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000-041 - Programming with IBM Enterprise PL/I - Dump Information

Vendor : IBM
Exam Code : 000-041
Exam Name : Programming with IBM Enterprise PL/I
Questions and Answers : 188 Q & A
Updated On : November 19, 2018
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000-041 Questions and Answers

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000-041 Programming with IBM Enterprise PL/I

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000-041 exam Dumps Source : Programming with IBM Enterprise PL/I

Test Code : 000-041
Test Name : Programming with IBM Enterprise PL/I
Vendor Name : IBM
Q&A : 188 Real Questions

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IBM Programming with IBM Enterprise

IBM launches blockchain accelerator software for commercial enterprise | killexams.com Real Questions and Pass4sure dumps

IBM Corp. announced these days the launch of the IBM Blockchain Founder Accelerator program to provide opt for enterprise developers bring blockchain networks into production sooner.

The accelerator is the primary application accessible from IBM and will give builders entry to technological support, criminal and business talents in allotted ledger know-how and IBM’s personal blockchain ecosystem.

with a purpose to most useful serve new enterprise ventures into blockchain know-how, the Founder Accelerator application provides one-on-one mentorship and help by community founders and technologists across a variety of capabilities similar to company case building, community membership incentives, technical building, governance and legal considerations.

Blockchains, depended on and cryptographically secured allotted ledgers, have considered use throughout numerous industries together with banking fiscal functions, healthcare and civil executive. every application and industry brings different challenges for a development group to beat together with resolution of the assets to be secured, a way to cozy them and often what felony and regulatory considerations need to be addressed.

“Blockchain is a group game,” mentioned Marie Wieck, established manager of blockchain know-how at IBM. “With the right network of contributors collaborating on the blockchain, the benefits may also be exponential.”

To assist application membership, Wieck delivered that IBM is proactively constructing options and entire blockchain ecosystems designed to function in quite a lot of industries. “we're sharing our abilities and substances to aid more organizations rapidly install their networks,” she spoke of.

Kevin Ellison, chief executive officer of Schedule1 Inc., a developer of sensitive statistics protection options, stated that IBM’s information proved “precious in accelerating the development and delivery of our blockchain-based mostly features.”

Schedule1, as a issuer of protection and privateness options, Ellison defined, needed to navigate the cost and complexity of complying with regulatory requirements such because the eu’s new prevalent information insurance plan legislation. IBM would carry to bear the equal potential used to aid Schedule1 for brand spanking new blockchain ventures worried within the accelerator application.

application participants will benefit entry to agile design “bootcamps” designed to aid builders promptly build, iterate and launch blockchain networks in Design thinking Workshops. Technical and enterprise mentors from IBM analysis group on creating blockchain solutions will additionally aid members in knowing and using IBM Hyperledger textile, which is IBM’s blockchain solution (together with a task hosted via The Linux basis), to gain advantage in blockchain systems.

IBM intends to make its personal expertise attainable to participants, including IBM Blockchain solutions via IBM’s cloud platform Bluemix and Hyperledger. To make this happen, all application individuals will get hold of up to $one hundred twenty,000 price of IBM Cloud credit to permit them to make full use of IBM’s ecosystem of items.

The IBM Cloud capabilities obtainable to software membership include document save, a protection-rich ambiance for document storage; the Provenance Engine, a comprehensive historical past of industry property and transactions with the potential to track asset proprietor, location and standing; the method Engine, a workflow orchestration device on excellent of the blockchain network for tamper-resistant doc upkeep and authorization; and Member administration and Onboarding, id administration of contributors in the blockchain community, including registration and protection roles of member companies and particular person users.

To get the IBM Blockchain Founder Accelerator program up and working, IBM will opt for eight new blockchain community founders by using June 2 throughout various industries such as banking, logistics, manufacturing and retail.

software access is first-come, first-serve and is fee-based mostly with two tiers for contributors. At tier 1 the investment can charge is $100,000 and includes all the opportunities discussed above. The tier 2 the investment cost is $250,000, which additionally comprises a six-week business community construct out with IBM’s Bluemix storage, startup developer accelerator.

purposes for the IBM Blockchain Founder Accelerator program at the moment are accessible earlier than June 2.

photograph: IBM considering the fact that you’re here … … We’d want to let you know about our mission and how that you could assist us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is according to the intrinsic value of the content material, now not promoting. in contrast to many on-line publications, we don’t have a paywall or run banner promoting, as a result of we wish to hold our journalism open, without influence or the should chase site visitors.

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So what exactly is IBM doing different with machine discovering? | killexams.com Real Questions and Pass4sure dumps

photograph: Science Museum London | Sir Ernest Rutherford’s laboratory, early 20th century | creative Commons license

desktop researching itself is not new. The concepts had been around for many years, and a lot of companies were constructing ML fashions and doing predictive analytics for ages. So what precisely is IBM doing in this house?

i need to say “IBM takes an business method to ML”, however that sounds too indistinct. This post details IBM’s commitment to computer learning and how our method goes beyond hype and hand waving to offer the systems, equipment, and approaches our business shoppers want.

i need to focus on three issues:

  • Democratizing computer gaining knowledge of
  • Operationalizing machine researching
  • Hybrid laptop studying with healthy-for-intention deployment options
  • Let’s analyze each and every one.

    Democratizing ML

    One factor of “Democratizing” is increasing the entry to desktop discovering with open supply code, open languages, and open frameworks: languages like Python, Scala, and R; frameworks like Spark and TensorFlow; equipment like Apache Zeppelin™, Jupyter, and RStudio. What about businesses which have been the use of proprietary ML tools? With guide for importing PMML, SPSS and other proprietary environments, we are able to work with current models — proprietary or open supply — during this atmosphere. presenting that range is our method of meeting users the place they're, with the potential they already have. computing device discovering is relocating too speedy to force groups to burn time ramping up on whatever unfamiliar.

    A 2d point of “Democratizing” is decreasing the barrier for americans who don’t have the deep math or records historical past that’s been vital during the past. I wish to be cautious about this. I don’t need to imply that the tools take away the should bear in mind what's occurring (removed from it!), however visual, guided interfaces for constructing and checking out fashions bring a level of productiveness — assuming that you've some basic hold close of the concepts and domain. An illustration is the Auto statistics education alternative (See determine 1), which does a simple stage of function engineering immediately. As a further instance, the Cognitive assistance for records Science (CADS) function selects the top-rated algorithm for you based on the facts set and sophistication of algorithms you are looking to analyze.

    figure 1: Auto facts training for feature engineering

    a third point of “Democratizing” is the capacity to collaborate. statistics science is a group sport, involving information engineers, records scientists, company analysts, utility builders, and other personas within the business. These personas can engage and collaborate, giving your entire crew a collaborative workbench to have in mind statistics sources, share facts exploration in notebooks, statistics units and models — from each visual and programmatic mannequin-building equipment — with access manage and governance in location.

    Operationalizing ML

    because the phrase suggests, here is about taking machine learning from the laptops of the records science crew and weaving it into the exact operations of the business. How do you implement version handle? How are you able to deploy fashions promptly? How can application builders invoke fashions easily? How do you be certain the fashions stay present as time goes by using? Most agencies at present doing ML have faced this problem. a new mannequin that has simply been knowledgeable and evaluated performs brilliant on day one, despite the fact the predictions don't seem to be that excellent after a couple of weeks, and the model has become absolutely useless in a few months. facts patterns have changed, and the mannequin efficiency has degraded. How do you alert stakeholders when the model doesn’t work that smartly anymore? How do you control the project of fresh fashions with new practicing records?

    those are the questions that compelled us to create a framework for managing the total records science lifecycle: ingest, prepare, construct, deploy, monitor, and at all times improve. Integration with GitHub and GitHub enterprise gives the skill to merge and manipulate code types. An built-in self-service catalog offers a “store for information” experience. The capability to set up fashions with a number of clicks; permitting software developers the ease of drinking with a leisure name; etc. are also examples of this lifecycle. Of specific relevance is a comments loop that ensures the predictive efficiency of your fashions stays effective — with out the regular time-sink of babysitting them.

    figure 2: specifying performance metrics for a classification model

    further and further, we were seeing information science groups pulled away from their true work of brainstorming, characteristic engineering, and model design — and as an alternative forced to manage pursuits initiatives that can be automatic. So we automated them.

    Hybrid ML with healthy-for-goal deployment options

    We recognise that for most firms the long run is multi-cloud. A majority of our customers are actually managing records and workloads in numerous environments — on distinct public clouds, behind the firewall in a private cloud, on mainframes, on really expert hardware and home equipment, or spanning these. it is crucial to conform to the principles of statistics gravity (deliver analytics to the facts; are trying to keep away from moving information round) and assembly performance or protection SLAs that definite platforms deliver.

    it may make sense to coach on one platform and installation on a further. for instance, you may need to teach and construct an ML mannequin on an x86 cluster on-premises using sensitive information, and deploy the trained mannequin to an off-premises cloud. (See figures three and 4.)

    determine 3: construct and coach a mannequin on-premises, but submit to cloud figure four: ML mannequin constructed and trained on-premises turns into purchasable on the cloud

    In an identical manner, think you're working on a fancy mannequin for fraud detection. it would make experience to dramatically accelerate training on vigour machines leveraging GPUs and the excessive pace NVLink connections (see https://www.ibm.com/blogs/systems/ibm-power8-cpu-and-nvidia-pascal-gpu-pace-ahead-with-nvlink/), but then you could need to deploy the mannequin right right into a CICS in-transaction call on the mainframe for sub-millisecond scoring of a credit card transaction. These use instances need optimum interoperability and a unified consumer journey throughout diverse environments.

    fit-for-goal ML is a tall order, but definite core ideas practice, including bringing computer studying capabilities native to plenty of platforms and programs. that you can installation your machine studying fashions where it makes probably the most experience, no matter if that’s in the public cloud, behind the firewall, within the optimized IBM integrated Analytics equipment, or on the mainframe, just to name just a few. further, our Kubernetes primarily based ML atmosphere can be stood up on infrastructure from a whole lot of widely wide-spread Cloud carriers, supplying you with the potential to set up to IBM and non-IBM cloud environments and enabling a multi-cloud strategy.

    This keeps purchasers from working against facts gravity: We let them bring the tools, intelligence, and analytics to the statistics instead of forcing them to drag data slowly — and insecurely — from vicinity to place.

    An enterprise Platform for ML

    We brought all these capabilities collectively into data Science experience (DSX), IBM’s business platform for ML.

    in all probability it goes with out asserting, but the strategies and capabilities described above don’t stand by myself. Working with IBM capability the skill to combine with the broader IBM portfolio, which degrees from grasp records management to governance to choice optimization to Watson Explorer to Watson Cognitive APIs to PowerAI and greater. Combining these units of capabilities doesn’t just create incidental efficiencies; together they can in fact transform your corporation. for example use case, Watson photo recognition produces a collection of aspects that feed into downstream custom computing device researching fashions in DSX that predict building energy effectivity. In a 2d use case, integration between resolution Optimization with CPLEX and DSX brings advanced shop body of workers scheduling, going past linear programming to quadratic functions. In a 3rd use case, Watson Speech-to-text and advanced NLP capabilities in Watson Explorer (WEX) integrate with DSX to mix unsupervised and supervised suggestions for figuring out deep intent in customer calls into the name core.

    And additionally..

    we now have integration no longer just with the IBM portfolio but additionally with a wealthy ecosystem of partners like H2O, HortonWorks and many others. as an example, integration with the HortonWorks records Platform allows you to leverage native capabilities including shopping for statistics in the Hadoop cluster and authentication the use of Apache Knox.

    another strength is a steady stream of innovation coming in from IBM analysis, starting from automated characteristic engineering to cognitive databases to dispensed deep learning for scaling acceleration and more.

    however in the middle of all the aspects and equipment that IBM is offering to force information science for the enterprise, it can also be convenient to neglect the deeper intent our shoppers seem to be to IBM in the first region. They appear to IBM because they understand that our many years of real-world journey across every conceivable industry ability we carry an unmatched depth of knowledge about how companies run and what makes them thrive.

    As powerful as desktop learning is, it’s a fantasy to suppose that companies can throw statistics into a black box and get returned actionable consequences. Doing characteristic engineering and constructing models and infusing them into the purposes and strategies of a company wants an intimate abilities of the business and its dynamics — each at the excessive stage of the trade sector and at the low level of transaction move, law, and so forth. That’s what differentiates IBM. Our business-leading strategy to laptop gaining knowledge of is barely the newest manifestation of an extended lifestyle of helping purchasers find the longer term.

    take a look at these capabilities within the statistics Science event providing — both on the cloud at https://datascience.ibm.com or at the back of the firewall with records Science journey local.


    IBM broadcasts business-equipped blockchain functions that go past currency | killexams.com Real Questions and Pass4sure dumps

    reader feedback Share this story
  • IBM Blockchain will be used to try to track carbon allowances in a pilot program in China later this year. enlarge / IBM Blockchain might be used to are attempting to tune carbon allowances in a pilot software in China later this 12 months. old architecture

    On Monday, IBM announced a new version of its enterprise-grade deployment of IBM Blockchain (Blockchain offers companies the capacity to create, run, and display screen disbursed ledgers on IBM’s cloud). The business additionally announced a few commercial applications of IBM Blockchain which are either already in existence or will quickly be deployed with the aid of a wide range of groups, including authentication issuer SecureKey, economic-functions enterprise Northern have faith, and a chinese language carbon-allowance buying and selling company.

    extra analyzing IBM desires to flow blockchain tech beyond Bitcoin and cash transfer The blockchain thought changed into popularized by way of Bitcoin, the digital forex that uses a distributed ledger to track transactions, which may also be demonstrated by means of any member of the community. in the wake of Bitcoin’s recognition, IBM and different enormous organizations across a number of industries started molding blockchain software to apply to applications past changing cash. These functions might consist of tracking shipments across the globe, providing transparency to credit default swaps, or verifying identities across varied banks.

    IBM introduced its industrial blockchain provider ultimate February, and it has been partnering with select corporations to are attempting out blockchain deployments for the past yr. The enterprise certainly paired with Walmart late remaining year to manipulate recollects because the retailer tracked food and drug shipments all over the world.

    IBM has been establishing its product with the assist of the Linux groundwork’s Hyperledger mission, to which IBM committed economic elements as smartly as the work of a couple of dozen researchers and utility engineers. IBM Blockchain is in response to Hyperledger’s open supply textile codebase. in line with an IBM press unencumber, cloth is built for enterprise-stage methods, and it will possibly handle “more than 1,000 transactions per 2d amongst big ecosystems of clients.”

    among the groups making an attempt out IBM blockchain in 2017 is id authentication carrier SecureKey, which plans to run a pilot application involving six Canadian banks. The application will “make it less demanding for consumers to investigate they're who they say they're, in a privacy-stronger, security-prosperous and productive manner.” If a customer desires to open a new telecom, utility, or checking account, that adult can choose in to SecureKey’s feature via a mobile app. If one participating financial institution and credit score company has already demonstrated the client’s id, then the entity developing the new account can decide to rely on the allotted ledger to investigate that the client’s counsel has been tested. The participating banks include BMO, CIBC, Desjardins, RBC, Scotiabank, and TD. together, the banks invested $27 million in SecureKey.

    one more business deploying IBM Blockchain is energy-Blockchain Labs. This Beijing-based company hopes to help different agencies boost and trade carbon allowances as China opens up its cap-and-alternate application later this yr. IBM and energy-Blockchain Labs say that the usage of a disbursed ledger to tune carbon allowances will enrich efficiency in the carbon market and raise its credibility. “Blockchain technology additionally gives transparency and auditability, which aid stakeholders address regulatory necessities,” an announcement said.

    record photograph via old structure


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    Programming with IBM Enterprise PL/I

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    My Oracle Code One 2018 Personal Experience | killexams.com real questions and Pass4sure dumps

    Code One, previously named Java One, is one of the largest conferences for software developers. While it was primarily focused on Java programming, this year it was opened to other languages. The reason for this change became apparent during one of the keynote presentations. Oracle, like Microsoft, IBM, and Amazon, consider cloud services a large part of what they offer to their clients. The cloud is not restricted to Java and so this year neither was the conference.

    The first three years that I attended I participated on several panels. This meant that I got to speak for 5 minutes, showed three slides, and qualified for free admission to the conference that normally costs around $1500. In my fourth year, I submitted two proposals, both related to teaching and NetBeans, that were accepted. This year, I submitted four proposals, of which three were accepted.

    A few years ago, I was advised by Geertjan Wielenga, a product manager for NetBeans and now Oracle Jet, who had invited me to the panels and now a good friend, that there were two approaches to getting a session accepted. The first is to have your session held on the Birds of a Feather or BOF track. These sessions are held in the evening. They are also known as notoriously poorly attended, so far fewer potential speakers submit to this track. The second piece of advice that Geertjan gave me is to have a catchy title.

    With this advice in mind I submitted the following:

    BOF Track:

  • Don’t Answer the Phone During Your Screen Cast!
  • Got a Gig Teaching Java? You Should Be Using Apache NetBeans in the Classroom
  • Let’s Be Honest, There Are More Java Villains Than Java Champions
  • DEV Track (during the day)

  • Running our Robot Overlords with Jakarta EE
  • The session on screencasting was not accepted but the other three were.

    My career that started some 40 years ago in the industry was one in which potential clients would ask me if I could perform a specific coding task. I would pause to consider the request and then assure the potential clients that I could. I once worked for three years coding PL/1 on the IBM PC — despite the fact that I knew nothing about that language when I accepted the gig. You have to pay the bills and I had a young family. It did work out, at least until the client’s parent company went bankrupt.

    As a teacher, and along with my fellow instructors, I have found myself needing to learn new technologies. The decision to take on something new is necessary to provide our students with the knowledge and skills to find employment upon graduation. If there is one constant in software development, it is that there is no constant. This is what I have enjoyed most about this field.

    Got a Gig Teaching Java? You Should Be Using Apache NetBeans in the Classroom

    The same holds true for some of my submissions to Code One. Talking about NetBeans in education was the easy one. I use it in all my courses and for the use case of training Java developers, I feel strongly that it is the best IDE. My other two accepted sessions could best be described as Conference Driven Development.

    Let’s Be Honest, There Are More Java Villains Than Java Champions

    In the Java Community, there is a designation called Java Champions. A Java Champion is someone who has demonstrated leadership, innovation in Java development, and the writing of highly regarded books or open-source software. They are a driving force in the Java community. I was 0/3.

    That’s how I came up with For Let’s Be Honest, There Are More Java Villains Than Java Champions. Not everyone is a programming god. Not every piece of code is written to best practices using the ideal design pattern. So, I decided to do a humorous presentation on some of the bad practices that developers employ to get the job done. It was to be an homage to the journeyman developer. The truth is I saw it as a standup routine with PowerPoint slides. This was something I have never done. I can get the odd smile from my students and even a laugh or two, but 45 minutes of standup was going to be outside of my comfort zone.

    Running our Robot Overlords With Jakarta EE

    Two years ago, I encountered a company called Dexter Industries. They sold educational hardware for the Raspberry Pi computer. One of their products is the GoPiGo3 robot car. They had software in Python, C, and some other languages, but they did not have a formal offering in Java. I offered to work to produce the necessary Java programs to support the car working with my students in an extracurricular activity in return for getting some cars for free. The software was going to be open source. To my surprise, I could not interest my students in programming this ‘toy’ and so the two free robots Dexter sent me gathered dust on a shelf.

    That is how I came up with Running our Robot Overlords with Jakarta EE. The existing software in the other languages was meant to be used in applications that would run on the car’s Raspberry Pi. I thought it would be more interesting to create a hosting platform in Java Enterprise and then control the car remotely either from JSF web pages, RESTful services, websockets, or possibly even microservices. This is truly an example of Conference Driven Development. I won’t go into the details suffice to say that I expanded my knowledge of Enterprise Java, now called Jakarta EE, way beyond what I expected when I wrote the proposal. It turned into a presentation more on EE than robotics. After probably more than 100 hours, I developed the necessary code to do most of what I set out to, all for a 45-minute presentation. I was still working on software issues for the presentation on the flight to San Francisco and even worked a few more hours on it in my hotel.

    When the conference began, I was ready. I had what I thought were three excellent sets of PowerPoint slides. I tested the robot and it worked flawlessly. After a session I attended that presented some other robots in the poorly lit conference rooms, I went to Target and bought a small desk lamp so that I could have a spotlight on my car. I was prepared for every eventually except one.

    Monday Evening BOF

    My first session was the Let’s Be Honest, There Are More Java Villains Than Java Champions BOF on Monday evening. I had 47 attendees come to hear me, a number that I was told was remarkable for a BOF. Unfortunately, all the rooms in the Moscone Center, where the conference is held, holds 300 seats. Still, I knew it was a good turnout.

    Making funny at Code One.

    I nailed it. I didn’t stand on the podium but walked around the room. I was given a wireless microphone, but I never turned it on. I have a loud voice and without a full room, there was no need for amplification. I opened with a Dudley Do-Right cartoon from the 60s that the attendees, all born long after the cartoon was made, found funny. This warmed up the crowd as I intended. With my remote in hand, I went thru the 18 slides and those who attended laughed. They laughed at the right places and clearly were having a good time. I finally understand why some people become standup comedians. The thrill of an engaged audience is better than any drug. Don’t get me wrong, I won’t be quitting my day job to perform at comedy clubs. This humor requires an audience of software developers. Still, given the opportunity, I’d love to do it again. I left the Moscone Center that night with a serious case of swollen ego and head.

    Tuesday Evening BOF

    Tuesday evening was my Got a Gig Teaching Java? You Should Be Using Apache NetBeans in the Classroom BOF session. This is when I discovered the one contingency I could not have a plan B for. No one showed up, zero, zip, devoid of humans. I knew that this is always a possibility for the BOF track and while I took it in stride it did deflate my mood from the previous night. On Thursday evening after the conference ended I was at a house party held by some people I became friends with from previous conferences known as the UsualSuspects. As I walked around the house I came across a few people talking when one of then told the story of the session no one attended, and that the speaker actually tweeted about it. One of the people knew me and he exclaimed: “Oh, you’re talking about Ken." I guess I’m infamous for something.

    Wednesday Morning DEV The GoPiGo3 under the spotlight

    Wednesday morning was my Running our Robot Overlords with Jakarta EE DEV session. Daytime sessions are big time. The session went off without a hitch. I even had to shorten it significantly when, after explaining my project and going thru the first experiment/demo, I noticed I had only 10 minutes left and four more demos. I had a plan B and one of my experiments showed a range of Java acronym frameworks that I was confident would be new and a novel for those attending. It was a success even though I had prepared a two-hour presentation and not a 45 minute one. When I briefly spoke with some of the attendees after the session, they expressed how much they enjoyed the session and that I had inspired them. The only downer was that only nine attendees came, sigh. I guess someone must give sessions that, despite the hopes of the committees that select sessions, fails to attract attendance. I just wish it wasn’t two of my sessions.

    Being expressive when talking about the GoPiGo3

    I have said, semi-seriously, to people I know at the conference that when I am in the classroom I am most likely the smartest person in the room. At Java One/Code One, I’m likely the dumbest person in the room. This year, I wanted to prove them wrong. I speak in front of students almost every day, and I will never be accused of being shy. Yet, I was truly nervous this year. Here I was trying my hand at standup and presenting technical EE. Was I going to make a fool of myself?

    I am confident all three presentations were up to the standards required of by Code One. Still, there is some disappointment that my sessions did not inspire more (or any) attendees to come and see what I had to say.

    Duke’s Choice Award for Innovation Awarded to Apache NetBeans

    Not everything was a bummer. I attended some excellent sessions. I am a proponent of NetBeans and a member, in a very small way, of the community working on it as it becomes an Apache rather than Oracle project. At Code One, they hand out an award called the Duke’s Choice for Innovation, and this year’s was handed out to the Apache NetBeans project. There were about 10 of us NetBeans folks who came forward at the presentation amongst the many NetBeans family members at Code One and as a group, we accepted the award. We also all got to have a professional portrait taken, one at a time, as we held the trophy. I posted that photo of me on Twitter and within 48 hours it had 19,000 impressions. Ego almost completely restored.

    Accepting the Duke’s Choice Award on behalf of the NetBeans community

    There is still another report to write. I receive funding to attend from Dawson College and Concordia University to help cover some but not all of my expenses. They require a report that details what I learned and how it will make me a better teacher.

    So, that’s my story. I know I’m a better programmer and a better teacher for attending Code One. I have networked with some amazing developers from around the world and had the chance to promote the conference DawsCon that I organize at Dawson College in January. Still, I wish I could have inspired more people at Code One.


    She took on a man's world and conquered it - ThoughtWorks CTO Rebecca Parsons' tryst with tech | killexams.com real questions and Pass4sure dumps

    In this week’s Techie Tuesdays, we feature Rebecca Parsons, CTO of ThoughtWorks. Simply put, Rebecca says she can’t imagine being anything but a technologist. A big proponent of women in tech and inclusiveness, Rebecca’s tryst with technology is an interesting read.

    “It's really hard for me to imagine how long have I been at the same company, but in some ways it doesn't feel like it's the same company,” says Rebecca Parsons, the Chief Technology Officer of ThoughtWorks.

    “When I started, we were less than 100 people, now we're 5,000 scattered all over the globe. I've always felt the company's value systems and my value systems are aligned. What constitutes success in the mind of the company and what constitutes personal success for me is aligned. I respect the people I work with, I respect the culture we've built. So, I feel like I can stay here, do good work and make a difference.”

    Rebecca-Parsons Rebecca-Parsons

    That probably best explains Rebecca Parsons’ life at ThoughtWorks. In interactions with tech-leaders over the years, I’ve found deep respect for the culture at ThoughtWorks. And when I meet Rebecca, I see her embodying that spirit and value system. Her journey at ThoughtWorks has shown her passion for technology, commitment to push boundaries and take ThoughtWorks to the next level.

    ‘I always knew I'd get PhD in something’

    Rebecca was born in Oconomowoc, southern Wisconsin, US. Her father was a priest and a professor, while her mother was a social worker. She characterises herself as a tomboy and spent much time climbing trees, swimming in the lake, and ice-skating on frozen lakes.

    Rebecca grew up in a theological seminary, and recalls reading several books as a child. “When I was young, I always knew I'd get a PhD in something, just didn't know what.”

    She moved to Peoria, Illinois, when she was 13 years old after her father was elected as the bishop. That was a difficult time for her as she had to change schools and adapt to different elementary school systems from Wisconsin to Illinois. There was some repetition of what she had already studied and realising this, her algebra teacher in the ninth grade gave her a copy of the text book for the programming class and asked her to learn programming. Rebecca fell in love with programming – this was the programming language PL-1.

    Computer Science and Economics

    Rebecca joined the University in Peoria at the age of 17 under the early admission programme. At 18, she started as a cooperative education student working at the Caterpillar tractor company. She graduated after three and a half years with a degree in Computer Science and Economics. At that time (1980-81), the computer science degree was more of an information systems degree. In university, she coded in PL-1, Fortran, COBOL and IBM-360 assembly language.

    At the university, Rebecca worked on a project as part of the combined compiler and operator course, where she wrote an operating system in Fortran for a new CDC computer.

    Related read - The making of Jyoti Bansal - from a small town in Rajasthan to building a multibillion-dollar tech company

    Caterpillar -II

    After graduation, she got job offers at Caterpillar from both its Computer Science and Economics departments. She recalls, “I thought if somebody would pay me to read Wall Street Journal, then why wouldn't I take the job in Economics.”

    Instead, she took up the computer science job because there was something about the technology job that seemed to interest her. At Caterpillar, she programmed in PDP-11 assembly language while working on warehouse automation, and her team replaced an old IBM-1800 with PDP-11 machine. She did almost all the programming to control systems for the cranes in the warehouse, and for the system that decided how loads went on conveyer belts.

    The systems were designed with Allen Bradley programmable controller, which talks to the actual hardware and the programmes Rebecca worked on talked to the Allen Bradley system for the conveyers and also directly to the cranes. This was the first or the second automated warehouse in the world.

    Rebecca while she was a Professor Rebecca while she was a Professor

    Keep learning, keep moving

    Rebecca moved to Dallas, Texas, to work for Mastec Semiconductors as a systems person in the computer-aided design group. There she learnt C programming language, VMS operating system and UNIX. She wrote a scheduling communication system that would allow an engineer to submit a job, and run them on the convex computer to get results. She says, “At one point of time, I was working on 11 different hardware platforms with seven different operating systems. So, I got a lot of chance to learn the low-level systems aspects of different architectures.”

    She also worked at Amdahl Communications, a wholly-owned subsidiary of Amdalh. They built communication switches and worked on the C programming language. Rebecca wrote intelligent filters for alarms so it would be easier to operate large networks

    When she moved to Dallas, she enrolled for a part time master’s programme in Computer Science at the University of Texas. Eventually, she realised she needed to enrol for the full time programme, so she stopped working in 1987 and went to Rice University in Houston.

    Graduate life and research @Rice University

    At Rice University, Rebecca was fascinated by a talk given by a couple of researchers from the University of Wisconsin. She recalls, “They came up with a way of reasoning about optimisation for vector and parallel programmes. At that time, Rice University was well known for a lot of research in vectorising compilers. I went up to the professor and later I ended up working under him on 'Semantics of programme dependence graphs'.”

    The programme dependence graph is an internal representation that was used by compilers to optimise programmes. Rebecca developed both denotational semantics and operational semantics for the programme dependence graph. Then, based on operational semantics, she developed an equation calculus that allows one to prove the correctness of optimisations.

    “Optimisation is basically changing the structure of the programme to make it run faster but you would have to see that you don't change the meaning of the programme.”

    Related read - The untold story of Alan Cooper, the father of Visual Basic

    Los Alamos National Laboratory

    Rebecca’s interest branched out a bit when she went to Los Alamos National Laboratory in 1992. She was on a director's post doctoral fellowship for two-and-a-half years. When she started, she couldn't get her security clearances so she worked from the outside, with molecular biologists. She solved their fragment assembly problem in a human genome project using genetic algorithms.

    This is also how she got involved in evolutionary computation and artificial intelligence. Rebecca joined DECUS (Digital Equipment Computer Users' Society) in 1983, and worked on AI SIG because of her interest in artificial intelligence.

    She worked on how to make it easier for people to write some scientific programmes in C++. There was a system called Rose, which was a library that people could use to write scientific programmes. She built some software that would allow the Rose library to be optimised.

    She also did some work in Haskell programming language, specifically around modelling reservoirs for oil and other things.

    “At that time, if you didn’t get into academia immediately after finishing your PhD, it would be very difficult to later get into it. So, I gave it a try. I loved the teaching, I hated the grading and I realised that I was not cut out to be an academic and was more of a practitioner.”

    Rebecca with her family Rebecca with her family

    ThoughtWorks journey – beginning

    One of Rebecca’s friend from DECUS was working at ThoughtWorks and asked her to join the company. “The timing was perfect as I wasn't happy doing what I was doing then. ThoughtWorks, at that time, was less than 100 people. I was really intrigued by the founder and people at the company. I liked the idea of joining a consulting company because I get bored very easily.”

    Rather than working for the same company doing the same thing on the same technology stack, she could go to different projects, work on different technologies/applications, different domains. That appealed to her desire to learn more.

    Ironically, the first project she worked on at ThoughtWorks was for the financing division of the Caterpillar tractor company. After a year, she went to work in London and helped start the company’s office in the UK. She stayed in the UK for three-and-a-half years and worked on a couple of projects in US before coming back to UK. Rebecca returned to the US after being named the Chief Technology Officer of the company.

    Also read - The untold story of Orkut Büyükkökten—the man who built world’s largest social network before Mark Zuckerberg

    Key projects before being the CTO
  • Getting finance express, the application for Caterpillar into production– This was basically a lease processing system. The company used agile software development techniques so there was a lot of test automation. The system was built in a very early version of Java, and it had different primary modules to handle interfacing with some external systems like the credit scoring system.
  • ThoughtWorks redid the store systems for Dicksons store group in UK- Rebecca worked on upgrading and deployment of the new version of software across all the stores and tills. There were 14,000 different tills across stores and the whole system was built in Java. The company used WebSphere and Oracle in the central servers, whereas the distribution software was from computer associates.
  • Rebecca's family with a couple Rebecca's family with a couple

    Post ThoughtWorks CTO era

    When Rebecca became the CTO of ThoughtWorks in 2009, there wasn't any CTO before her. Founder Neville Roy Singham had been acting in several roles and ThoughtWorks hired many smart people and a traditional top-down CTO who told people what to do, would not work. Realising this, Rebecca formed a Technology Advisory Board (TAB) for which she selected people from across different offices.

    “The idea was to work with the group and decide what technology we should be working on, from research perspective or adoption. That was the group that started Technology Radar.”

    As a group, the team asked:

  • What are the hot technologies?
  • What are technologies that the tech community feels are cool?
  • After compiling these lists, they decided to publish it for others (as a Technology Radar).

    With TAB, Rebecca wanted to formalise the influence of technology in the management of the organisation. As the company got bigger, it needed more people who understood the mechanics of running a business. “As countries (offices) got more autonomy, we had a head of technology in each country so that technologists continue to have a voice in business decision. Because we wanted to make sure that the technology remains at the heart of who we were, it was always our differentiator.”

    You may also like - Will over skill -- story of Vivek Vaidya and his $700 M startup exit

    Evolution during the years

    The role of CTO at ThoughtWorks is to look into both business and technology decision making.

  • First two years, Rebecca was internally focused on figuring how to work with different parts of the businesses.
  • From 2011, around 70 percent of her time was client facing, and she got actively involved in public speaking.
  • As the company continued to grow, much of what she was doing early on was taken up by the head of technology in different countries. More recently, they formed the office of the CTO as they got more clients, more technology heads, more conferences, and needed to distribute what she was doing.
  • Qualities that helped in the current role

    Rebecca is the voice for technology organisation in the company. She makes sure to communicate about technology in a way that the rest of the business understands and here, she believes her economics degree has come handy.

    “I get bored easily, I love to learn. You can't be the CTO without constantly learning because you'll be out of date very soon. And then it comes down to being able to build teams that want to work together and embody that passion for continuously improving.”

    Rebecca Parsons at GHIC2017; Photo Credit: @schsravanthi Rebecca Parsons at GHIC2017; Photo Credit: @schsravanthi

    Culture at ThoughtWorks

    According to Rebecca, ThoughtWorks doesn't only hire smart people, but those who are passionate about technology and about their craft. “We're a very collaborative culture where people will share their experiences of working on different technologies. So, it's a lot about taking the collective wisdom of 5,000 ThoughtWorkers across the globe and filter that down to the investments we're going to make.”

    ThoughtWorks boasts of the culture of collaboration and teamwork, the willingness to share and ask questions and explore, and constantly striving to improve. “When we figure something out, we want people to know about it. We want to continuously improve how the industry delivers the software.”

    Much of her role as CTO is to create and nurture an environment of team work and collaboration and support people who want to get their ideas out there.

    Also read - How Shashikant Khandelwal is making Facebook ads relevant for over a billion people

    Challenges

    For most of the company’s history, ThoughtWorks has been the expert in all the technologies that it needed to solve problems. But the technology landscape is getting increasingly complex. “Even with how much we’ve grown, there are going to be things we just can't do anymore. The footprint of the technology landscape is expanding and we need to figure out how to work with other organisations to complement the skills we bring.”

    “So, there are a lot of decisions to be made, where do we place those bets and who'll be the right partners for us to be working with to complement our skillsets.”

    When she started, more than 80 percent of ThoughtWorks employees were developers, and now the company has a significant number of designers, product people, and domain-focused workforce. The company has to work on how get people with different skill sets together and be a part of its strong culture. “To some extent, we have to broaden their conception of who we are without deluding the power of who we are.”

    Women in tech

    Rebecca Parsons receiving the Anita Borg Award, 2016 Rebecca Parsons receiving the Anita Borg Award, 2016

    One of the things that has Rebecca very passionate about women in tech is the first CTO panel that Anita Borg Institute put up at the Gracehopper celebrations. One of the students on Rebecca’s table from South East Asia said – “I think I need to find a new advisor because my advisor told me that I was taking a spot of a man and I need to go home and make babies like I was supposed to.”

    “We need to keep fighting some of these cultural biases that exist.”

    Rebecca recalls an incident when she was at the university and a professor said women were incapable of understanding computer science. “You just can't do things like that anymore. Things have improved because it's no longer acceptable in workplaces and society to say things like that.”

    Rebecca believes herself and many others at Thoughtworks to be geeks and passionate about technology. “I cannot imagine not being in the technology industry. But for a lot of men it is just a job - a well-paid job to make a good living.”

    Rebecca believes that as a woman in technology, if you're not really passionate about it, at some point you're just going to get tired of the environment. Over the last year and a half, she has had two separate instances where she had to appeal to friends because she was being harassed. “And that's me, I'm not a 25-year-old who doesn't know their way around the world. What would it be like for people who are just coming in."

    Sub-conscious bias and identity crisis

    According to Rebecca, human beings suffer from a sub-conscious bias. But the problem is how does one cope with the fact that bias exists and what we can do to mitigate the bias. She believes that we have to try to actively work against that bias and there's a long way to go.

    “We're in some kind of identity crisis as an industry, the tech industry really wants to believe there is meritocracy, but there is not. Because it's not a level playing field."

    She recalls an incident when she was at a conference where a woman gave a talk which wasn't very good. Later, a man who was attending the conference tweeted – “’Look, this is what happens when you focus on diversity, you get bad talks’. Lots of men over the years have given bad talks, but a bad talk by a man is not an indictment of all men's ability to speak. And yet, this happens.”

    “It's that dichotomy - you can give a bad talk and it's not going to impact another man, but if I gave a bad talk, women speakers get a bad name. As an industry, we need to change this.”

    Related read - Meet Kiran Bhat—the man who engineered Hulk and Tarkin to win 2017 sci-tech Oscar

    Hiring the right talent

    Rebecca looks for following in candidates while hiring a techie:

  • Passion for technology- She asks them about things they've worked on, their opinions on technology. One can tell when somebody gets excited about it.
  • Open minded about trying new technologies- There's no one perfect technology so one has to be open minded.
  • One who can collaborate- Even though ThoughtWorks hires specialised people, they don't want to hire lone wolves because the company always work in teams.
  • Decision making and value system

    Rebecca tries to evaluate each aspect before taking a decision. She is mostly driven by the following values:

  • Wanting to do the right thing
  • Fairness
  • Desire to continue to learn and develop
  • Empathy
  • Inclusiveness
  • Open-mindedness
  • For Rebecca, technology is a means to an end.

    “I'm certainly not a tech utopian but I'm not a tech dystopian either. Technology is quite powerful. I find it fascinating. With respect to technology, I imagine myself sitting on the fence between theory and practice.”

    For now, she would like to continue to make an impact in technology and diversity.

    You can follow her on Twitter or connect on LinkedIn.


    IBM and Red Hat wield power over enterprise Java | killexams.com real questions and Pass4sure dumps

    A combined IBM and Red Hat could mean changes for developers in a number of ways, one of which might be the future of enterprise Java.

    IBM's $34 billion Red Hat acquisition unites two of the leading proponents of enterprise Java. A key part of their success will be to ensure that the underlying programming model for their core applications evolves to suit the company's needs, but also the industry at large. IBM has no plans to veer its current path regarding Java, said Steve Robinson, general manager of IBM Hybrid Cloud.

    Nevertheless, IBM and Red Hat will have a lot of influence here. After years of Oracle hegemony over Java EE and the Java Community Process (JCP) to make changes to the Java platform, enterprise Java vendors wanted a change, concerned that Oracle used its power to promote features for its own benefit.

    Last year, Oracle moved Java EE to the Eclipse Foundation, where it is now known as Jakarta EE. Oracle made the move with the help of strategic members that included IBM and Red Hat, along with Fujitsu, Payara, Tomitribe and participating members that included CloudBees, Genuitec, Lightbend, Microsoft, Pivotal and SAP.

    Undue influence over enterprise Java?

    Some developers and industry observers question whether the IBM-Red Hat combination will simply operate as Oracle did and move enterprise Java in the direction to serve its own purpose.

    "Jakarta EE has only six strategic companies involved in the Steering [Committee]" said Paul Fremantle, CTO of WSO2 in Mountain View, Calif. "Two of them just merged. I can't see how that is helpful. IBM-Red Hat may not keep their two places, but even if they don't they will have a massive input onto the Jakarta project."

    Jakarta EE has only six strategic companies involved in the Steering [Committee]. Two of them just merged. I can't see how that is helpful. Paul FremantleCTO, WSO2

    Some suggest it's better to have more companies than fewer involved with Java. "With the acquisition, the Java eco-system is now minus one vendor, basically," said Jim Jagielski, co-founder of the Apache Software Foundation, and "open source chef" at ConsenSys, a New York-based blockchain software company.

    Comparisons to JCP and the Eclipse Foundation's steerage of Jakarta EE are not valid, said Mike Milinkovich, executive director of the Eclipse Foundation. Oracle owned and operated the JCP, while the Eclipse Foundation is a vendor-neutral trade association he said. IBM founded the original Eclipse IDE project but has no special votes or other levers of power at the Eclipse Foundation, Milinkovich noted. And the whole point of Jakarta EE is to increase the pool of contributors.

    "There are far more organizations and interest groups that have an equal seat at the table and are putting in equal amounts of funding and engineering resource," said Martijn Verburg, CEO of JClarity, a London-based software provider, and member of the JCP Executive Committee and Eclipse's Jakarta Steering Committee. Moreover, Jakarta EE and MicroProfile, a project to make enterprise Java more relevant to developers building cloud-native applications, are both at the Eclipse Foundation.

    Making enterprise Java better for all

    The union of IBM and Red Hat is more likely to accelerate enterprise Java's evolution into a cloud-native and microservices option, one that's comfortable for enterprise Java developers and won't require institutions to retrain or choose a new ecosystem, Verburg said. That is important to the future of the platform, as it must compete with other environments such as .NET and languages like Kotlin, Swift, Go, JavaScript and others.



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    IBM 000-041 Exam (Programming with IBM Enterprise PL/I) Detailed Information



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