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Vendor : IBM
Exam Code : P2020-079
Exam Name : IBM Initiate Master Data Service Support Mastery Test v1
Questions and Answers : 30 Q & A
Updated On : November 16, 2018
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P2020-079 Questions and Answers

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P2020-079 IBM Initiate Master Data Service Support Mastery Test v1

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P2020-079 exam Dumps Source : IBM Initiate Master Data Service Support Mastery Test v1

Test Code : P2020-079
Test Name : IBM Initiate Master Data Service Support Mastery Test v1
Vendor Name : IBM
Q&A : 30 Real Questions

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IBM IBM Initiate Master Data

IBM to acquire MDM dealer initiate programs | killexams.com Real Questions and Pass4sure dumps

IBM observed these days that it plans to acquire provoke techniques, one of the vital few final impartial grasp information management (MDM) vendors.

initiate programs, based mostly in Chicago, focuses on MDM and facts integration utility for healthcare and government companies. The proposed acquisition confirms rumors that IBM would make a play within the MDM market and is derived just days after Informatica introduced its purchase of initiate competitor Siperian.

"With the addition of initiate's application and its industry expertise, IBM will offer clients a comprehensive answer for providing the assistance they deserve to enrich the smartly-being of patients at a reduce can charge," Arvind Krishna, typical manager of counsel management at IBM, said in a press release. "in a similar fashion, our government customers will now have much more capabilities for gathering and applying suggestions to serve residents in a well timed and efficient method."

The aim of MDM is to create a single view of master data -- most often consumer and product statistics -- to be used all over an organization's operational, transactional and analytical purposes.

IBM has invested heavily in its statistics administration and analytics stack over the ultimate a few years, and the acquisition of provoke will continue that fashion. IBM competes with Oracle, SAP and now Informatica within the without delay consolidating MDM market.

IBM is also seemingly trying to capitalize on the anticipated boost in adoption of electronic scientific data, which initiate's MDM know-how helps through helping healthcare companies consolidate patient records.

Rob Karel, an analyst with Cambridge, Mass.-based mostly Forrester research, said that both Siperian and provoke methods have struggled to extend their consumer bases as unbiased carriers, making the contemporary acquisitions a logical movement for both.

"We reached an inflection factor," talked about bill Conroy, initiate's president and CEO, in a joint convention name with IBM. "may we as a small business keep up with the demands of our clients [for a more complete data management stack]?" The reply, curiously, became no.

The proposed acquisition may still benefit IBM in a number of methods, wrote Ray Wang, an analyst with Altimeter neighborhood in San Mateo, Calif., in a weblog publish following the announcement. IBM will inherit provoke's "powerful" statistics integration platform and "deep healthcare and public sector adventure."

The acquisition may still additionally assist IBM differentiate its MDM providing from rival Oracle, based on Wang -- but not before IBM does the hard work of harmonizing its dissimilar MDM applied sciences.

"today, IBM offers Infosphere MDM Server for PIM in keeping with Trigo product counsel management [PIM] and Infosphere MDM Server 9 based on DWL for consumer facts integration [CDI]," Wang wrote. "provoke methods adds a 3rd and capable product into the lineup it is optimized for consumer information."

Arvind Krishna, GM of IBM's counsel management business, observed IBM plans to present both product facts and client information MDM as separate choices.

initiate has 347 employees and counts CVS/Caremark, Humana, and the North Dakota branch of Human functions among its valued clientele. Neither enterprise published phrases of the deal, which is expected to close within the first quarter.


IBM Watson: The inside story of how the Jeopardy-successful supercomputer turned into born, and what it desires to do subsequent | killexams.com Real Questions and Pass4sure dumps

IBM Watson wowed the tech industry and a nook of U.S. pop tradition with its 2011 win against two of Jeopardy's most advantageous champions. here's how IBM pulled it off and a glance at what Watson's actual career goes to be.

Between them, they'd racked up over $5 million in winnings on the tv quiz reveal Jeopardy. They had been the most efficient gamers the display had produced over its decades-long lifetime: Ken Jennings had the longest unbeaten run at 74 winning appearances, while Brad Rutter had earned the greatest prize pot with a total of $three.25 million.

Rutter and Jennings have been Jeopardy-winning machines. And in early 2011, they agreed to an exhibition fit in opposition t an opponent who'd never even stood in the back of a Jeopardy podium before.

however this Jeopardy unknown had spent years getting ready to take on the two giants within the $1m in shape, taking part in one hundred games in opposition t previous winners in order to enhance his probabilities of winning.

That opponent did not smile, provided all his solutions in the same emotionless tone, and wouldn't sit down in the identical room as his fellow contestants. He needed to work too difficult at conserving his cool and turned into so noisy, it changed into idea he changed into too disruptive to take the podium in adult. He was kept in a returned room, his answers piped into the studio.

You wouldn't comprehend through him what he became pondering - possibly you'd spot only a tinge of coloration when he was difficult over a very hard question.

The contender began out with a run of profitable answers - he knew his Beatles songs, Olympic history, literary criminals. bound, he wasn't too widely wide-spread with his Harry Potter, however he stretched out a lead nonetheless, leaving Rutter and Jennings trailing hundreds of dollars at the back of.

however questions on a long time tripped him up, and Rutter fought returned, piling up enough cash to unsettle anyone who'd guess on the effect of the suit. by using the end of the first of the special exhibition fit suggests, you'd have been challenging pushed to figure out which turned into safest with your money.

but then Double Jeopardy happened. The upstart powered throughout the massive questions, profitable even with guesses he changed into removed from satisfied about, and placing ordinary bets that got here decent.

by way of the end of the 2nd episode, the unknown had $25,000 more than his closest opponent, Rutter. Rutter and Jennings regarded increasingly uncomfortable as it begun to seem like they'd get a pasting from the new boy, bobbing in frustration as their opponent buzzed in before them time and time once more.

"I, for one, welcome our new desktop overlords" Ken Jennings' response to losing to an exhibition Jeopardy fit to Watson

Jennings managed a late fightback in the third episode, but the new opponent gradually clawed back sufficient money to make it a close run.

All three as it should be answered the final question 'William Wilkinson's 'An account of the principalities of Wallachia and Moldavia' impressed this author's most noted novel' with 'who's Bram Stoker?' but Jennings appended his response with: "I for one welcome our new desktop overlords".

He, and Rutter, had misplaced to Watson - a room-sized beast of a machine made by using IBM and named after the business's founder Thomas J Watson.

Watson, inclusive of ten racks of ten power 750 servers, needed to be stored other than the human contestants because of the roar of its cooling system and changed into represented on the podium via an avatar of IBM's Smarter Planet brand, whose moving traces would go green when Watson had cracked a thorny difficulty, orange when the answer was wrong.

whereas Watson had the questions delivered in text as opposed to by paying attention to the quizmaster, he played the online game like his human counterparts: puzzle over the question, buzz in, supply the answer it truly is absolutely to be right, tot up some prize money.

And Watson was right lots of the time. He won the video game with $seventy seven,147 leaving Rutter and Jennings in the dirt with $21,600 and $24,000 respectively.

It grew to become out that the precise Jeopardy successful desktop became, smartly, a machine.

Three nights, two individuals, one machine and $1 million: the victory of IBM's Watson over two human contestants on Jeopardy was the first, and maybe only, time the laptop impressed itself on the commonplace public's awareness.

watson-jeopardy

IBM Watson defeated two of Jeopardy's most desirable champions.

photograph: IBM

however even before Watson secured its now-noted win, IBM become working on a way to turn the cute quiz demonstrate-dominating computing device into a serious company contender.

Watson begun lifestyles five years earlier than its television appearance, when IBM analysis execs have been attempting to find the next "Grand challenge" for the company. IBM periodically runs these Grand Challenges, chosen initiatives that pit man in opposition t machine, have foreign enchantment, are easy to hold close and entice individuals into working in science and maths fields. along with Watson, the Grand Challenges have spawned Deep Blue, the laptop that famously beat grand master Garry Kasparov at chess, and the Blue Gene supercomputer.

within the mid-2000s, IBM changed into searching for its subsequent Grand problem. Paul Horn, then director of IBM analysis, was in favour of attempting to improve a computing device that could win the Turing check, a way to measure machine intelligence by means of having a gadget try and fool a human into pondering that they're having a conversation with a further grownup.

As difficult as passing the Turing test is - no laptop has yet achieved it - it was felt that it wouldn't possibly easy up the general public's creativeness as different tasks had. however had been there any related challenges that might nevertheless bring these features of competing against humans and understanding human speech collectively?

"They initially talked about no, it be a foolish challenge to work on, it be too gimmicky, or not it's now not a real computer science test, and we likely can not do it anyway" IBM researchers' first tackle building a desktop that may win Jeopardy

"Beating a human in Jeopardy is a step in that route - the questions are complex and nuanced, and it takes a different category of laptop to have an opportunity of beating a human by means of answering those category of questions. i used to be running the research division and i changed into bugging americans in the business enterprise, in certain [former EVP in IBM's software group] Charles Lickel," Horn observed.

Lickel was inspired to take on the problem of building a Jeopardy-successful laptop after having dinner with his crew. "We had been at a steak house in Fishtail, manhattan. within the center of dinner, swiftly the complete restaurant cleared out to the bar - I turned to my crew and requested 'what's going on?'. It changed into very strange. I hadn't in reality been following Jeopardy, however became out it turned into when Ken Jennings become having his long successful streak, and everyone wanted to find out if he would win once more that evening, and they'd long gone to the bar to peer," Lickel referred to. Jennings won as soon as again that night, and nevertheless holds the longest unbeaten run on Jeopardy with 74 appearances undefeated.

The idea of a quiz champion machine did not immediately win his team round, with lots of Lickel's most useful body of workers saying they did not accept as true with a desktop may compete with, let alone beat, flesh and blood champions.

"They at the beginning pointed out no, it be a silly undertaking to work on, or not it's too gimmicky, it be no longer a real laptop science test, and we likely cannot do it anyway," said Horn.

in spite of this, a crew sufficiently adventuresome to tackle the challenge of constructing a Jeopardy winner was discovered.

It became still a small task and innovations of commercialisation weren't uppermost in anybody's intellect - Grand Challenges were demonstration tasks, whose return for the enterprise become extra within the buzz they created than in a contribution to the bottom line. If commercialisation came about, tremendous - however for now, Watson was just somewhat of a moonshot for IBM.

due to the preliminary dimension of the hassle, it became funded from the analysis group's usual budget and did not require sign-off from large Blue's greater-ups, meaning it could operate freed from the industrial pressures of most initiatives.

Jeopardy's quirk is that in its place of the quizmaster surroundings questions and contestants proposing the reply, the quizmaster gives the answers, called 'clues' in Jeopardy-talk, to which contestants give a query. not only would the computing device deserve to be in a position to produce questions for the viable clues that may come its approach on Jeopardy, it could should be able to first pull apart Jeopardy's tricksy clues - work out what changed into being requested - earlier than it might even give the correct response.

trebeck-jeopardy

Jeopardy host Alex Trebeck and the IBM team speak about the exhibition healthy with Watson.

photo: IBM

For that, IBM developed DeepQA, a massively parallel software structure that examined herbal language content in each the clues set by Jeopardy and in Watson's personal kept records, along with looking into the structured suggestions it holds. The component-primarily based system, constructed on a collection of pluggable add-ons for looking and weighting suggestions, took about 20 researchers three years to reach a level where it might address a quiz reveal efficiency and are available out looking more desirable than its human opponents.

First up, DeepQA works out what the query is asking, then works out some possible solutions in accordance with the assistance it has to hand, making a thread for every. every thread uses tons of of algorithms to study the proof, looking at components including what the suggestions says, what classification of guidance it is, its reliability, and the way probably it's to be valuable, then developing a person weighting according to what Watson has prior to now learned about how doubtless they are to be correct. It then generated a ranked listing of solutions, with evidence for every of its alternate options.

The assistance that DeepQA would finally be capable of query for Jeopardy changed into 200 million pages of suggestions, from lots of sources. all of the suggestions needed to be in the community stored - Watson wasn't allowed to connect to the web all the way through the quiz - and understood, queried and processed at a good clip: in a Jeopardy's case, Watson needed to spit out an solutions in a remember of seconds to make sure it changed into first to the buzzer.

"after I left IBM in end of 2007, Watson was an embryonic challenge," spoke of Horn. "It had three americans in Charles Lickel's enviornment that got the facts from the old Jeopardy programmes and were starting to educate the desktop. It could barely beat a five yr historic at the moment. The projection became 'god knows how lengthy it could take to beat an adult, let alone a grand champion'. Then over time when it appeared like they begun to have a chance, Dave under the leadership of John Kelly grew the mission into some thing vast," talked about Horn.

while there is nevertheless debate over precisely when the theory of creating Watson pay its manner ultimately took shape at IBM, when Watson took to the stage for its Jeopardy-successful efficiency, the exhibit featured IBM execs speakme about viable uses for the system in healthcare, and moves to set up a Watson business unit started no longer long after the Jeopardy display aired.

IBM's then-CEO Sam Palmisano and its latest CEO Ginni Rometty, under whose remit Watson fell on the time, begun discussions in the weeks after the win, and the challenge became moved from below the wing of IBM research and into the IBM application neighborhood.

In August of 2011, the Watson business unit proper came into being, headed up via Manoj Saxena, who'd joined IBM some years earlier when the business he labored for, Webify, was acquired through IBM.

Saxena turned into the unit's worker number one. within three months, he had been joined via 107 new Watson staffers, basically technologists within the fields of herbal language processing and computer researching.

Healthcare had already been suggested because the first industry Watson may still goal for business choices, but there have been no plans to confine it simply to medication. Any suggestions-intensive business became reasonable video game, anyplace had been there were big volumes of unstructured and semi-structured data that Watson could ingest, remember and system sooner than its human counterparts. Healthcare could be a starting point, however banking, coverage, and telecoms had been all in the firing line.

but how do you flip a quiz show winner into whatever more enterprise-like? First job for the Watson team turned into to become familiar with the desktop they'd inherited from IBM research, take into account the forty one separate subsystems that went into Watson, and determine what needed to be fixed up earlier than Watson may placed on its go well with and tie.

in the Watson unit's first 12 months, the equipment acquired speeded up and slimmed down. "We serialised the threads and how the utility worked and drove up the efficiency," Saxena noted. "The gadget today in comparison to the Jeopardy equipment is approximately 240 % quicker and it is one-sixteenth the measurement. The equipment that was the size of a master bed room will now run in a equipment the size of the vegetable drawer for your double-drawer fridge."

a different manner of looking at it: a single vigour 750 server, measuring 9 inches high, 18 inches large and 36 inches deep, and weighing in at round 100 kilos. Having obtained the gadget to a greater manageable size for corporations, it set about discovering consumers to take it on.

IBM had healthcare pegged as its first vertical for Watson from the time of the Jeopardy win. youngsters, while Jeopardy Watson and healthcare Watson share a standard heritage, they're different entities: IBM forked the Watson code for its business incarnation.

"The equipment that become the size of a master bedroom will now run in a equipment the measurement of the vegetable drawer for your double-drawer refrigerator" Watson VP Manoj Saxena on the shrinking Watson

Jeopardy Watson had one project - get a solution, understand it, and find the question that went with it. It become a single user device - had three quizmasters put three solutions to it, it could have thrown the laptop right into a spin. Watson needed to be retooled for a situation where tens, lots of, besides the fact that children many, clinicians would be asking questions directly, and never single questions either - advanced conversation with a few linked queries one after the different, all asked in non-usual formats. And, of course, there changed into the English language itself with all its messy complexity.

"there have been fundamental areas of innovation that needed to be completed to head beyond Jeopardy - there become a huge quantity of pre-processing, publish-processing and tooling that we now have brought across the core engines," introduced Saxena. "or not it's the equal of getting a Ferrari engine then attempting to construct a whole race car around it. What we inherited became the core engine, and we observed 'k, let's build a brand new component that does all type of issues the customary Jeopardy gadget wasn't required to do'."

To get Watson from Jeopardy to oncology, there have been three methods that the Watson group went through: content material adaptation, training adaptation, and practical adaptation - or, to place it another method, feeding it clinical guidance and having it weighted as it should be; testing it out with some apply questions; then making any technical alterations crucial - tweaking taxonomies, for example.

The content material adaptation for healthcare adopted the identical course as getting Watson up to pace for the quiz exhibit: feed it guidance, exhibit it what correct feels like, then let it bet what right looks like and proper it if it be incorrect. In Jeopardy, that supposed feeding it with hundreds of question and answer pairs from the show, and then demonstrating what a correct response seemed like. Then it become given just the solutions, and requested to get a hold of the questions. When it went wrong, it became corrected. via machine discovering, it will start to get a address on this reply-query thing, and alter its algorithms for this reason.

watson-on-phone

Watson has moved on to solutions that may energy searches from smartphones. photograph: IBM

"it will be fed many instances where the historical past was known and appropriate medication became known, and then, analogous to practicing for Jeopardy, or not it's been given circumstances after which it suggests healing procedures," Kohn spoke of.

Some information came from what IBM describes as a Jeopardy-like online game called doctor's catch 22 situation, whose questions include 'the syndrome characterized via joint ache, belly ache, palpable purpura, and a nephritic sediment?'. (The answer, of route, is Henoch-Schönlein purpura.)

The practising, says Kohn, "is an ongoing procedure, and Watson is rapidly improving its means to make in your price range thoughts the oncologists consider are beneficial."

by 2012, there have been two healthcare firms that had started piloting Watson.

Wellpoint, one of the most US largest insurers, became one of the most pair of agencies that helped define the application of Watson in fitness. The different changed into Memorial Sloan-Kettering melanoma middle (MSKCC), an employer IBM already had a relationship with and which is found not far from each IBM's own Armonk headquarters and the analysis laboratories in York Heights, long island that still apartment the primary Watson.

And it was this relationship that helped spur Watson's first industrial circulation into working in the field of cancer healing procedures. whereas the use of Watson as a prognosis device might be its most obtrusive software in healthcare, the usage of it to aid in selecting the best remedy for a cancer patient made even more experience. MSKCC become a tertiary referral centre - by the time patients arrived, they already had their prognosis.

So Watson was destined first to be an oncologist's assistant, digesting reams of facts - MSKCC's own, scientific journals, articles, patients notes and more - along with sufferers' preferences to come up with counsel for treatment alternatives. each and every would be weighted thus, reckoning on how valuable Watson calculated they have been.

in contrast to its Jeopardy counterpart, healthcare Watson also has the potential to go browsing - now not all its records needs to be saved. And whereas Watson had two million pages of scientific statistics from 600,000 sources to swallow, it might nonetheless make use of the universal competencies garnered for Jeopardy - particulars from Wikipedia, as an example. (What it would not use, besides the fact that children, is the city Dictionary. Fed into Watson late last year, it become reportedly removed after answering a researcher's question with the observe "bullshit". "We did discover some unique responses, so we had to shut that down," Saxena pointed out diplomatically. "That is not to be repeated, since it can be considered as very unsuitable in certain cases, and we had to teach Watson the appropriate company behaviour.")

watson-info-box

This chart, carried out a yr after Watson's Jeopardy win, suggests some of its swift progress.

picture: IBM

As such, the sources are now scientific publications like Nature and the British scientific Journal. And there are different safeguard nets too.

"within the educating part, a doctor - a melanoma care professional during this case - sits down and asks questions of Watson and corrects the computer gaining knowledge of. The doctor and a data scientist are sitting next to every different, correcting Watson. Spurious cloth, or conflicted material or something from a pharmaceutical business that the medical professional feels may well be biased - it really is caught all the way through the practising cycle," introduced Saxena.

WellPoint and MSKCC used Watson because the foundation for programs that could read and take into account volumes of medical literature and different information - sufferers' treatment and family unit histories, for instance, in addition to scientific trials and articles in scientific journals - to assist oncologists by way of recommending classes of medication.

A yr of working with each businesses has produced industrial products: Interactive Care Insights for Oncology, and the WellPoint Interactive Care e-book and Interactive Care Reviewer. Interactive Care Insights for Oncology provides assistance for medication plans for lung cancer sufferers, while New WellPoint Interactive Care e-book and Interactive Care Reviewer reviews clinicians' counseled cures towards their patients' plans and is expected to be in use at 1,600 healthcare suppliers this year.

Watson has larger ambitions than a clinician's assistant, besides the fact that children. Its scientific competencies is around that of a first yr scientific student, in response to IBM, and the enterprise hopes to have Watson move the time-honored clinical licensing board checks within the no longer too far away future.

"Our work nowadays is within the very early stages round apply of drugs, round persistent care diseases. We're starting with melanoma and we are able to quickly add diabetes, cardiology, mental fitness, different persistent illnesses. after which our work is on the charge side, where we are streamlining the authorisation and approval technique between hospitals, clinics and insurance companies," Saxena pointed out.

The most desirable aim for Watson is to be an support to analysis - rather than simply suggesting remedies for cancer, as it does these days, it could aid medical doctors in deciding upon the illnesses that bring people to the clinics in the first place.

earlier than then, there is figure to be accomplished. whereas massive facts vendors often trumpet the increase of unstructured records and the abandoning of relational databases, for Watson, or not it's these older sources of records that present greater of a problem.

"Watson works in particular with natural language - free text or textual content-like counsel - and that's the reason approximately 80 p.c of the huge volumes of healthcare tips purchasable to us," observed Kohn. "Then there's the 20 p.c this is structured facts - in reality, numerical statistics - or photos, like MRIs, CAT scans, etc. Watson does not procedure structured information without delay and it doesn't interpret images. it will possibly interpret the report connected to a picture, however no longer the graphic itself."

in addition, IBM is engaged on making a broader healthcare providing that allows you to take it past its oncology roots.

"although Watson is working with these two organizations, what the designers and laptop scientists are focusing on [is] that whatever they develop is generalisable, or not it's now not simply area of interest for melanoma therapy and particularly for the a few cancers we're working with. We're the use of it as a gaining knowledge of process to create algorithms and methodologies that could be effectively generalisable to any enviornment of healthcare. They do not have to ought to say, right, we now have oncology below handle, now let's start once again with family follow or cardiology," Kohn spoke of.

ibm-citiback-ebrain

Citi and IBM were collaborating on enterprise techniques because the times of the early mainframes.

picture: IBM

Watson has additionally already discovered some interest in banking. Citi is the use of Watson to enhance consumer adventure with the financial institution and create new capabilities. it's easy to peer how Watson may be put to use, say, figuring out no matter if a borderline-risk enterprise customer is probably going to repay the personal loan they've utilized for, or used to opt for situations of fraud or identity theft earlier than purchasers may well be conscious they may be happening.

Citi remains early in its Watson experiments. A spokeswoman observed the company is at the moment simply "exploring use situations".

From right here on in, as opposed to being standalone items, the subsequent Watson choices to hit the market could be embedded into products within the IBM Smarter Planet product line. they may be expected to seem within the second half of the yr.

the first such Smarter Planet product appeared in may: IBM Engagement advisor. The idea behind the Engagement marketing consultant, aimed toward contact centres, is that client carrier agents can query their employers' databases and other counsel sources the usage of herbal language whereas they are conducting helpline conversations with their customers. one of the most agencies trying out out the provider is Australia's ANZ financial institution, where it may be aiding call centre team of workers with making monetary services concepts to people who ring up.

watson-question-phone

Ask Watson goes some distance past what Apple's Siri can do, IBM believes.

graphic: IBM

Watson could possibly at some point scour available evidence for the top-rated time to find someone in a position to speak and decide the verbal exchange channel absolutely to generate a favorable response, or pore over social media for disgruntled purchasers and provide answers to their issues in natural language.

There are also plans to alternate how Watson's delivered, too. instead of just interacting with it via a call centre employee, shoppers will quickly be able to become familiar with the Engagement guide. rather than have some name centre agent study out Watson generated information to a consumer with, say, a fault with their new washing computing device or a stock-trader looking tips on updating their portfolio, the purchaser and trader could simply quiz Watson directly from their cellphone or pill, via typing their question straight into a business' app. Apps with Watson below the hood may still be out in the latter half of this yr, based on Forbes.

IBM professionals have also previously counseled that Watson might become a supercharged edition of Siri, the place americans might be in a position to talk without delay into their telephone and pose a posh question for Watson to answer - a farmer preserving up his smartphone to take video of his fields, and asking Watson when to plant corn, for instance.

IBM is raring to spell out the changes between Watson and Siri. "Watson knows what it is aware of - and through listening, getting to know and the usage of human-like thinking capabilities uncovers insights from large records, Watson additionally promptly ascertains what it does not understand. Siri, having said that, simply appears for key terms to go looking the web for lists of alternatives that it chooses one from," the company says. however, the comparison holds: Watson could actually have a future as your infinitely knowledgeable very own assistant.

while including voice-awareness capabilities to Watson may still be no amazing shakes for IBM given its current partnerships, this sort of circulation would require Watson to be in a position to understand pictures (whatever thing IBM's already engaged on) that might require Watson to question all forms of sources of information including newspapers, books, photographs, repositories of facts which have been made publicly purchasable, social media and the information superhighway at enormous. That Watson should take on such a job within the coming years, notably if the processing goes on in an IBM datacentre and not on the mobile itself, as you might expect, is definitely inside the nation-states of the viable.

As IBM seeks to embed Watson's capabilities into further and further items, how a long way does the business suppose Watson will unfold in the coming years? it is going to handiest say gnomically, "as we proceed to scale our capabilities, we intend to make Watson obtainable as a group of capabilities in many industries." need a much better answer? more desirable ask Watson.

See all TechRepublic Newsletters

IBM Acquires records administration application company initiate techniques | killexams.com Real Questions and Pass4sure dumps

IBM has received Chicago-primarily based utility firm provoke techniques. provoke helps healthcare suppliers and different govt groups manipulate and arrange facts across a considerable number of sources. terms of the deal were not disclosed.

It looks that the acquisition is aimed at boosting IBM’s healthcare offerings. in response to IBM, initiate’s utility us at the moment in use at more than 2,four hundred healthcare sites, over 40 health counsel exchanges and assorted govt health techniques around the globe including CVS/Caremark, Blue move Blue preserve, United Healthcare features and the branch of Veterans Affairs.

provoke speeds the adoption and trade of electronic scientific information by way of permitting medical professionals to access to comprehensive clinical histories of sufferers right now and simply. The utility additionally caters to government agencies to aid share facts across dissimilar businesses.

initiate should be IBM’s thirtieth acquisition within the suggestions administration and analytics section and big Blue’s 90th acquisition considering 2003. final year, IBM received six agencies, together with Guardium, RedPill solutions, SPSS, Ounce Labs, Exeros and Outblaze.

while IBM is kicking of 2010’s shopping spree with initiate, it will be entertaining to look the different buyout huge Blue has up its sleeve.


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P2020-079 exam Dumps Source : IBM Initiate Master Data Service Support Mastery Test v1

Test Code : P2020-079
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Replicating from MySQL to NuoDB using Tungsten Replicator | killexams.com real questions and Pass4sure dumps

RavenDB vs MongoDB: Which is Better? This White Paper compares the two leading NoSQL Document Databases on 9 features to find out which is the best solution for your next project.  

Tungsten Replicator is a software package that allows replication to be established between MySQL and another database product.  This blog post describes how to configure replication between MySQL and NuoDB.  The benefits of doing this are to:

1. Offload realtime analytics from an overloaded operational MySQL instance.  Both NuoDB and MySQL would run side by side with NuoDB managing operational analytics.

2. Completely migrating an operational data store to NuoDB, to reap the benefits of elastic scalability without sharding, simple to manage redundancy, and built-in support for active-active geo-redundancy.

Here is how to configure replication from MySQL to NuoDB:

Step #1. Configure MySQL

MySQL must be configured to use row-based replication with no checksums. To achieve that, make sure /etc/my.cnf has the following entries:

[mysqld] binlog-format=row log-bin=mysql-binlog server-id=1 loose-binlog-checksum=NONE loose-log-bin-use-v1-row-events=1

and then restart MySQL.  If you are running MySQL 5.6 , the loose-binlog-checksum and log-bin-use-v1-row-events options will make MySQL write the replication log in the 5.5 format that is compatible with Tungsten.

Step #2. Obtain and compile Tungsten Replicator (requires Ant and Ruby) git clone https://github.com/tazija/tungsten-replicator cd tungsten-replicator/builder/ ./build.sh Step #3.  Initiate Replication using Tungsten

These commands start the necessary Tungsten Replicator processes that communicate with MySQL and with NuoDB. You may need to modify the username and password arguments to match your environment.

./build/tungsten-replicator-2.1.0/tools/tungsten-installer \ --master-slave \ --advanced \ --master-host=127.0.0.1 \ --datasource-type=mysql \ --datasource-port=3306 \ --datasource-user=<MYSQL_USER> \ --datasource-password=<MYSQL_PASSWORD> \ --service-name=replicator \ --cluster-hosts=127.0.0.1 \ --home-directory=/opt/tungsten/extractor \ --rmi-port=10001 \ --thl-port=12001 \ --skip-validation-check=MySQLPermissionsCheck \ --skip-validation-check=InstallerMasterSlaveCheck \ --java-file-encoding=UTF8 \ --mysql-enable-settostring=true \ --mysql-enable-enumtostring=true \ --mysql-use-bytes-for-string=false \ --svc-parallelization-type=none \ --start-and-report ./build/tungsten-replicator-2.1.0/tungsten-replicator/bin/trepctl -port 10001 status ./build/tungsten-replicator-2.1.0/tools/tungsten-installer \ --master-slave \ --advanced \ --master-host=127.0.0.1 \ --master-thl-port=12001 \ --datasource-type=nuodb \ --nuodb-database=test \ --datasource-user=dba \ --datasource-password=goalie \ --service-name=replicator \ --cluster-hosts=127.0.0.1 \ --home-directory=/opt/tungsten/applier \ --rmi-port=10011 \ --thl-port=12002 \ --skip-validation-check=InstallerMasterSlaveCheck \ --svc-parallelization-type=none \ --property=replicator.applier.failure_policy=warn \ --java-file-encoding=UTF8 \ --start-and-report ./build/tungsten-replicator-2.1.0/tungsten-replicator/bin/trepctl -port 10011 status Step #4. Migrate the existing data

The following commands will export both the schema and the data from MySQL into NuoDB using the NuoDB Migrator tool – see http://www.nuodb.com/techblog/2013/06/26/migrating-a-mysql-application-to-nuodb/.  The migrator tool will create an equivalent schema to the source MySQL database in NuoDB and populate the NuoDB database with a copy of the data – essentially doing a one time synchronization of NuoDB with the base data in MySQL.  We recommend doing this step when the source database is idle.

export CLASSPATH=/usr/share/java/mysql-connector-java.jar:$CLASSPATH /opt/nuodb/bin/nuodb-migrator schema \ --source.driver=com.mysql.jdbc.Driver \ --source.url=jdbc:mysql://localhost/<MYSQL_SCHEMA> \ --source.username=<MYSQL_USERNAME> \ --source.password=<MYSQL_PASSWORD> \ --target.url=jdbc:com.nuodb://localhost/test \ --target.username=dba \ --target.password=goalie \ --target.schema=test /opt/nuodb/bin/nuodb-migrator dump \ --source.driver=com.mysql.jdbc.Driver \ --source.url=jdbc:mysql://localhost/<MYSQL_SCHEMA> \ --source.username=<MYSQL_USERNAME> \ --source.password=<MYSQL_PASSWORD> \ --output.type=csv \ --output.path=/tmp/mysql-dump /opt/nuodb/bin/nuodb-migrator load \ --input.path=/tmp/mysql-dump \ --target.url=jdbc:com.nuodb://localhost/test \ --target.username=dba \ --target.password=goalie \ --target.schema=test

That is it, Tungsten will keep NuoDB synchronized as changes are made to the MySQL source database.  You can check that any updates made on the MySQL server are propagated to the NuoDB database with your app or favorite SQL editing tool.  These steps can also further be orchestrated to reduce/eliminate downtime.

What’s next?

This post gave a great overview of how to replicate a MySQL database.  In an upcoming post we’ll focus on a migration using a active mysql instance and walk through the details around a live cutover with no downtime or data loss.

Our current solution currently doesn’t support DDL statement being issued on the MySQL side that contains MySQL-specific syntax.  We’re also looking to add support for that.

We wish to thank our friends at Continuent for creating Tungsten, it is an excellent piece of infrastructure for managing the complexity of replication.  It has been very easy to work with.


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Do We Really Understand Unconventional Warfare? | killexams.com real questions and Pass4sure dumps

Do We Really Understand Unconventional Warfare?

America May Not Be Interested In Unconventional WarfareBut UW Is Being Practiced Around The World By Those Who Are Interested In It

David S. Maxwell

The United States has the most powerful conventional military force and the strongest nuclear deterrent in the world. It remains the sole superpower because it is well prepared to fight and win in state on state conflict.  Yet the majority of wars, conflicts, and threats in the 21st Century are unlikely to be purely conventional or nuclear.  In the 21st Century we are more likely to experience kinds of warfare for which scholars have been hard pressed to find a name. Scholars have used many names including irregular warfare, hybrid warfare, 4th Generation Warfare, and of course the post 9-11 rediscovery of insurgency and counterinsurgency.  Yet despite all these various names the one overarching form of warfare that encompasses all is unconventional warfare (UW). However, the fundamental question is do we understand unconventional warfare?  And if not, why not?

We know that the Department of Defense (DOD) defines unconventional warfare as “activities to enable a resistance movement or insurgency to coerce, disrupt or overthrow a government or occupying power through and with an underground, auxiliary, and guerrilla force in a denied area.”[1]  Although this was designed by the United States Special Operations Command (USSOCOM) UW working group in 2009 to be a broad definition and apply generally to this form of warfare and not specifically from a U.S. centric perspective it continues to connote a very narrow description of warfare (e.g., the overthrow of a hostile government) and has often been relegated to the province of Special Operations Forces and more specifically Special Forces.[2]  Furthermore many political leaders either fear the blowback from such operations or, perhaps worse, have unrealistic expectations of the efficacy of UW.  However, as I have argued before, if the United States is going to consider employing unconventional warfare as an option in support of policy and strategy then it is imperative that policy makers, strategists, and theater commanders and staffs have sufficient understanding of and appreciation for unconventional warfare not only if UW is to be conducted by the US government but also for when the US government must develop policies and strategies to conduct operations to counter unconventional warfare executed by opponents of the US or our friends, partners and allies.[3]

Although this definition now resides in the DOD dictionary there is no DOD or joint level doctrine specifically for unconventional warfare.  There is no national policy for unconventional warfare.  There is Army Special Operations Forces (SOF) and Special Forces doctrine[4] but, as we know, few people in uniform or out really read, study, internalize, and practice the concepts published in our doctrine.  USSOCOM has been working over the past year to remedy the lack of joint and DOD doctrine and will soon publish the first ever joint doctrine for UW; however, that is unlikely to solve the problem of policy makers and strategists not appreciating and understanding unconventional warfare and all that operating in that realm of warfare entails.  There seems to be an insufficient intellectual foundation in unconventional warfare.

Before addressing the lack of intellectual foundation let me state for clarity the essence of UW.  Definitions and doctrine aside, unconventional warfare at its core is about revolution, resistance, and insurgency (RRI) combined with the external support provided to a revolution, resistance, or insurgency by either the US or others (who may or may not have interests aligned with the US and may in fact be opposed to the US and our friends, partners, and allies).  This is a type of warfare that is timeless, timely, and something that we can expect to occur over time in the future.  It is both political in nature and at times violent – even as violent as conventional warfare in some cases.

What makes me say that we do not have an understanding of and appreciation for unconventional warfare?  Two recent articles from the New York Times and the Daily Beast illustrate this.  In the first Mark Mazzetti writes about a classified CIA report that alleges that the US has rarely been successful in training and equipping rebel forces and because of this report the US Administration was reluctant to arm and train Syrian rebels.[5]  Christopher Dickey takes issue with the report and claims there have been some successes despite there often being an “acrid aftertaste” as in the case of the Afghan war in the 1980s.[6]

What the Mazzetti and Dickey articles (as well as simply the emphasis on “train and equip" by government spokespeople and pundits) illustrate is that policy makers really do not understand the nature and conduct of unconventional warfare.  It is neither an abject failure in every case nor is it a war winner in almost any case but it is a viable strategic option if used in the right conditions at the right time by the right organizations.  But most importantly it is both risky and hard and what makes it most difficult for policy makers and the public is that it is time consuming.  It cannot be employed "in extremis" in most cases (in the fall of 2001 post 9-11 being an exception) and really requires long-term preparation, thorough assessments, and relationships with key players to have chance of being successful.  And most importantly it must absolutely be part of and in support of a coherent policy and strategy.

Again to restate the problem there is little intellectual foundation for unconventional warfare.  Yes there are some important books to ready from Max Boot’s Invisible Armies to John Tierney’s Chasing Ghosts, to John McCuen’s The Art of Counter-Revolutionary Warfare as well as works by Hy Rothstein and Thomas K. Adams and one of the most prescient studies by the late Sam Sarkesian from 1993: Unconventional Conflicts in a New Security Era.  These are all important to read and I would commend them to any policy maker or strategist; however, what the all lack is how to think about the strategic application of unconventional warfare because they do not delve sufficiently into the common “principles” used to conduct unconventional warfare (save perhaps McCuen’s work).  There is only one time in the history of the US military that unconventional warfare was sufficiently studied to provide the necessary knowledge to policy makers and strategists and that was in the 1950-1960’s with the Special Operations Research Office (SORO) and the partnership between the Army and the Academy. 

We have a number of contemporary examples about UW that are worth examining to illustrate both our lack of understanding as well as the continuing importance of UW.  We have only to look at both Libya and Syria from a US perspective and how we either “led from behind” or are now focusing only on train and equip.  We have thoroughly adopted such concepts as “through, by, and with” and “train and equip” and “building partner capacity” as ways in our strategic calculus.  But we do not understand the complexity, the difficulties and the depth of operations and activities necessary for the conduct of effective UW and we expect to simply apply building partner capacity and train and equip to problems that may require an understanding of UW to support a strategy.  This is most prominently illustrated by the public statements of our political leadership and pundits who only focus on training and equipping rebel forces as if this action is enough to succeed and achieve our interests.  The second example we have comes from competitors and opposition.  We are seeing variations of UW conducted by the Russians and their New Generation Warfare,[7] the Chinese and their Three Warfares,[8] and the Iranian Action Network.[9]  And finally groups like Al Qaeda and the Islamic State of Iraq and the Levant (ISIL) are conducting variations of UW (though ISIL might be said to have completed its UW campaign and is now functioning like a quasi-state).  Interestingly the roots of these strategies and campaigns can be found in George Kennan’s political warfare that he described in his 1948 memo to the Policy Planning Staff:

Political warfare is the logical application of Clausewitz's doctrine in time of peace. In broadest definition, political warfare is the employment of all the means at a nation's command, short of war, to achieve its national objectives. Such operations are both overt and covert. They range from such overt actions as political alliances, economic measures (as ERP--the Marshall Plan), and "white" propaganda to such covert operations as clandestine support of "friendly" foreign elements, "black" psychological warfare and even encouragement of underground resistance in hostile states.[10]

Kennan describes the realm of revolution, resistance, and insurgency that can contribute to coercing, disrupting or overthrowing a government or occupying power.  These are truly strategic actions and objectives but the question remains: do we understand what it requires to implement strategies with campaigns that either support or counter-revolutions resistance, or insurgency. 

To graphically illustrate our lack of understanding of unconventional warfare we can turn to two charts from the Assessing Revolution and Insurgency Strategy (ARIS) project.[11]  The first depicts the relationship and relative size of the fundamental components of UW: the underground, the auxiliary, and the guerrilla or armed military force as well as the public component.

For some years in Syria we have been focusing on training and equipping the “armed component” (and until recently provided only limited non-lethal assistance).  Yet it is the underground that provides the key to understanding the motivation, objectives, interests, methods, and strategy of the leadership of a revolution, resistance, or insurgency (RRI).  It is through the underground that we can not only vet members but also try to determine one of the most important questions of “what comes next?” after the organization achieves success.  We really need to assess all the organizations of an RRI and not solely the armed component, which seems to always be the focus of our strategy and activities.

Another chart illustrates the scope of activities in an RRI environment and in particular the underground.  We tend to focus only on the “tip of the UW iceberg.”

Again, the focus on the armed component as the main effort shows that we lack the depth of knowledge required to not only understand UW but to devise strategies that include UW as an option and most importantly to support UW operations. 

Conversely when faced with the threats of RRI to our friends, partners, and allies, we need to understand the same relationships, methodologies and concepts in order to devise strategies and campaigns to counter our opponents’ UW operations (assuming we deem it in the US national interest to do so).

The above charts are from the Assessing Revolution and Insurgent Strategy Project (ARIS).  As noted this project existed in the 1950’s and 1960’s as part of the Special Operations Research Office.[12]  There has not been an organization like SORO since that time that has provided the intellectual foundation for UW.  However, the work of SORO has not been lost and in fact has been not only captured but updated.  A partnership between the US Army Special Operations Command and the Johns Hopkins University Applied Physics Laboratory led by Paul Tomkins, a retired Special Forces Officer has resulted in updated versions of the project, building on the foundational intellectual framework from the 50’s and 60’s.

While we lament the lack of national policy and DOD and joint doctrine on UW, we should look to the ARIS project for the intellectual foundation for UW based on history but well adapted to the present and for the future.  Even some within the Special Operations community dismiss any study of historical examples of UW as anachronistic and not worth the effort necessary to develop a deep understanding of the phenomena.  However, within the ARIS project are not only case studies of revolution, resistance, and insurgency from the 20th Century through 2009, there is detailed analysis of current UW practices, methods and strategies being employed in the contemporary operating environment.  Although I strongly recommend that the entire project be studied I commend two of the works so that those who wish to being to understand contemporary UW can begin to build the foundation necessary to understand and appreciate the need to have strategies that employ UW along with the ability to counter UW as part of the national security tool kit.

In Underground, Insurgent, Revolutionary, and Resistance Warfare (2d Edition, 25 January 2013) a reader can glean important insights into recruiting to include radicalization as we understand it today, financing of UW operations (e.g., “threat financing,” and the development of shadow governments just to name a few of the important topics. In Human Factors Considerations of Undergrounds in Insurgencies (2d Edition, 25 January 2013) one can understand how the Internet and media are exploited by resistance and insurgent organizations, the use of propaganda, group dynamics and more on radicalization, the employment of terrorism as well as nonviolent resistance.  We find everything from the political action to subversion, to violence in the ARIS Project, with the all-important emphasis on human factors.  What is important is that the ARIS Project is not a rehash of historical UW (though you can trace its development through history).  It provides the most relevant and current information on how various resistance organizations are conducting UW around the world.  The techniques, methodologies and strategies discussed throughout the myriad publications in the entire project provide us with the knowledge for our own employment of UW as well as our strategies for countering UW. 

However, I have heard from friends in the national security community that there is great reluctance to describe the actions threat organizations as unconventional warfare or to advocate that the US should employ unconventional warfare.  There seems to be no stomach for the complex, violent, messy, and difficult to control nature of unconventional warfare.  However, it is clear to UW practitioners that there is a role for UW in Syria if our intent is to support resistance to ISIL (as well as Assad).  And of course assessing the resistance from a UW perspective might also reveal that support to the resistance is infeasible.  But if our strategy in Syria and Iraq fails, a contributing factor could very well be our distain for UW.  We have both deniers of UW threats (who want to “bin” everything in terrorism and insurgency) and those who think UW is anachronistic and not longer relevant.  To which I respond, read, study and internalize the ARIS project and you will be enlightened and if not you will remain in the dark about UW.  UW is not some passing phenomena.  It is also something not to be romanticized in ways such as been done with the re-emergence of counterinsurgency.  To borrow a time worn dictum we have to deal with the world as it really is and not as we would wish it to be.  Unfortunately some in the national security wish they did not have to worry about UW, either ours, or our enemies’.

There is much more to discuss on UW and countering UW. We need to determine effective concepts of employment and especially campaign plans in support of strategy and we need to develop policy makers and strategists who understand the complex nature of UW and recognize how it is being employed around the world.  We need to figure out how to train not only military forces in UW but the intelligence community and other government agency personnel as well.  We should also determine if we need a new SORO-like organization.

Let me close with two thoughts. First, if you are going to enter the discussion or criticize UW as anachronistic and no longer of value because terrorism and insurgency are the dominant threats then I would urge you to first read the ARIS project especially the two books on human factors and undergrounds.  Second, I would offer the following as something to think about as we look to the future of UW.

I argue that one of the important missions for both the intelligence and the SOF communities is the continuous assessment the resistance potential of current, nascent and potential future revolutionary, resistance, and insurgent organizations.  By understanding the resistance that exists around the world we will be in a better position to develop strategic options and avoid many of the pitfalls we have experienced in the past decades and that the CIA report referenced in the NY Times will likely show.  But the problem really lies with policy makers who grasp at straws and want to "do something" and then force the intelligence community and SOF to conduct long duration unconventional warfare operations "in extremis" without the necessary preparations or understanding of the operational and strategic environment.

A modification of the fourth SOF truth[13] might be that it is hard to conduct effective UW by beginning UW operations after crises occur.  (Of course Afghanistan 2001 might be considered an exception by some but the reality is that the success of OEF from October 2001 to January 2002 rested on the foundation of relationships built prior to 9-11 that allowed for at least sufficient understanding of the resistance potential.)  The same is true for countering UW.  America can only be effective in UW and Counter UW if it invests in developing the intellectual foundation necessary to develop strategies and campaign plans.  The ARIS Project is part of that foundation.

UW comes from the past, is here in our present, and will be around in our future.  And with no apology to Trotsky for stealing his idea:  You may not be interested in UW but you can be damn sure UW is interested in you.

David S. Maxwell is the Associate Director of the Center for Security Studies and the Security Studies Program in the School of Foreign Service at Georgetown University. He is a 30 year veteran of the US Army retiring as a Special Forces Colonel with his final assignment serving on the military faculty at the National War College. He spent the majority of his military service overseas with nearly 25 years in Asia, primarily in Korea, Japan, and the Philippines. He has Masters of Military Arts and Science degrees from the US Army Command and General Staff College and the School of Advanced Military Studies and a Master of Science degree in National Security Studies from the National War College of the National Defense University. He is also a pursuing a Doctorate of Liberal Studies degree at Georgetown and teaches Unconventional Warfare and Special Operations for Policy Makers and Strategists in the Security Studies Program. He and his family reside in Northern Virginia.

End Notes

[13] Five SOF Truths were authorized by COL(RET) John Collins in 1987.  Today they can be found on the USSOCOM web site: http://www.socom.mil/Pages/SOFTruths.aspx

Truth 1: Humans are more important than hardware.

People – not equipment – make the critical difference. The right people, highly trained and working as a team, will accomplish the mission with the equipment available. On the other hand, the best equipment in the world cannot compensate for a lack of the right people.

Truth 2: Quality is better than quantity.

A small number of people, carefully selected, well trained, and well led, are preferable to larger numbers of troops, some of whom may not be up to the task.

Truth 3: Special Operations Forces cannot be mass produced.

It takes years to train operational units to the level of proficiency needed to accomplish difficult and specialized SOF missions. Intense training – both in SOF schools and units – is required to integrate competent individuals into fully capable units. This process cannot be hastened without degrading ultimate capability.

Truth 4: Competent Special Operations Forces cannot be created after emergencies occur.

Creation of competent, fully mission capable units takes time. Employment of fully capable special operations capability on short notice requires highly trained and constantly available SOF units in peacetime.

Truth 5: Most special operations require non-SOF assistance.

The operational effectiveness of our deployed forces cannot be, and never has been, achieved without being enabled by our joint service partners. The support Air Force, Army, Marine and Navy engineers, technicians, intelligence analysts, and the numerous other professions that contribute to SOF, have substantially increased our capabilities and effectiveness throughout the world.



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IBM P2020-079 Exam (IBM Initiate Master Data Service Support Mastery Test v1) Detailed Information



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