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A2040-406 - Assessment: IBM Notes and Domino 9.0 Social Edition System Administration - Dump Information

Vendor : IBM
Exam Code : A2040-406
Exam Name : Assessment: IBM Notes and Domino 9.0 Social Edition System Administration
Questions and Answers : 114 Q & A
Updated On : November 15, 2018
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A2040-406 Questions and Answers

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A2040-406 Assessment: IBM Notes and Domino 9.0 Social Edition System Administration

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A2040-406 exam Dumps Source : Assessment: IBM Notes and Domino 9.0 Social Edition System Administration

Test Code : A2040-406
Test Name : Assessment: IBM Notes and Domino 9.0 Social Edition System Administration
Vendor Name : IBM
Q&A : 114 Real Questions

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IBM Assessment: IBM Notes and

No, IBM didn't Overpay For red Hat | killexams.com Real Questions and Pass4sure dumps

No effect discovered, are attempting new key phrase!In 1995, IBM paid the unheard of rate of $three.5 billion for Lotus, primarily for its collaboration application notes. these days, IBM Domino/Notes has over 30 million clients and has simply launched its most ...

proper organizations Owned by means of IBM | killexams.com Real Questions and Pass4sure dumps

laptop brand IBM (IBM) introduced in late October that it might acquire open supply application and cloud functions company red Hat for $34 billion. Per the terms of the acquisition, purple Hat will keep a degree of autonomy as a separate business unit within the larger IBM umbrella. This capability that red Hat's partnerships and current open supply initiatives are prone to proceed for the foreseeable future. in this feel, the acquisition will also be considered as a win-win for each organizations: purple Hat got a considerable sum of money and entry to scaling while not having to hand over its interesting strategy, desires, crew, and subculture, whereas IBM notched an striking feather in its cap and persevered its growth into the cloud.

this is now not the primary time that IBM has got an organization. under, we will take a look at probably the most other groups the computing device maker has bought.

Transarc corporation

In 1994, IBM purchased Pennsylvania-based mostly utility outfit Transarc service provider, a 5-yr-ancient company which had popularized diverse file device application. among different items, Transarc developed a disbursed transaction processing video display known as Encina; IBM utilized this product to increase its personal UNIX-based mostly products afterward.

Lotus software

The maker of the prevalent Lotus 1-2-3 spreadsheet software, one of the first user-friendly and available applications within the earliest days of IBM personal computers, Lotus utility changed into purchased with the aid of IBM in 1995 for the price of $three.5 billion. a major impetus for the acquisition become Lotus Notes, a popular utility Lotus had developed previous to the purchase. IBM also bought the business as a method of having access to the customer-server computing world, which threatened to make host-based mostly application a element of the past.

Rational Machines

In 2003, IBM purchased and rebranded Rational Machines for the rate of $2.1 billion. Rational provided an built-in building atmosphere designed to raise productiveness in construction crew settings. IBM chose to purchase the company after the dot-com bubble burst and when Rational had declined in price (besides the fact that children the business became still particularly ecocnomic on the time).

Cognos

IBM buyers and valued clientele will probably have encountered the enterprise's line of business intelligence and performance administration tools branded as Cognos products. The name of these products is tied to a company of the identical name that the laptop maker received in 2007 for $4.9 billion. The deal was seen as a massive step toward IBM becoming a correct-level competitor of groups like Microsoft, with an intensive latitude of each hardware and utility products.

Cleversafe

one of IBM's most recent acquisitions is Cleversafe. IBM bought Cleversafe on November 6, 2015. The enterprise developed an object storage gadget which turned into at the beginning known as Dispersed Storage network however which has been rebranded submit-acquisition because the IBM Cloud Object Storage provider. This acquisition become a different essential step in IBM's circulation toward cloud features.


IBM Watson: The interior story of how the Jeopardy-winning supercomputer became born, and what it wants to do subsequent | killexams.com Real Questions and Pass4sure dumps

IBM Watson wowed the tech trade and a corner of U.S. pop way of life with its 2011 win in opposition t two of Jeopardy's most desirable champions. here's how IBM pulled it off and a glance at what Watson's real career goes to be.

Between them, they'd racked up over $5 million in winnings on the tv quiz exhibit Jeopardy. They have been the most effective gamers the display had produced over its many years-lengthy lifetime: Ken Jennings had the longest unbeaten run at seventy four winning appearances, while Brad Rutter had earned the biggest prize pot with a complete of $three.25 million.

Rutter and Jennings have been Jeopardy-winning machines. And in early 2011, they agreed to an exhibition in shape towards an opponent who'd certainly not even stood in the back of a Jeopardy podium before.

however this Jeopardy unknown had spent years making ready to tackle both giants within the $1m fit, playing 100 games towards previous winners with a purpose to enrich his possibilities of successful.

That opponent failed to smile, offered all his solutions in the identical emotionless tone, and would not sit down within the identical room as his fellow contestants. He needed to work too hard at holding his cool and turned into so noisy, it turned into notion he turned into too disruptive to take the rostrum in grownup. He changed into stored in a back room, his solutions piped into the studio.

You would not comprehend by using him what he became thinking - perhaps you'll spot just a tinge of color when he changed into confusing over a particularly challenging question.

The contender began out with a run of successful solutions - he knew his Beatles songs, Olympic historical past, literary criminals. bound, he wasn't too universal together with his Harry Potter, but he stretched out a lead on the other hand, leaving Rutter and Jennings trailing heaps of dollars in the back of.

however questions about a long time tripped him up, and Rutter fought back, piling up sufficient cash to unsettle anyone who'd guess on the result of the suit. by using the conclusion of the primary of the particular exhibition healthy suggests, you would were hard pushed to determine which became safest with your funds.

but then Double Jeopardy happened. The upstart powered during the big questions, winning even with guesses he become removed from satisfied about, and putting peculiar bets that came decent.

by way of the conclusion of the second episode, the unknown had $25,000 greater than his closest opponent, Rutter. Rutter and Jennings seemed more and more uncomfortable because 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 computing device overlords" Ken Jennings' response to losing to an exhibition Jeopardy healthy to Watson

Jennings managed a late fightback in the third episode, however the new opponent steadily clawed back sufficient money to make it an in depth run.

All three appropriately answered the final question 'William Wilkinson's 'An account of the principalities of Wallachia and Moldavia' impressed this creator's most famous novel' with 'who is Bram Stoker?' however Jennings appended his response with: "I for one welcome our new computer overlords".

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

Watson, which include ten racks of ten vigor 750 servers, needed to be kept other than the human contestants on account of the roar of its cooling device and changed into represented on the podium by using an avatar of IBM's Smarter Planet emblem, whose moving strains would go eco-friendly when Watson had cracked a thorny issue, orange when the answer was wrong.

whereas Watson had the questions delivered in textual content in place of via being attentive to the quizmaster, he performed the game like his human counterparts: puzzle over the question, buzz in, provide the answer it is undoubtedly to be correct, tot up some prize money.

And Watson become right loads of the time. He received the game with $seventy seven,147 leaving Rutter and Jennings in the filth with $21,600 and $24,000 respectively.

It became out that the precise Jeopardy profitable computer changed into, neatly, a laptop.

Three nights, two americans, one laptop and $1 million: the victory of IBM's Watson over two human contestants on Jeopardy turned into the first, and possibly only, time the desktop impressed itself on the prevalent public's recognition.

watson-jeopardy

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

picture: IBM

but even before Watson secured its now-famous win, IBM was engaged on the way to flip the lovable quiz exhibit-dominating desktop into a serious business contender.

Watson begun lifestyles 5 years earlier than its tv appearance, when IBM research professionals were searching for the subsequent "Grand challenge" for the enterprise. IBM periodically runs these Grand Challenges, chosen projects that pit man in opposition t computing device, have foreign enchantment, are effortless to grasp and attract individuals into working in science and maths fields. together with Watson, the Grand Challenges have spawned Deep Blue, the machine that famously beat grand grasp Garry Kasparov at chess, and the Blue Gene supercomputer.

in the mid-2000s, IBM become on the lookout for its subsequent Grand problem. Paul Horn, then director of IBM research, became in favour of making an attempt to improve a computing device that might win the Turing verify, a way to measure laptop intelligence by means of having a equipment try and fool a human into thinking that they're having a conversation with an additional adult.

As challenging as passing the Turing verify is - no machine has yet achieved it - it became felt that it would not perhaps easy up the general public's imagination as different initiatives had. however have been there any linked challenges that could still bring these elements of competing against people and figuring out human speech together?

"They at the start spoke of no, or not it's a foolish assignment to work on, it's too gimmicky, it be not a true desktop science examine, and we probably cannot do it anyway" IBM researchers' first take on constructing a computer that could win Jeopardy

"Beating a human in Jeopardy is a step in that path - the questions are advanced and nuanced, and it takes a special type of laptop to have an opportunity of beating a human by using answering these category of questions. i used to be running the research division and i was bugging americans within the employer, in selected [former EVP in IBM's software group] Charles Lickel," Horn said.

Lickel changed into impressed to tackle the problem of building a Jeopardy-profitable computing device after having dinner with his crew. "We were at a steak apartment in Fishtail, big apple. in the center of dinner, unexpectedly the whole restaurant cleared out to the bar - I became to my team and requested 'what's happening?'. It was very ordinary. I hadn't basically been following Jeopardy, however it became out it was when Ken Jennings become having his long successful streak, and everybody wanted to discover if he would win once more that night, and they'd long past to the bar to look," Lickel noted. Jennings won as soon as once more that evening, and nonetheless holds the longest unbeaten run on Jeopardy with 74 appearances undefeated.

The conception of a quiz champion computing device failed to immediately win his team around, with a lot of Lickel's most beneficial personnel announcing they did not consider a laptop might compete with, not to mention beat, flesh and blood champions.

"They at first spoke of no, or not it's a foolish venture to work on, or not it's too gimmicky, it be now not a true desktop science check, and we likely can not do it anyway," noted Horn.

having said that, a group sufficiently adventuresome to take on the problem of building a Jeopardy winner became discovered.

It changed into nonetheless a small undertaking and techniques of commercialisation weren't uppermost in any one's mind - Grand Challenges were demonstration tasks, whose return for the business changed into extra in the buzz they created than in a contribution to the base line. If commercialisation came about, brilliant - however for now, Watson was simply a bit of a moonshot for IBM.

due to the initial measurement of the effort, it was funded from the research neighborhood's typical price range and didn't require signal-off from huge Blue's greater-ups, which means it may operate free of the commercial pressures of most initiatives.

Jeopardy's quirk is that as an alternative of the quizmaster setting questions and contestants presenting the reply, the quizmaster gives the answers, called 'clues' in Jeopardy-speak, to which contestants supply a question. now not simplest would the machine should be capable of produce questions for the feasible clues that might come its manner on Jeopardy, it will need to be able to first pull apart Jeopardy's tricksy clues - figure out what become being requested - before it could even give the correct response.

trebeck-jeopardy

Jeopardy host Alex Trebeck and the IBM group talk about the exhibition fit with Watson.

photo: IBM

For that, IBM developed DeepQA, a massively parallel software architecture that examined herbal language content in both the clues set through Jeopardy and in Watson's personal kept records, along with looking into the structured assistance it holds. The component-based mostly system, developed on a sequence of pluggable components for browsing and weighting information, took about 20 researchers three years to reach a degree where it could handle a quiz reveal performance and are available out searching more advantageous than its human opponents.

First up, DeepQA works out what the query is asking, then works out some possible answers in response to the information it has handy, making a thread for every. every thread makes use of a whole lot of algorithms to look at the facts, looking at elements together with what the assistance says, what classification of tips it is, its reliability, and how doubtless it's to be critical, then creating an individual weighting in line with what Watson has in the past learned about how doubtless they're to be appropriate. It then generated a ranked listing of answers, with facts for each and every of its alternate options.

The guidance that DeepQA would finally be able to query for Jeopardy become 200 million pages of tips, from plenty of sources. all of the information needed to be in the community kept - Watson wasn't allowed to connect with the cyber web during the quiz - and understood, queried and processed at a good clip: in a Jeopardy's case, Watson needed to spit out an answers in a be counted of seconds to make certain it became first to the buzzer.

"when I left IBM in conclusion of 2007, Watson changed into an embryonic task," said Horn. "It had three individuals in Charles Lickel's area that bought the facts from the historical Jeopardy programmes and were beginning to educate the laptop. It could barely beat a 5 12 months old at the moment. The projection was 'god is aware of how long it might take to beat an grownup, let alone a grand champion'. Then over time when it seemed like they all started to have a chance, Dave beneath the leadership of John Kelly grew the challenge into anything titanic," stated Horn.

whereas there may be nevertheless debate over exactly when the conception of making Watson pay its method eventually took form at IBM, when Watson took to the stage for its Jeopardy-successful efficiency, the show featured IBM pros speaking about viable uses for the device in healthcare, and strikes to establish a Watson enterprise unit started now not lengthy after the Jeopardy show aired.

IBM's then-CEO Sam Palmisano and its existing CEO Ginni Rometty, beneath whose remit Watson fell at the time, began discussions in the weeks after the win, and the venture became moved from under the wing of IBM research and into the IBM software group.

In August of 2011, the Watson company unit appropriate got here into being, headed up by using Manoj Saxena, who'd joined IBM some years past when the business he labored for, Webify, become received through IBM.

Saxena changed into the unit's worker number 1. within three months, he had been joined by way of 107 new Watson staffers, commonly technologists in the fields of natural language processing and machine researching.

Healthcare had already been suggested because the first trade Watson should still goal for business choices, but there have been no plans to restrict it simply to medication. Any tips-intensive business was fair game, anyplace have been there have been big volumes of unstructured and semi-structured data that Watson could ingest, remember and technique sooner than its human counterparts. Healthcare should be would becould very well be a place to begin, however banking, insurance, and telecoms had been all in the firing line.

but how do you flip a quiz display winner into whatever thing extra enterprise-like? First job for the Watson crew was to get to grips with the machine they'd inherited from IBM research, be aware the forty one separate subsystems that went into Watson, and determine what crucial to be fastened up before Watson may placed on its go well with and tie.

in the Watson unit's first year, the gadget obtained sped up and slimmed down. "We serialised the threads and the way the application worked and drove up the efficiency," Saxena said. "The gadget these days compared to the Jeopardy system is about 240 p.c faster and it is one-sixteenth the dimension. The device that became the measurement of a master bedroom will now run in a system the size of the vegetable drawer on your double-drawer fridge."

yet another manner of taking a look at it: a single power 750 server, measuring nine inches excessive, 18 inches wide and 36 inches deep, and weighing in at round one hundred kilos. Having received the device to a extra manageable dimension for companies, it set about discovering valued clientele to take it on.

IBM had healthcare pegged as its first vertical for Watson from the time of the Jeopardy win. despite the fact, while Jeopardy Watson and healthcare Watson share a typical heritage, they are distinct entities: IBM forked the Watson code for its commercial incarnation.

"The system that become the measurement of a master bed room will now run in a gadget the size of the vegetable drawer for your double-drawer fridge" Watson VP Manoj Saxena on the shrinking Watson

Jeopardy Watson had one project - get a solution, understand it, and discover the query that went with it. It become a single user equipment - had three quizmasters put three solutions to it, it might have thrown the desktop into a spin. Watson needed to be retooled for a state of affairs where tens, a whole bunch, although many, clinicians could be asking questions at once, and not single questions both - advanced conversation with several connected queries one after the other, all asked in non-common codecs. And, of path, there changed into the English language itself with all its messy complexity.

"there were primary areas of innovation that needed to be finished to head beyond Jeopardy - there became a massive quantity of pre-processing, post-processing and tooling that we have introduced across the core engines," delivered Saxena. "it be the equivalent of getting a Ferrari engine then making an attempt to construct an entire race motor vehicle round it. What we inherited changed into the core engine, and we mentioned 'ok, let's construct a brand new issue that does all type of issues the fashioned Jeopardy device wasn't required to do'."

To get Watson from Jeopardy to oncology, there were three procedures that the Watson team went through: content material adaptation, training adaptation, and functional adaptation - or, to position it one other approach, feeding it clinical counsel and having it weighted correctly; testing it out with some practice questions; then making any technical changes needed - tweaking taxonomies, as an instance.

The content material adaptation for healthcare adopted the identical direction as getting Watson as much as pace for the quiz reveal: feed it tips, exhibit it what correct seems like, then let it guess what right seems like and correct it if it be incorrect. In Jeopardy, that meant feeding it with thousands of question and reply pairs from the show, and then demonstrating what a correct response looked like. Then it changed into given simply the answers, and asked to get a hold of the questions. When it went wrong, it was corrected. through laptop getting to know, it might begin to get a tackle on this reply-query element, and modify its algorithms hence.

watson-on-phone

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

"it might be fed many circumstances where the background turned into standard and appropriate remedy became ordinary, after which, analogous to practicing for Jeopardy, it be been given cases and then it suggests cures," Kohn spoke of.

Some data got here from what IBM describes as a Jeopardy-like game called medical professional's predicament, whose questions include 'the syndrome characterized via joint pain, abdominal pain, palpable purpura, and a nephritic sediment?'. (The answer, of direction, is Henoch-Schönlein purpura.)

The training, says Kohn, "is an ongoing method, and Watson is abruptly improving its capability to make low cost options the oncologists feel are useful."

by 2012, there have been two healthcare establishments that had begun piloting Watson.

Wellpoint, one of the vital US largest insurers, was one of the pair of corporations that helped define the application of Watson in health. The other was Memorial Sloan-Kettering cancer middle (MSKCC), an business enterprise IBM already had a relationship with and which is located not removed from both IBM's personal Armonk headquarters and the research laboratories in York Heights, ny that nevertheless condo the primary Watson.

And it was this relationship that helped spur Watson's first commercial move into working in the field of cancer healing procedures. while the usage of Watson as a prognosis device may be its most evident utility in healthcare, the usage of it to aid in choosing the proper therapy for a melanoma patient made even more feel. MSKCC changed into a tertiary referral centre - by the point patients arrived, they already had their diagnosis.

So Watson turned into destined first to be an oncologist's assistant, digesting reams of facts - MSKCC's own, medical journals, articles, patients notes and greater - along with patients' preferences to get a hold of assistance for remedy options. every could be weighted for this reason, depending on how vital Watson calculated they were.

not like its Jeopardy counterpart, healthcare Watson additionally has the ability to go browsing - not all its facts has to be kept. And whereas Watson had two million pages of medical records from 600,000 sources to swallow, it could still make use of the regular capabilities garnered for Jeopardy - particulars from Wikipedia, for example. (What it doesn't use, youngsters, is the urban Dictionary. Fed into Watson late last 12 months, it turned into reportedly eliminated after answering a researcher's question with the word "bullshit". "We did discover some entertaining responses, so we needed to shut that down," Saxena stated diplomatically. "That is not to be repeated, since it would be considered as very unsuitable in certain instances, and we needed to train Watson the correct business behaviour.")

watson-info-box

This chart, carried out a 12 months after Watson's Jeopardy win, shows some of its speedy progress.

photograph: IBM

As such, the sources are actually medical publications like Nature and the British scientific Journal. And there are different protection nets too.

"in the teaching part, a physician - a cancer care professional during this case - sits down and asks questions of Watson and corrects the laptop studying. The doctor and a knowledge scientist are sitting next to each different, correcting Watson. Spurious material, or conflicted cloth or something from a pharmaceutical enterprise that the doctor feels may well be biased - it's caught all over the practising cycle," brought Saxena.

WellPoint and MSKCC used Watson as the groundwork for programs that may examine and bear in mind volumes of medical literature and different tips - sufferers' treatment and family unit histories, as an instance, as well as clinical trials and articles in medical journals - to help oncologists by means of recommending lessons of medication.

A year of working with both organisations has produced business items: Interactive Care Insights for Oncology, and the WellPoint Interactive Care ebook and Interactive Care Reviewer. Interactive Care Insights for Oncology offers counsel for medicine plans for lung melanoma patients, while New WellPoint Interactive Care book and Interactive Care Reviewer stories clinicians' suggested cures towards their patients' plans and is expected to be in use at 1,600 healthcare providers this yr.

Watson has greater ambitions than a clinician's assistant, besides the fact that children. Its scientific expertise is round that of a first yr clinical student, in line with IBM, and the enterprise hopes to have Watson move the universal medical licensing board checks within the not too far away future.

"Our work these days is in the very early stages around observe of drugs, round persistent care illnesses. We're starting with melanoma and we are able to soon add diabetes, cardiology, intellectual fitness, other persistent illnesses. and then our work is on the fee facet, the place we're streamlining the authorisation and approval process between hospitals, clinics and assurance groups," Saxena spoke of.

The highest quality purpose for Watson is to be an assist to prognosis - instead of simply suggesting cures for melanoma, as it does these days, it could aid doctors in making a choice on the diseases that convey individuals to the clinics within the first place.

earlier than then, there is figure to be carried out. whereas massive records companies often trumpet the increase of unstructured facts and the forsaking of relational databases, for Watson, it's these older sources of data that latest extra of an issue.

"Watson works certainly with natural language - free text or textual content-like assistance - and that is the reason approximately eighty % of the big volumes of healthcare counsel accessible to us," noted Kohn. "Then there's the 20 percent it really is structured information - in fact, numerical records - or pictures, like MRIs, CAT scans, etc. Watson doesn't method structured statistics at once and it would not interpret pictures. it might interpret the document attached to a picture, but now not the image itself."

in addition, IBM is working on creating a broader healthcare providing so that it will take it beyond its oncology roots.

"although Watson is working with these two organisations, what the designers and computing device scientists are specializing in [is] that anything they increase is generalisable, or not it's no longer simply niche for melanoma remedy and especially for the several cancers we're working with. We're the use of it as a gaining knowledge of procedure to create algorithms and methodologies that would be without difficulty generalisable to any enviornment of healthcare. They will not have to need to say, appropriate, we've oncology below manage, now let's birth again with family practice or cardiology," Kohn referred to.

ibm-citiback-ebrain

Citi and IBM were taking part on company systems due to the fact that the days of the early mainframes.

image: IBM

Watson has also already found some interest in banking. Citi is the use of Watson to enhance client experience with the financial institution and create new features. it be convenient to peer how Watson can be put to make use of, say, figuring out no matter if a borderline-chance business consumer is probably going to repay the loan they've utilized for, or used to decide upon circumstances of fraud or identification theft before valued clientele may well be conscious they're going on.

Citi remains early in its Watson experiments. A spokeswoman referred to the company is at present just "exploring use situations".

From here on in, in place of being standalone items, the next Watson offerings to hit the market will be embedded into products within the IBM Smarter Planet product line. they're anticipated to appear in the 2nd half of the 12 months.

the first such Smarter Planet product seemed in may additionally: IBM Engagement guide. The thought behind the Engagement marketing consultant, geared toward contact centres, is that client service agents can question their employers' databases and other tips sources the usage of natural language while they may be conducting helpline conversations with their valued clientele. one of the crucial companies testing out the provider is Australia's ANZ bank, the place it will be aiding name centre team of workers with making monetary capabilities concepts to individuals who ring up.

watson-question-phone

Ask Watson goes far beyond what Apple's Siri can do, IBM believes.

image: IBM

Watson could most likely at some point scour purchasable proof for the top of the line time to locate somebody capable of talk and judge the verbal exchange channel obviously to generate a good response, or pore over social media for disgruntled purchasers and supply solutions to their issues in natural language.

There are additionally plans to exchange how Watson's delivered, too. in its place of simply interacting with it by means of a call centre worker, valued clientele will quickly be capable of familiarize yourself with the Engagement guide. instead of have some call centre agent read out Watson generated assistance to a customer with, say, a fault with their new washing machine or a stock-dealer wanting information on updating their portfolio, the customer and trader could simply quiz Watson without delay from their cellphone or pill, by typing their query straight right into a business' app. Apps with Watson beneath the hood may still be out within the latter half of this year, in accordance with Forbes.

IBM professionals have additionally previously recommended that Watson could grow to be a supercharged version of Siri, the place individuals can be able to communicate without delay into their mobilephone and pose a fancy query for Watson to answer - a farmer maintaining up his smartphone to take video of his fields, and asking Watson when to plant corn, as an example.

IBM is eager to spell out the differences between Watson and Siri. "Watson is aware of what it is aware of - and by way of listening, learning and the usage of human-like pondering capabilities uncovers insights from big records, Watson also right now ascertains what it doesn't understand. Siri, nevertheless, easily appears for keywords to go looking the web for lists of alternate options that it chooses one from," the company says. but, the comparison holds: Watson could definitely have a future as your infinitely knowledgeable personal assistant.

while adding voice-awareness capabilities to Watson should be no amazing shakes for IBM given its existing partnerships, this type of circulation would require Watson to be capable of recognize pictures (whatever thing IBM's already engaged on) that would require Watson to query all forms of sources of counsel together with newspapers, books, pictures, repositories of records which have been made publicly obtainable, social media and the information superhighway at colossal. That Watson may still take on such a role in the coming years, exceptionally if the processing goes on in an IBM datacentre and not on the mobile itself, as you would predict, is certainly within the nation-states of the viable.

As IBM seeks to embed Watson's capabilities into further and further items, how far does the enterprise think Watson will unfold in the coming years? it's going to handiest say gnomically, "as we continue to scale our capabilities, we have the desire to make Watson attainable as a set of features in lots of industries." desire a higher answer? stronger ask Watson.

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A2040-406 Assessment: IBM Notes and Domino 9.0 Social Edition System Administration

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Assessment: IBM Notes and Domino 9.0 Social Edition System Administration

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KMWorld Trend-Setting Products of 2012 | killexams.com real questions and Pass4sure dumps

Sep 1, 2012

Hugh McKellar

This marks the tenth anniversary of our Trend-Setting Products list, and as in years past, it has been assembled through consultation and collaboration with editorial colleagues, analysts, system integrators and a select group of users. We conscientiously compile the list to serve KMWorld's core constituency, our readers, and focus completely on elegant, workable, sustainable business value. We disregard the gimmicky software that might feature a clever idea but has only ephemeral importance. And although a number of the products listed here are especially well-suited, if not specifically designed, for particular vertical markets, we selected those whose benefits can be realized in our readers' widely diverse environments.

The judging process is a collaborative effort that takes many months. This year more than 700 products/product families were whittled down to the 89 listed in these pages. Each company whose products are listed below helped to define and enhance a market critically important to our readership by listening to and working with customers. They all represent a commitment to innovation and their customers.

We encourage readers to send your thoughts and suggestions to the judging panel at judging@kmworld.com.

5280 Solutions: Dynamic Payables—Web-based invoice automation solution for SharePoint.

A9, an Amazon company: Amazon CloudSearch—cloud service allowing customers to integrate scalable search into applications.

Abbyy USA: FlexiCapture 10—data capture and document processing software for turning hard-copy forms and documents into business-ready data.

Accellion, Inc.: Accellion Mobile Apps-secure, enterprise—class mobile file sharing solutions. Click here for more product details.

Access Innovations: Data Harmony 3.8—software tools for metadata management, including automatic indexing and taxonomies. Click here for more product details.

Accusoft: Prizm Content Connect—customizable, scalable content viewer. Click here for more product details.

Acquia: Dev Desktop—package that installs Acquia Drupal on Windows and Mac OS X.

Acrolinx: Acrolinx IQ—natural language processing engine enabling creation of search-ready content.

Alfresco: Alfresco in the Cloud—allows users to collaborate and share files both inside and outside the organization securely on any device.

Altep: Inspicio—legal electronic document review platform with integrated concept searching, clustering and categorization. Click here for more product details.

AnyDoc Software: CAPTUREit—standalone document capture application and part of either end-to-end OCR or AnyDoc automated document and data capture. Click here for more product details.

Appian: Appian BPM Suite—mobile, cloud and social process improvement.

ASG Software Solutions: ASG CloudFactory—comprehensive cloud management. Click here for more product details.

Attensity: Attensity Pipeline—real-time, semantically annotated social media data stream for large organizations.

Attivio: Active Intelligence Engine 3.0—accessible, standards-based unified information access platform.

Autonomy: IDOL 10—a single processing layer for audio, video, social media, e-mail, Web content and structured data.

AvePoint: DocAve Content Shield for SharePoint—automating enforcement of information governance policies for tagging and classifying content. Click here for more product details.

BA Insight: Longitude Enterprise Search for SharePoint and FAST—integrated SharePoint solution that provides full previews of search result content regardless of type or location.

Bamboo Solutions: Web Parts and Tools—portfolio to accelerate portal deployment and facilitate adoption and continued usage. Click here for more product details.

Birst: Birst Enterprise Edition—self-service business intelligence.

BP Logix: Process Director Cloud Edition—business intelligence to help users anticipate and predict potential problems in business processes.

Bridgeline Digital: iAPPS Content Manager V. 4.7—Web experience management with internationalization capabilities for e-commerce. Click here for more product details.

Citrix: XenDesktop—desktop virtualization for on-demand service on any device.

Clarabridge: Clarabridge Enterprise—voice of the customer platform for data acquisition with linguistic processing and enterprise reporting.

Colligo Networks: Colligo Desktop for SharePoint—document, e-mail and records management solution.

Comperio Search: Comperio Front—business logic software for search solutions. Click here for more product details.

Concept Searching: Smart Content Framework—software to identify and tag content with semantic metadata and then classify it to organizational taxonomies.

Connotate: Agent Community—software and services provide an interface for highly accurate data collection.

Consona, which recently merged with CDC Software to form Aptean: CRM Suite—knowledge management, enterprise customer relationship management, e-service and network management software.

Content Analyst: Content Analyst Analytical Technology (CAAT) V. 3.11—deep analytics for unstructured data applications, including legal document review.

Coveo: Insight Solutions—combining enterprise search and knowledge management with extensive industry expertise and best practices.

Digital Reef: Digital Reef eDiscovery—enterprise-scale e-discovery platform for managing legal matters, regulatory inquiries and corporate investigations.

Discover Technologies: DiscoverPoint—automated expertise location for enterprises with large workforces.

eGain: eGain 10—complete suite of customer service and contact center software to help organizations transform their traditional call centers into multichannel customer interaction hubs. Click here for more product details.

Ektron: Ektron 8.5—.NET Web content management, marketing optimization, social community and e-commerce platform.

EMC: Atmos Cloud Delivery Platform—software used to deliver and manage storage-as-a-service to an Atmos storage cloud.

EntropySoft: Content Hub Platform—content connectors providing a central point of access to all company documents, both on-premise or in the cloud. Click here for more product details.

EXSYS: Corvid—development software allowing non-programmers to easily build interactive Web applications.

Exterro: Fusion Platform—workflow-driven suite including identification, legal hold and early case assessment, collection, processing, analysis, review and production.

Findwise: Hydra—open source content processing framework for search-based applications.

FTI Technology: Ringtail 8.2—a complete e-discovery platform with integrated visual analytics and redesigned interface. Click here for more product details.

HiSoftware: Compliance Sheriff—enterprise compliance automation enabling repeatable and enforceable processes for all types of content governance.

IBM: Content Navigator—allows users to access, manage, work and collaborate with enterprise content directly from mobile devices and tablets.

IGLOO Software: Igloo Platform—integrated suite of content management, collaboration and enterprise social networking tools.

Infotrieve: Mobile Library—fully secure, cloud-based access to enterprise content.

Integrify: Integrify 5.5—robust, lean business process management solution available as both an on-premise solution or hosted service.

IntelliResponse: IntelliResponse Answer Suite—customer experience across a variety of interaction channels, including corporate websites, agent desktops, social media platforms and mobile devices.

IntraFind: iFinder—solutions and consultancy services for enterprise search, information access and text mining.

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Intel Vets Tell Trump Iran Is Not Top Terror Sponsor | killexams.com real questions and Pass4sure dumps

A group of U.S. intelligence veterans urges President Trump to stop his administration’s false claims about Iran being the leading state sponsor of terrorism when U.S. allies, such as Saudi Arabia, are clearly much guiltier.

MEMORANDUM FOR: The President

FROM: Veteran Intelligence Professionals for Sanity

SUBJECT: Is Iran the “World’s Leading Sponsor of Terrorism?”

EXECUTIVE SUMMARY/BACKGROUND 

We are concerned by recent strident and stark public statements from key members of your Administration that paint Iran in very alarmist terms. The average American, without the benefit of history, could easily be persuaded that Iran poses an imminent threat and that there is no alternative for us but military conflict.

President Donald Trump addresses the nation about his Iran policy on Oct. 13, 2017. (Screenshot from Whitehouse.gov)

We find this uncomfortably familiar territory. Ten years ago former President George W. Bush was contemplating a war with Iran when, in November of 2007, intelligence analysts issued a formal National Intelligence Estimate (NIE) debunking the prevailing conventional wisdom; namely, that Iran was on the verge of getting a nuclear weapon.  The NIE concluded that Iran had stopped working on a nuclear weapon in 2003.

Recalling this moment in his memoir, Decision Points, President Bush noted that the NIE’s “eye-popping” intelligence findings stayed his hand.  He added this rhetorical question: “How could I possibly explain using the military to destroy the nuclear facilities of a country the intelligence community said had no active nuclear weapons program?”

We believe that you are facing a similar situation today. But instead of an inaccurate claim that Iran has nuclear weapons, the new canard to justify war with Iran is the claim that Iran remains the “world’s leading state sponsor of terrorism.” This is incorrect, as we explain below.

 * * *

One of the recurring big bipartisan lies being pushed on the public with the enthusiastic help of a largely pliant media is that Iran is the prime sponsor of terrorism in the world today.

In the recent presentation of your administration’s National Security Strategy for 2018, the point is made that:

“Iran, the world’s leading state sponsor of terrorism, has taken advantage of instability to expand its influence through partners and proxies, weapon proliferation, and funding. . . . Iran continues to perpetuate the cycle of violence in the region, causing grievous harm to civilian populations.”

Those sentiments are echoed by several other countries of the Middle East. Saudi Arabia’s Foreign Minister, Adel al-Jubeir, for example, declared in October 2015 that: Iran “is the biggest sponsor of terrorism in the world, and it is working on destabilizing the region.”

The Saudi foreign minister conveniently declined to mention that 15 of the 19 terrorists who hijacked planes and attacked America on 11 September 2001 were Saudis, not Iranians.  And, while Iran was an active promoter of terrorism two decades ago, it is no longer in the forefront of global terrorism. Ironically, that dubious distinction now goes to Iran’s accusers — first and foremost, Saudi Arabia.

The depiction of Iran as “the world’s leading state sponsor of terrorism” is not supported by the facts. While Iran is guilty of having used terrorism as a national policy tool, the Iran of 2017 is not the Iran of 1981. In the early days of the Islamic Republic, Iranian operatives routinely carried out car bombings, kidnappings and assassinations of dissidents and of American citizens. That has not been the case for many years. Despite frequent claims by U.S. officials that Iran is engaged in terrorism, we simply note that the incidents recorded annually in the U.S. Department of State’s Patterns of Global Terrorism rarely identifies a terrorist incident as an act by or on behalf of Iran.

Iran’s relationship with Hezbollah also has evolved radically. In the early years of the Islamic Republic, Hezbollah was often a proxy and sub-contractor for Iran. But during the last 20 years Hezbollah has become an entity and political force in its own right. It fought Israel to a standstill in 2006 in southern Lebanon, which was a watershed moment in establishing Hezbollah’s transformation into a conventional army. In the intervening years, Hezbollah, which is now part of the Lebanese government, also has turned away from the radical, religious driven violence that is the hallmark of the Sunni extremists, like ISIS.

Iran’s Asymmetrical Response

After Iran fell under the rule of the Ayatollah in 1979 terrorism, its role in high profile terrorist attacks, such as the taking of U.S. hostages and the bombings of the U.S. Embassy and the Marine barracks in Lebanon, fed understandable U.S. animosity towards Iran.  But Iran’s actions were not driven primarily by blind hatred or radical religious views.  For Iran terrorism was a way to punch back against more powerful foes, principally the United States, which was providing military and intelligence support to Iran’s neighbor and enemy, Iraq.

Portrait of the late Ruhollah Khomeini by Mohammad Sayyid

The Iranians were also pragmatic and had direct dealings with Israel. During the early days of the Iranian revolution the Mullahs, despite publicly denouncing Israel, happily accepted secret military support from the Israelis. Israel was equally pragmatic. The Israeli leaders ignored the Mullahs and gave the support as a means of helping counter the threat posed by Iraqi President Saddam Hussein. A classic case of the enemy of my enemy is my friend.

The public image of Iran as a hotbed of fanatical terrorists has been usurped since the August 1998 bombings of the U.S. Embassies in east Africa by Al Qaeda and other radical Sunni entities. The U.S. Government’s own list of terrorist attacks since 2001 shows a dramatic drop in the violence carried out by Iran and an accompanying surge in horrific acts by radical Sunni Muslims who are not aligned with Iran.  The latest edition of the Global Terrorism Index, a project of the U.S. Department of Homeland Security, shows that four groups accounted for 74 percent of all fatalities from terrorism in 2015 — Boko Haram, Al-Qaeda, the Taliban and ISIS.

Thirteen of the 14 Muslim Groups identified by the U.S. intelligence community as actively hostile to the US are Sunni, not Shia, and are not supported by Iran:

– ISIS (Sunni)

– The Al-Nusra Front (Sunni)

– Al-Qa’ida Central (Sunni)

– Al-Qa’ida in Magheb (Sunni)

– Al-Qa’ida in Arabian Peninsula (Sunni)

– Boku Haram (Sunni)

– Al-Shabbab (Sunni)

– Khorassan Group (Sunni)

– Society of the Muslim Brothers (Sunni)

– Sayyaf Group in the Philippines (Sunni)

– Taliban in Pakistan and Afghanistan (Sunni)

– Lashgar i Taiba (Sunni)

– Jemaa Islamiya (Sunni)

– Houthis (Shia)

The last major terrorist attack causing casualties that is linked to Iran was the July 2012 bombing of a bus with Israeli tourists in Bulgaria. That departure from Iran’s more recent policy on terrorism was retaliation for what Iran perceived to be Israel’s role in assassinating five Iranian scientists involved with Iran’s Nuclear program, between January 2010 and January 2012 (the dates and names of those attacked are appended).

One can easily imagine the outrage and lust for revenge that would sweep the U.S., if Americans believed a foreign country sent operatives into the United States who in turn murdered engineers and scientists working on sensitive U.S. defense projects.

Special Operations

There have been other terrorist attacks inside Iran bearing the handprint of support from the United States. Author Sean Naylor, Relentless Strike, which details the history of operations carried out by U.S. Joint Special Operations Command (JSOC) over the past 30 years, sheds light on this uncomfortable truth:

The late Al-Qaeda leader Osama bin Laden.

“JSOC personnel also worked with the Mujahideen-e-Khalq (MEK), a militant Iranian exile group that had based itself in Iraq after falling afoul of the ayatollahs’ regime in Tehran. The State Department had placed the MEK on its list of designated terrorist organizations, but that didn’t stop JSOC from taking an attitude of “the enemy of my enemy is my friend” toward the group. “They were a group of folks that could transit the border, and they were willing to help us out on what we wanted to do with Iran,” said a special operations officer.”

The MEK were classified as a terrorist group, until the United States decided that as long as the MEK would help kill Iranians rather than Americans, that they were no longer terrorists. The MEK’s history of terrorism is quite clear. Among more than a dozen examples over the last four decades these four are illustrative:

  • During the 1970s, the MEK killed U.S. military personnel and U.S. civilians working on defense projects in Tehran and supported the takeover in 1979 of the U.S. Embassy in Tehran.
  • In 1981, the MEK detonated bombs in the head office of the Islamic Republic Party and the Premier’s office, killing some 70 high-ranking Iranian officials, including Iran’s President, Premier, and Chief Justice.
  • In April 1992, the MEK conducted near-simultaneous attacks on Iranian embassies and installations in 13 countries, demonstrating the group’s ability to mount large-scale operations overseas.
  • In April 1999, the MEK targeted key military officers and assassinated the deputy chief of the Iranian Armed Forces General Staff.
  • Despite this history, a bipartisan parade of prominent U.S. political and military leaders has lobbied on behalf of MEK and has been well compensated in return.

    Benighted Policy So Far

    In the ultimate ironic turn, the U.S.-led 2003 war in Iraq played a critical role in Iran’s resurgence as a regional power. Saddam Hussein was replaced by Shia muslims who had received sanctuary in Iran for many years and Baathist institutions, including the Army, were taken over by Iraqis sympathetic to Tehran.

    Iran has come out ahead in Iraq and, with the 2015 nuclear agreement in place, Iran’s commercial and other ties have improved with key NATO allies and the other major world players—Russia and China in particular.

    Official pronouncements on critical national security matters need to be based on facts. Hyperbole in describing Iran’s terrorist activities can be counterproductive. For this reason, we call attention to Ambassador Nikki Haley’s recent statement that it is hard to find a “terrorist group in the Middle East that does not have Iran’s fingerprints all over it.” The truth is quite different. The majority of terrorist groups in the region are neither creatures nor puppets of Iran. ISIS, Al-Qaeda and Al-Nusra are three of the more prominent that come to mind.

    You have presented yourself as someone willing to speak hard truths in the face of establishment pressure and not to accept the status quo. You spoke out during the campaign against the 2003 U.S. invasion of Iraq as a historic mistake of epic proportions. You also correctly captured the mood of many Americans fatigued from constant war in far away lands. Yet the torrent of warnings from Washington about the dangers supposedly posed by Iran and the need to confront them are being widely perceived as steps toward reversing your pledge not to get embroiled in new wars.

    We encourage you to reflect on the warning we raised with President George W. Bush almost 15 years ago, at a similar historic juncture:

    “after watching Secretary Powell today, we are convinced that you would be well served if you widened the discussion … beyond the circle of those advisers clearly bent on a war for which we see no compelling reason and from which we believe the unintended consequences are likely to be catastrophic.”

    Iran’s President Hassan Rouhani celebrates the completion of an interim deal on Iran’s nuclear program on Nov. 24, 2013, by kissing the head of the daughter of an assassinated Iranian nuclear engineer. (Iranian government photo)

    APPENDIX

    LIST OF IRANIAN SCIENTISTS ASSASSINATED IN IRAN

    January 12, 2010: Masoud Alimohammadi, Iranian Physicist:

    Killed by a car bomb.  The perpetrator reportedly confessed to having been recruited by Israeli intelligence to carry out the assassination.

    November 29, 2010: Majid Shahriari, Iranian nuclear scientist:

    Killed by a car bomb.  According to German media, Israel was the sponsor.

    November 29, 2010: Assassination attempt on Fereydoon Abbasi Iranian nuclear scientist:

    Wounded by a car bomb.

    July 23, 2011: Darioush Rezaeinejad, Iranian electrical engineer, unclear scientist

    Killed by unknown gunmen on motorcycle.  Specialist on high-voltage switches — a key component of nuclear warheads.  Assassinated by Israeli intelligence, according to the German press.

    January 11, 2012: Mostafa Ahmadi-Roshan, Iranian nuclear scientist

    Killed at Natanz uranium enrichment facility by a magnetic bomb of the same kind used in earlier assassinations of Iranian scientists.

    ________________________

    Signed:

    Richard Beske, CIA, Operations Officer (ret.)

    William Binney, former NSA Technical Director for World Geopolitical & Military Analysis; Co-founder of NSA’s Signals Intelligence Automation Research Center

    Marshall Carter-Tripp, Foreign Service Officer (ret.) and Division Director, State Department Bureau of Intelligence and Research

    Bogdan Dzakovic, Former Team Leader of Federal Air Marshals and Red Team, FAA Security, (ret.) (associate VIPS)

    Philip Giraldi, CIA, Operations Officer (ret.)

    Larry C. Johnson, former CIA and State Department Counter Terrorism officer

    Michael S. Kearns, Captain, USAF (Ret.); ex-Master SERE Instructor for Strategic Reconnaissance Operations (NSA/DIA) and Special Mission Units (JSOC)

    John Kiriakou, Former CIA Counterterrorism Officer and former senior investigator, Senate Foreign Relations Committee

    Karen Kwiatkowski, former Lt. Col., US Air Force (ret.), at Office of Secretary of Defense watching the manufacture of lies on Iraq, 2001-2003

    Edward Loomis, NSA, Cryptologic Computer Scientist (ret.)

    David MacMichael, National Intelligence Council (ret.)

    Ray McGovern, former US Army infantry/intelligence officer & CIA analyst (ret.)

    Elizabeth Murray, Deputy National Intelligence Officer for Near East, CIA and National Intelligence Council (ret.)

    Torin Nelson, former Intelligence Officer/Interrogator (GG-12) HQ, Department of the Army

    Todd E. Pierce, MAJ, US Army Judge Advocate (ret.)

    Coleen Rowley, FBI Special Agent and former Minneapolis Division Legal Counsel (ret.)

    Greg Thielmann — Former director of the Strategic, Proliferation, and Military Affairs Office of the State Department’s intelligence bureau (INR) and former senior staffer on the Senate Intelligence Committee

    Kirk Wiebe — former Senior Analyst, SIGINT Automation Research Center, NSA

    Lawrence Wilkerson, Colonel (USA, ret.), Distinguished Visiting Professor, College of William and Mary (associate VIPS)

    Sarah G. Wilton, CDR, USNR, (Retired)/DIA, (Retired)

    Robert Wing — former Foreign Service Officer (associate VIPS)

    Ann Wright, Col., US Army (ret.); Foreign Service Officer (who resigned in opposition to the war on Iraq)

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    IBM A2040-406 Exam (Assessment: IBM Notes and Domino 9.0 Social Edition System Administration) Detailed Information



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