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C9050-549 IBM Certified System Programmer - IBM IMS

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Test Code : C9050-549
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IBM IBM Certified System Programmer

IBM Vet Peter Porter Named Oracle Federal system income Director | Real Questions and Pass4sure dumps

Peter Porter

Peter Porter, formerly an authorized client govt at IBM‘s (NYSE: IBM) public sector enterprise, joined Oracle (ORCL) as director of federal system earnings, G2Xchange and so forth stated Monday.

He has greater than 30 years of know-how revenue experience and is responsible for leading a crew of authorities that presents Oracle methods to federal civilian corporations.

Porter held a 29-yr profession at IBM, where he in the past managed the company’s enterprise development efforts concentrated on the U.S. Postal service and income of the IBM Smarter Cities portfolio.

earlier in his corporate career, he worked in sales positions at Tektronix and Hewlett-Packard.

assess also

Andrea Garvey, former facts governance officer for the Maryland department of Human materials, has joined …

Jim Garrettson, founder and CEO of govt Mosaic, presented Todd Stottlemyer, CEO of client network …

constructing the gadget/360 Mainframe virtually Destroyed IBM | Real Questions and Pass4sure dumps

No outcomes discovered, try new keyword!Programming support grew to become another contentious challenge. Fred Brooks volunteered to aid, and IBM introduced 1,000 individuals to the working device challenge, costing the enterprise more for utility in 12 months ...

Researchers use noise records to increase reliability of quantum computers | Real Questions and Pass4sure dumps

a brand new method by researchers at Princeton school, college of Chicago and IBM tremendously improves the reliability of quantum computer systems through harnessing statistics in regards to the noisiness of operations on actual hardware. In a paper presented this week, researchers describe a novel compilation formulation that enhances the potential of aid-constrained and "noisy" quantum computers to produce helpful answers. certainly, the researchers validated a nearly thrice ordinary improvement in reliability for actual-device runs on IBM's 16-qubit quantum desktop, improving some software executions by as a good deal as eighteen-fold.

The joint research community contains desktop scientists and physicists from the EPiQC (Enabling useful-scale Quantum Computation) collaboration, an NSF excursion in Computing that kicked off in 2018. EPiQC aims to bridge the hole between theoretical quantum applications and courses to purposeful quantum computing architectures on near-time period contraptions. EPiQC researchers partnered with quantum computing experts from IBM for this study, which will be introduced at the twenty fourth ACM overseas convention on Architectural guide for Programming Languages and working programs (ASPLOS) convention in windfall, Rhode Island on April 17.

Adapting courses to qubit noise

Quantum computers are composed of qubits (quantum bits) which are endowed with particular residences from quantum mechanics. These special homes (superposition and entanglement) enable the quantum computer to signify a extremely large space of chances and comb through them for the appropriate answer, discovering options an awful lot quicker than classical computers.

however, the quantum computer systems of these days and the subsequent 5-10 years are restrained by noisy operations, the place the quantum computing gate operations produce inaccuracies and error. while executing a software, these blunders accumulate and potentially result in incorrect solutions.

To offset these error, users run quantum programs heaps of times and select essentially the most established reply because the correct reply. The frequency of this reply is referred to as the success rate of the application. In an awesome quantum laptop, this success rate would be 100%—each run on the hardware would produce the same answer. despite the fact, in apply, success charges are an awful lot less than 100% as a result of noisy operations.

The researchers observed that on real hardware, such because the sixteen-qubit IBM gadget, the error costs of quantum operations have very giant adaptations across the distinct hardware elements (qubits/gates) in the system. These error rates can also range from day to day. The researchers discovered that operation error fees can have up to 9 instances as much variation depending upon the time and site of the operation. When a application is run on this laptop, the hardware qubits chosen for the run examine the success expense.

"If they need to run a software these days, and their compiler chooses a hardware gate (operation) which has terrible error price, the program's success fee dips dramatically," said researcher Prakash Murali, a graduate pupil at Princeton school. "in its place, if they collect with cognizance of this noise and run their courses the use of the premiere qubits and operations in the hardware, they are able to enormously boost the success fee."

To make the most this thought of adapting application execution to hardware noise, the researchers developed a "noise-adaptive" compiler that makes use of specified noise characterization information for the goal hardware. Such noise facts is automatically measured for IBM quantum programs as a part of each day operation calibration and comprises the error fees for each and every type of operation in a position on the hardware. Leveraging this data, the compiler maps software qubits to hardware qubits that have low error charges and schedules gates right away to cut back possibilities of state decay from decoherence. additionally, it additionally minimizes the number of communication operations and performs them using reputable hardware operations.

improving the pleasant of runs on a real quantum gadget

To show the influence of this approach, the researchers compiled and completed a collection of benchmark classes on the 16-qubit IBM quantum computer, comparing the success rate of their new noise-adaptive compiler to executions from IBM's Qiskit compiler, the default compiler for this laptop. throughout benchmarks, they followed practically a three-times standard improvement in success cost, with up to eighteen instances advancements on some programs. In a couple of instances, IBM's compiler produced wrong answers for the executions owing to its noise-unawareness, whereas the noise-adaptive compiler produced appropriate answers with excessive success costs.

despite the fact the team's methods were established on the sixteen-qubit machine, all quantum programs within the next 5-10 years are expected to have noisy operations on account of difficulties in performing genuine gates, defects led to by using lithographic manufacturing, temperature fluctuations, and different sources. Noise-adaptivity will be critical to harness the computational vigour of those programs and pave the way towards enormous-scale quantum computation.

"when they run colossal-scale programs, they desire the success quotes to be excessive to be capable of distinguish the appropriate reply from noise and also to in the reduction of the number of repeated runs required to acquire the answer," emphasised Murali. "Our comparison clearly demonstrates that noise-adaptivity is essential for reaching the whole knowledge of quantum techniques."

The crew's full paper, "Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum computer systems" is now posted on arXiv and may be offered at the 24th ACM foreign convention on Architectural aid for Programming Languages and operating programs (ASPLOS) conference in windfall, Rhode Island on April 17.

greater information: Prakash Murali et al. Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum computer systems, arXiv:1901.11054 [quant-ph]

quotation: Researchers use noise statistics to increase reliability of quantum computers (2019, April 17) retrieved 17 April 2019 from

This doc is field to copyright. other than any fair dealing for the intention of deepest study or research, no half could be reproduced with out the written permission. The content is provided for counsel applications simplest.

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IBM Certified System Programmer - IBM IMS

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IBM's Information Management System: Then and Now | real questions and Pass4sure dumps

This chapter covers the history of IBM's Information Management System (IMS) from its beginnings at NASA in 1969 to its current incarnation, and explains why IMS is still relevant to customers today.

This chapter is from the book 

This chapter presents IMS's past and discusses IMS as a strategic part of today's computing environment.

In This Chapter:

  • "History of IMS: Beginnings at NASA"
  • "Is IMS Still Strategic for Customers and IBM?" on page 4
  • IMS has been an important part of world wide computing since its inception.

    On May 25, 1961, United States President John F. Kennedy challenged American industry to send an American man to the moon and return him safely to earth. The feat was to be accomplished before the end of the decade, as part of the Apollo program. American Rockwell won the bid to build the spacecraft for the Apollo program and, in 1965, they established a partnership with IBM to fulfill the requirement for an automated system to manage large bills of material for the construction of the spacecraft.

    In 1966, 12 members of the IBM team, along with 10 members from American Rockwell and 3 members from Caterpillar Tractor, began to design and develop the system that was called Information Control System and Data Language/Interface (ICS/DL/I). During the design and development process, the IBM team was moved to Los Angeles and increased to 21 members. The IBM team completed and shipped the first release of ICS in 1967.

    In April 1968, ICS was installed. The first "READY" message was displayed on an IBM 2740 typewriter terminal at the Rockwell Space Division at NASA in Downey, California, on August 14, 1968.

    In 1969, ICS was renamed to Information Management System/360 (IMS/360) and became available to the IT world.

    Since 1968, IMS:

  • Helped NASA fulfill President Kennedy's dream.
  • Started the database management system revolution.
  • Continues to evolve to meet and exceed the data processing requirements demanded by today's businesses and governments.
  • IMS as a Database Management System

    The IMS database management system (DBMS) introduced the idea that application code should be separate from the data. The point of separation was the Data Language/Interface (DL/I). IMS controls the access and recovery of the data. Application programs can still access and navigate through the data by using the DL/I standard callable interface.

    This separation established a new paradigm for application programming. The application code could now focus on the manipulation of data without the complications and overhead associated with the access and recovery of data. This paradigm virtually eliminated the need for redundant copies of the data. Multiple applications could access and update a single instance of data, thus providing current data for each application. Online access to data also became easier because the application code was separated from data control.

    IMS as a Transaction Manager

    IBM developed an online component to ICS/DL/I to support data communication access to the databases. The DL/I callable interface was expanded to the online component of the product to enable data communication transparency to the application programs. A message queue function was created to maintain the integrity of data communication messages and to provide for scheduling of the application programs.

    The online component to ICS/DL/I ultimately became the Data Communications (DC) function of IMS, which became the IMS Transaction Manager (IMS TM) in IMS Version 4.

    What Drove The AI Renaissance? | real questions and Pass4sure dumps

    Italian Renaissance: Vitruvian Man by Leonardo da Vinci


    It is the present-day darling of the tech world. The current renaissance of Artificial Intelligence (AI) with its sister discipline Machine Learning (ML) has led every IT firm worth its salt to engineer some form of AI onto its platform, into its toolsets and throughout its software applications.

    IBM CEO Ginni Rometty has already proclaimed that AI will change 100 percent of jobs over the next decade.

    And yes, she does mean everybody's job from yours to mine and onward to the role of grain farmers in Egypt, pastry chefs in Paris and dog walkers in Oregon i.e. every job. They will now be able to help direct all workers’ actions and behavior with a new degree of intelligence that comes from predictive analytics, all stemming from the AI engines they will now increasingly depend upon.

    When did it all go so right?

    But AI used to be a fanciful notion mostly confined science fiction, so when did it all go right?

    In recent years we’ve had some big changes in technology. Aside from the proliferation of mobile devices that has impacted us all, memory has become a lot cheaper, data storage has become a lot easier (in cloud, and elsewhere) and computer processing speeds have continued to outstrip previous records. With the power of quantum computing around the corner, is the AI renaissance simply a result of the coming together of these ‘tech ingredient’ forces?

    “It isn't just massive compute power. There are important algorithmic changes that have been developed. Plus, it is much easier to gain access to more data in an Internet-connected world,” said Ted Dunning, CTO at data platform, AI and analytics company MapR. “All three aspects (compute, algorithms, data) combine to make todays machine learning possible. Also and quite frankly, a lot of applications only need data availability... they could have implemented them 25 years ago pretty easily if the data had been available and the output of the model could have been integrated back into the business flow.”

    So, in many ways, Dunning really heralds the modern era of the web as the key facilitator for the new age of AI. Information has become not just ubiquitous; it has also become easier to access and more accurately classified into structured, semi-structured and unstructured data in its rawest form.

    Tuning AI towards life

    Dunning and MapR point out that the new generation of AI & ML is now rediscovering ideas, some of which were first thought of some 50 years ago. The difference today is, each time keep adding a bit of something new. A bit of computing power here, better data there, new ideas for organizing and optimizing a network and after a while they get to build new AI systems that really do useful work. So how should they continue to engineer these new systems?

    "A key to success [in the new era of AI] is to focus on the design of the human-AI interactions as much as in the AI itself," said Jesus Mantas, general manager and managing partner in IBM Global Business Services. “Many AI programs focus primarily on machine learning algorithms and training datasets, but fail to address the most important success factors: the design of human-machine relationships, new AI-powered workflows… and perfecting the choreography of processes, technology and humans. Those programs rarely scale or achieve benefits. The companies succeeding to scale AI and its benefits demonstrate that skilled, purposeful design of workflows and user interactions lead to faster adoption and business benefits."

    CEO of AI code analytics platform company Gamma is Vishal Rai. In general terms, Rai agrees that the AI renaissance has been driven by tectonic shifts in three areas in the computing world: computing power, swathes of data (and its accessibility)… but also by human ingenuity.

    He points to new developments coming out of both Silicon Valley but further afield also (China being a prime example, Huawei builds its smartphone chipsets around its Kirin AI-enriched microprocessor) and says that this is all helping to create future industries such as autonomous driving and health care diagnostics.

    Real world application of AI applications

    So in what ways are the new real world applications of AI manifesting themselves and starting to impact the services they use below the surface?

    Cloud computing software intelligence and Application Performance Management (APM) specialist Dynatrace has now extended its AI-powered platform to include IBM Z mainframe support for CICS (a mainframe programming language), IMS (a mainframe database) and middleware. To put that in less technical terms, Dynatrace can be used to monitor software that sits on mainframes to make sure it stays healthy.

    Why bother? Because the mainframe was never built to be hammered by devices with massively busy data streams like mobile banking apps, games and other online niceties. This means they need AI to understand what impact the mainframe is having on the newer systems they build.

    “While enterprises are moving applications to modern cloud stacks for agility and competitive advantage, these applications often still depend on critical transactions and ‘crown jewels’ customer data residing on IBM Z mainframes. This puts pressure on these resources to perform tasks that were not envisioned when the mainframes were launched,” said Steve Tack, SVP of products at Dynatrace. “Because Dynatrace provides end-to-end hybrid visibility [through their Davis AI engine], customers can optimize new services, catch performance degradations before user impact, and understand exactly who has been impacted by an incident. This enables customers to confidently innovate applications that leverage data from mainframes to increase revenue, build brand loyalty, and create competitive advantage.”

    AI as a work of art

    Many would argue that the path to contemporary AI has been a long slog, but the systems they build now keep finding clever shortcuts… so the momentum for the AI renaissance is actually building cumulatively.

    Some argue that AI never went away and that the current popularization of AI and its ensuing discussion is just a natural progression of a technology that simply needed to come through a period of adolescence. Either way, AI is in your smartphone and in your cloud computing services, so renaissance or not, let’s hope it continues to become a work of art.

    Renaissance art


    Latest IBM i TRs To Ship Next Month | real questions and Pass4sure dumps

    August 15, 2018 Alex Woodie

    IBM unveiled a pair of out-of-bound technology refreshes (TRs) for the IBM i operating system last week. In addition to supporting the new Power Systems E980 server, IBM i 7.3 TR5 and 7.2 TR9 bring a set of enhancements to the platform’s database, development tools, and the administrative interface.

    The IBM i installed base has grown accustomed to seeing operating system updates in the spring and the fall. This twice-a-year pattern has been with us, more or less, since IBM shifted to the TR approach several years ago. But IBM broke with that tradition last week when it announced that IBM i 7.3 TR5 and 7.2 TR9 will ship on September 14.

    The two TRs bring largely the same set of new features. However, customers IBM i who plan to adopt Power9 hardware should be making the move to IBM i 7.3 “fairly quickly,” according to Steve Will, the IBM i architect at IBM.

    Here’s what the new TRs bring to various components of the IBM i operating system:

    Db2 for i

    IBM is delivering various enhancements to the core database that ships with the operating system, starting with new ILE RPG controls that will yield “improved RPG programmer productivity” when using embedded SQL.

    This release also brings “new and enhanced” built-in functions (BIFs) that will help developers push more business logic into SQL statements. IBM has also improved its code generation process for procedures, BIFs, and triggers, which will yield better performance when the objects are recompiled. Enhancements to the JTOpen JDBC driver should make it easier to build highly available applications, IBM says.

    System, administrators will also get something out of the Db2 for i enhancements. Instead of typing IBM i commands, admins can use a pair of SQL statements, including ACTIVE_JOB_INFO UDTF and JOB_DESCRIPTION_INFO, to get useful information from the database.

    Database engineers are the big beneficiaries of a series of other enhancements, including a new SQL procedure — the eloquently named QSYS2.GENERATE_SQL_OBJECTS() – that “analyzes dependent objects to produce perfectly ordered generated SQL,” IBM says.

    IBM will deliver the database enhancements through Db2 PTF Group SF99703. You can read more about the Db2 for i enhancements in IBM database guru Scott Forstie’s developerWorks article on the topic.

    IBM i Access Client Solutions

    The ascendance of IBM i Access Client Solutions (ACS) as the primary user interface for multiple audiences on the platform is one of the big IBM i stories of the past five years. With the new TRs, the ACS story gets better.

    One of the big enhancements with ACS version 1.7 resides within the 5250 emulator, which is one component of the product. IBM says it will support Java Print Service (JPS) for the 5250 emulator, which will bring a range of print-related capabilities to ACS.

    With this release, the 5250 emulator for ACS gains support for new features, such as: setting characters per inch (CPI) and lines per inch (LPI); specifying page size and font size scaling (i.e. double-width, double-height); support for SBCS and DBCS text; support for horizontal and vertical positioning; support for grid lines, barcodes, and fonts; the capability to set orientation (portrait and landscape); and scaling features (i.e. fit-to-page or not).

    Database engineers are also beneficiaries of enhancements in ACS. IBM says it’s giving engineers a host of new features for managing database schemas in ACS, including the capability to work with locked rows and the capability to lock holders. They also get the capability to cut, copy, and paste tables and indexes; to change schema text and schema properties; and to take action to launch in Journal View Entries, the announcement letter says.

    IBM also mentioned in the announcement letter that it will be providing a new interface for managing open source software with ACS. As they previously told you, IBM is moving away from the 5733-OPS product and instead is embracing Yum and RPMs for delivering open source to IBM i. As part of that transition, IBM is providing a GUI in ACS that lets users select which open source components to download and install to their IBM i, avoiding the confusing PTF process entirely.

    The one caveat to the new ACS functions is that the software will now require Java 8.

    Open Source

    On the open source front, the shift to Red Hat Package Manager (RPM) and Yellow Dog Updater Modified (Yum) brings significant changes to the way that IBM i users will consume and use open source software going forward. IBM shipped a tech preview of RPM and Yum on IBM i earlier this year. With IBM i 7.3 TR5 and 7.2 TR9, the technologies will become standard parts of the OS.

    IBM is planning to ride RPM and Yum to shift its open source delivery into high gear. To that end, IBM i users now have access to the latest versions of popular open source languages, including Node.js version 8 and Python version 3.6.

    IBM is also updating its cryptographic libraries via RPM. IBM says that, by supporting OpenSSL 1.1.1, it “brings TLS 1.3 capabilities to any technology that uses OpenSSL.” TLS 1.3 is much-anticipated follow-on to TLS 1.2, which has identified security holes, and was finally released by the IETF just last week. IBM also is offering the nginx HTTP server via RPM, which is important because nginx was built to take advantage of OpenSSL 1.11 and therefore TLS 1.3, IBM points out.

    New commands are also coming to the platform through RPM. IBM says users can find a host of industry-standard GNU commands, including: less; grep; ls; awk; sed; find; patch; tar; iconv; and sort. (We’re sure these commands will find their way into the IBM i vernacular in short order.)

    Other open source packages riding the RPM wave onto the IBM i include GNU C Compiler and associated toolchain, which will let developers create apps that run in PASE; LFTP a “sophisticated” file transfer program that can serve as a command-line FTP utility and can be used to create mirror sites or perform multiple tasks in parallel; and GNU nano, which delivers a basic file editor in a terminal session.

    You can read the announcement letter for IBM i 7.3 TR5 here, and the letter for IBM i 7.2. TR9 here.


    Big Blue Moves Up Technology Refreshes For IBM i

    RPM And Yum Are A Big Deal For IBM i. Here’s Why

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