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000-257 Application progress with IBM Rational Application Developer for Web Sphere

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000-257 exam Dumps Source : Application progress with IBM Rational Application Developer for Web Sphere

Test Code : 000-257
Test cognomen : Application progress with IBM Rational Application Developer for Web Sphere
Vendor cognomen : IBM
: 106 actual Questions

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IBM Application progress with IBM

Actifio publicizes OEM contract with IBM To aid hasten up utility Modernization in a Multicloud facts & AI World | actual Questions and Pass4sure dumps

WALTHAM, Mass., Feb. 5, 2019 /PRNewswire/ -- Actifio these days announced an oem settlement with IBM wherein IBM will leverage Actifio's patented digital facts Pipeline know-how for its unusual IBM InfoSphere digital facts Pipeline (VDP) providing.

the unusual IBM providing is designed to serve corporations hasten up the modernization, pile and evolution of unusual records-pushed functions within hybrid and multicloud environments.

Steve Duplessie, Founder and Senior Analyst, commercial enterprise routine community, observed, "From their brand unusual 2019 IT Spending Intentions research, they know that for those that disagree with IT a 'company inhibitor,' forty three% thunder so because 'it's intricate to access the information they exigency for industry operations and evaluation.' not being capable of entry any facts, any position at any time, for any purpose is a tremendous rigor when the world of enterprise is trying to digitally transform. Actifio changed into constructed to resolve this problem."

IBM InfoSphere VDP is designed to give valued clientele with a secured, self-service platform to rapidly entry any aspect-in-time replica of a production dataset and effectively update it with the most concurrent reproduction, for utility progress in multicloud, hybrid cloud or on-premises environments. This self-serve information access capability can aid hasten up time to marketplace for software pile and modernization, while helping to in the reduction of costs linked to each traditional and incessant dawn (DevOps) software progress lifecycles.

Rob Thomas, prevalent supervisor, IBM Analytics, spoke of, "with the aid of enabling shoppers to perquisite away and simply access construction facts it truly is stored up to date incrementally, IBM InfoSphere VDP can aid consumers hasten up checking out and utility modernization. This velocity and agility is censorious to subsist a hit in a ultra-modern dynamic, ever altering industry atmosphere and further helps their consumers build their information in a position for AI."

Ash Ashutosh, founder and CEO of Actifio, mentioned, "we've had a relationship with IBM for years, and no different enterprise is conscious information-driven enterprise person needs more suitable than IBM. This newest chapter in their alliance advances their skill to uphold customers as they undertake information-pushed software transformation initiatives. This alliance is further validation of Actifio's song list of setting up technology that allows organisations to hasten up application modernization and in fact leverage their statistics as a strategic asset." 

building on market-main innovation in hybrid and multicloud technologies, Actifio solutions more and more pressure enterprises' essential digital transformation initiatives to accelerate DevOps and analytics.

For extra assistance on Actifio, gladden consult with

About ActifioActifio is the world's main industry records-as-a-service (DaaS) utility platform. more than three,500 businesses in 38 countries matter on Actifio options to enable users to carry their statistics simply as they bring their functions and infrastructure – as a service, obtainable instantly, any place. An business-category software platform powered with the aid of patented virtual facts Pipeline™ expertise, Actifio frees records from typical infrastructure to accelerate adoption of hybrid cloud and construct better first-class functions faster. For greater, debate with or comply with on Twitter @Actifio.

Media Contact:P.J. Lee, CTP for

View original content to download multimedia: up-utility-modernization-in-a-multicloud-records--ai-world-300789626.html

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Copyright (C) 2019 PR Newswire. totality rights reserved

Zerto partners with IBM to give information protection for IBM’s Resiliency Orchestration DRaaS confess | actual Questions and Pass4sure dumps

March 20, 2018 09:00 ET | source: Zerto

LAS VEGAS, March 20, 2018 (GLOBE NEWSWIRE) -- Zerto, an industry chief for IT Resilience, today introduced at IBM consider 2018 that it's partnering with IBM services to provide the replication engine behind IBM’s wonderful resiliency orchestration answer. specially, Zerto IT Resilience Platform™ will subsist accessible to IBM valued clientele throughout the IBM Resiliency Orchestration DRaaS confess for simplified, quick recuperation of digital infrastructure.

IBM’s Resiliency Orchestration DRaaS confess stands as a different offering to assist agencies help totality of their virtual and physical workloads, whether working on an IBM mainframe, IBM power AIX, IBM device I, sun Solaris or HP-UX equipment, and to subsist sure coordinated utility restoration totality through. here is significant, because the providing automates the workflow of calamity healing for a consumer’s finished heterogeneous atmosphere to deliver a more predictable, simplified and always-on operation that results in decreased risk, charge, trying out and recuperation time.

IBM Resiliency Orchestration is for calamity recovery and cyber resiliency, and is purchasable on client premises, IBM Cloud and IBM resiliency records centers. it is obtainable as both application and a managed service. The providing has the capability to encompass Zerto’s replication technology, the complete VMware stack and the end-to-end IBM managed capabilities using IBM’s Resiliency Orchestration device, totality in a solitary dashboard.

The IBM Resiliency Orchestration answer, with replication know-how with the aid of Zerto, goals to:

  • Simplify calamity recuperation operations
  • ensure calamity recovery readiness on-premise and/or across assorted clouds
  • reduce complexity and chance
  • retailer time with smarter automation
  • improve reporting and BCDR checking out across systems
  • allow a lifecycle approach to healing
  • assisting charges“With the uphold of Zerto’s replication technology, IBM clients can instantly recoup their virtualized workloads regardless of the underlying applied sciences. The combined solution helps remedy many IT resilience challenges that commercial enterprise groups face when working with legacy applications that win talents of virtual and physical infrastructure.”- Mehran Hadipour, Director of international company building, Zerto

    “Simplicity across the hybrid IT panorama is an significant Part of the IBM Resiliency Orchestration answer, and it is chummy for its ease of disburse and viability in a shopper’s healing posture. a lot of their enterprise consumers are seeking for a issuer to exploit their finished DR environment, which frequently contains assorted clouds and underlying applied sciences relish mainframes or different actual devices. via partnering with Zerto, we’re able to disburse foremost-of-breed continuous availability to give their clients exactly what they’re hunting for in a simple and seamless model.”- Daniel Witteveen, vice chairman, global Portfolio, IBM Resiliency services

    extra elements

  • Zerto and IBM will subsist showcasing this confess on the IBM deem convention this week. Zerto can also subsist discovered at booth #243 where attendees can additionally subsist trained in regards to the capacity to bi-directionally replicate to and from IBM Cloud with Zerto’s IT Resilience Platform. 
  • Zerto and IBM will even subsist offering together at the display; How a worldwide coverage provider delivers insurance with IBM Cloud and Zerto. Zerto and IBM will focus on how a apt international assurance issuer chose Zerto emigrate myriad workloads to give unmatched efficiency and a pay-for-use saturate model. The session will win zone on Tuesday, March 20, 2018 at eleven:30 a.m. in Lagoon C; session identification: 9057A.
  • About ZertoZerto helps shoppers accelerate IT transformation by eliminating the possibility and complexity of modernization and cloud adoption. via changing varied legacy solutions with a solitary IT Resilience Platform, Zerto is changing the course catastrophe healing, records coverage and cloud are managed. With enterprise scale, Zerto’s application platform supplies continuous availability for an totality the time-on client adventure whereas simplifying workload mobility to protect, ensnare well and stream purposes freely across hybrid and multi-clouds. Zerto is depended on by means of over 6,000 valued clientele globally and is powering resiliency offerings for Microsoft Azure, IBM Cloud, AWS, Sungard AS and more than 350 cloud services suppliers.

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    setting up IBM Streams functions with the Python API (version 1.6) | actual Questions and Pass4sure dumps

    The IBM facts Science journey (DSX) platform now integrates Streaming Analytics functions the usage of version 1.6 of the Python application API, which allows software pile and monitoring totally in Python. The at present supported Python edition is Python three.5.

    Python builders can disburse the streamsx kit to:

  • Create IBM Streams functions in DSX Jupyter notebooks.
  • Create apps that are rush within the Streaming Analytics provider.
  • access statistics streams from views defined in any app it really is running on the service.
  • furthermore, Python developers can now monitor submitted jobs with the Python relaxation API. here is especially exciting for builders who exigency to retrieve and visualize streaming facts in Jupyter notebooks, as an example, for debugging or further logging.

    To multiply streaming purposes with Python 3.5 in DSX Jupyter notebooks, which you can disburse the STREAMING_ANALYTICS_SERVICE context to set up a Python application to the IBM Streaming Analytics service.  pattern DSX Jupyter notebooks for Python applications that technique streams are available on the community page of DSX:

  • hello World!: Create an simple apt day World! application to ensnare started and installation this application to the Streaming Analytics provider.
  • Healthcare Demo: Create an utility that ingests and analyzes streaming information from a feed, and then visualizes the statistics in the notebook. You eventually post this utility to the Streaming Analytics carrier.
  • Neural web Demo: Create a pattern records set, create a model for the sample statistics, disburse that mannequin in a streaming application, visualize the streaming information, and at final set up the streaming software to the Streaming Analytics provider.
  • example: The Neural internet pc

    to illustrate the workflow of constructing a streaming utility in DSX, they are able to stroll through the Neural internet demo listed above. The workflow is comprised of three fundamental steps:

  • Use the Python API to compose the streaming software.
  • put up the utility to subsist rush in a Streaming Analytics provider.
  • Retrieve records again into the notebook for visualization.
  • The goal of the Neural web workstation is to exhibit how a data scientist can educate a model on a set of facts, after which automatically involve that model into a Streaming utility.

    creating a pattern facts set

    First, they create a pattern information set comparing the temperature of an engine to the chance that it is going to fail within the subsequent hour:

    xvalues = np.linspace(20,a hundred, a hundred)yvalues = np.array([((np.cos((x-50)/100)*100 + np.sin(x/100)*100 + np.random.normal(0, 13, 1)[0])/one hundred fifty.0 for x in xvalues])yvalues = [y - np.amin(yvalues) for y in yvalues] create_plot(xvalues, yvalues, title="Engine Temp Vs. probability of Failure", xlabel = "probability of Failure", ylabel = "Engine Temp in degrees Celcius", xlim = (20,100), ylim = (0,1))

    For brevity, several imports and performance definitions beget been eliminated, however the entire code is proven in the notebook itself.

    practicing a mannequin

    Given the information set they created, they disburse the PyBrain library to coach a Feed forward Neural community (FFN) as a mannequin to prognosticate failure percentages given a temperature.

    # The neural web to subsist trainednet = buildNetwork(1,100,a hundred,a hundred,1, jaundice = authentic, hiddenclass = SigmoidLayer, outclass = LinearLayer) # construct a data set of the training datads = SupervisedDataSet(1, 1)for x, y in zip(xvalues, yvalues):ds.addSample((x,), (y,)) # The practicing harness. Used to coach the = BackpropTrainer(web, ds, learningrate = 0.0001, momentum=0, verbose = False, batchlearning=False) # educate the model. for i in latitude(50):coach.train() # parade the mannequin in the plot.fig, ax = create_plot(xvalues, yvalues, title="Engine Temp Vs. probability of Failure", xlabel = "likelihood of Failure", ylabel = "Engine Temp in degrees Celcius", xlim = (20,a hundred), ylim = (0,1)) ax.plot(xvalues, [net.activate([x]) for x in xvalues], linewidth = 2, color = 'blue', label = 'NN output')

    The fully skilled model, web, is an simple Python object, which, when provided with a temperature price, produces a probability analyzing. Above, they can notice the output of the mannequin (in blue) plotted in opposition t the data set.

    the usage of the model in a Streaming utility

    It isn’t enough to quite simply beget the net model in the DSX computing device, they might are looking to route it into construction to prognosticate disasters in precise time. To insert the model into a real-time streaming application with the streamsx.topology Python API, you ought to disburse courses that create and exploit streaming statistics.

    here two courses symbolize such advent and manipulation of records, and are necessary components of the streaming application. The periodicSource character submits a random number between 20 and one hundred every 0.1 seconds, and is used to simulate sample temperature readings.

    The NeuralNetModel class with ease takes an information merchandise, feeds it as enter to the neural net, and returns the output onto a circulation.

    # The supply of their data. every 0.1 seconds, a number between 20-one hundred might subsist inserted into the circulation# input: None# OUTPUT: A glide with orbit [20,100]class PeriodicSource(object):def __call__(self):while real:time.sleep(0.1)yield random.uniform(20,a hundred) # a category which runs the neural web on records it is handed.# enter: the input to the neural internet, during this case a floating point number# OUTPUT: an array containing the output of the neural internet, as smartly as the input to the neural internet.class NeuralNetModel(object):def __init__(self, internet):self.internet = netdef __call__(self, num):return [num,[num])[0]] constructing the Streaming software

    The application uses the periodicSource category to generate a circulation temperature readings, which might subsist then processed through an instance of the NeuralNetModel character to create a toddle of chance readings. considering that they are interested in viewing these probability readings, they allow the stream to subsist viewable with the view() formulation.

    # outline operatorperiodic_src = periodicSource()nnm = NeuralNetModel(web) # construct Graphtop = topology.Topology("myTop")move = desirable.source(periodic_src) # rush the temp readings in the course of the neural web and impress the# output as viewable.view = movement.seriously change(nnm).view()

    Now that they beget described the utility, they post it to subsist rush on a Streaming Analytics provider on Bluemix the disburse of a muster to publish.

    vs='streaming-analytics': ['name': service_name, 'credentials': json.loads (credentials)] cfg = context.ConfigParams.VCAP_SERVICES : vs, context.ConfigParams.SERVICE_NAME : service_name job = context.submit(context.ContextTypes.STREAMING_ANALYTICS_SERVICE, top, config=cfg)

    You’ll notice that the credentials and service_name values are used to define a cfg remonstrate used for authentication. each of those can subsist got from the Streaming Analytics service administration web page on Bluemix.

    Viewing Streaming statistics

    once the cognomen to submit has achieved effectively, the application is operating. they can view its output in DSX the usage of the view remonstrate that become created earlier.

    fig, ax = create_plot([], [], title="Engine Temp Vs. chance of Failure", xlabel = "chance of Failure", ylabel = "Engine Temp in degrees Celcius", xlim = (20,100), ylim = (0,1)) xdata = []ydata = [] try:queue = view.start_data_fetch() for line in iter(queue.get, None):xdata.append(line[0])ydata.append(go with the flow(line[1]))ax.lines[0].set_xdata(xdata)ax.lines[0].set_ydata(ydata)fig.canvas.draw()except: raisefinally:view.stop_data_fetch()

    each dot within the above graph represents a are alive temperature analyzing used to prophesy chance of failure. each time a brand unusual temperature reading is sent throughout the mannequin, its output is reflected in the graph.

    Closing the loop on DSX

    data visualization is fitting an more and more essential Part of data science. After creating a model, an information scientist wants instant visible comments on its effectiveness both out and in of a construction atmosphere. even if with static or actual-time statistics, DSX is a instrument that helps builders obtain this.

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    IBM i Has Been Getting With The Program For Years | actual questions and Pass4sure dumps

    February 4, 2019 Timothy Prickett Morgan

    There are many things that one could constructively censure IBM about when it comes to the Power Systems platform running the IBM i operating system. But, in recent years at least, one of those things would not subsist – and could not subsist – that the company has not done enough to embrace the most significant elements of the modern programming toolbox.

    In fact, the company has done and increasingly apt job of embracing and extending the compilers, interpreters, frameworks, and models of the programming languages that beget gone mainstream since Java first took the stage at the dawn of the dot-com boom in 1996 as an attempt to bring a simplified variant of C++, alive in an idealized, simplified, and importantly portable hardware abstraction called a virtual machine. Since that time, huge Blue and the IBM i community beget worked together, often with the community out in front with the active involvement of the IBMers in the developerWorks organization, to bring the Apache Web server and the Tomcat application server the OS/400, i5/OS and IBM i platform along with programming languages such as Perl, PHP, Python, and Node.js, and versioning tools such as Git, and other systems software that are are essential tools for modern programmers.

    The 2019 edition of the IBM i Marketplace Survey, which was released in January and which is spearheaded by Tom Huntington, executive vice president of technical solutions at HelpSystems, provided some insight into what is going on out there on the programming front. The survey was performed final October and had 700 respondents, with 57 percent coming from the United States but only 2 percent from Canada; another 19 percent came from Europe, 15 percent came from Latin America, and the leavings was split across Australia, Asia, and Africa. As they beget pointed out before, this is not precisely representative of the actual IBM i installed base, which is more heavily distributed outside of the United States; but the numbers are gradually shifting in the perquisite direction as HelpSystems translates the survey into more languages and organizations such as IT Jungle cheer readers to win the survey.

    The diversity of operating systems supported on the Power Systems platform and the competence to snap in tools created for Unix-like operating systems into the PASE AIX runtime embedded in OS/400 and its successors is a key factor to the competence to ensnare and disburse tools that other platforms have. (In this way, IBM preserves its own advantages such as RPG industry language programming and an integrated relational database management system and grafts on the advantages of other platforms, giving it a benign of hybrid vigor.) And IBM i shops beget been embracing that operating system diversity on the platform and becoming less matter on Windows Server machines running on X86 iron elsewhere in the datacenter, as you can notice from this operating system distribution from the survey:


    Only 22 percent of the companies surveyed said that they were only running the IBM i platform, and frankly, they find it difficult to believe that this number is not zero percent given how pervasive Windows file and print servers are. But it is viable to proceed it solitary with IBM i, perhaps in factory or remote retail settings, and it is viable so they will win the survey respondents at face value. What is animated in this chart is that the participate of Windows Server is falling. Back in the day, somewhere north of 95 percent of IBM midrange shops reported using Windows Server alongside their OS/400 and i5/OS machines, and this has been trending down as Linux, both on Power Systems iron inside of PowerVM analytic partitions and on outboard X86 systems, is on the rise. AIX has gained some penetration at IBM i shops, too, both on divide Power Systems machinery and on PowerVM partitions on the very machines running IBM i.

    As you might imagine, RPG remains the most common programming language in disburse at IBM i shops, with over 84 percent of respondents proverb they disburse RPG to create applications (or bought RPG applications from third party software vendors that do). The SQL database programming language ranks number two, at 72 percent, followed by the CL scripting language autochthonous to IBM at 47 percent and Java at 41 percent. Here’s the rundown of programming language adoption:

    There are a pair of animated things going on here. First, while 68 percent of shops report using Windows Server in their IBM i shops, only 17 percent thunder they are using the .NET framework from Microsoft for programming, which supports Visual Basic and the Java-inspired (that’s the nice course to thunder that) C# languages. They would beget thought that after two and a half decades, Java would beget been up there with RPG and SQL as a preferred language, but that has not happened. The symmetry of COBOL is about the historical trend and tends to subsist concentrated in the monetary services and insurance industries where code was ported from mainframes so many decades ago.

    Companies were obviously allowed to set down more than one programming language as Part of the survey, and if you add up totality of the percentages, you ensnare 320 percent, which implies an arithmetic denote of 3.2 languages in disburse per site on mediocre across the IBM i installed base. (Well, at least this upper echelon – by which they denote the active portion, not the biggest companies or those with the largest machines – Part of the IBM i base. They don’t know anything about the people who don’t win surveys and they deem that the data that was gathered for the five years of the IBM i Marketplace Survey are representative of these active shops. That means those that maintain their systems and operating systems relatively current and that minister to subsist more inclined to adopt newer technologies, ranging from storage zone networks to high availability clustering to advanced programming techniques.) They are of two minds about this average. First, RPG, SQL, and CL dominate, and combined they give you an mediocre of two languages. They deem there are lots of sites that mainly disburse RPG and SQL, particularly those that beget third party application software. It is significant to realize that the survey question was not what languages were used to create your applications, but rather what languages are used for unusual application development. So the foundation could beget a lot more diverse and a higher numerical distribution of compilers and interpreters than this data implies. I don’t deem this is the case, but it probably averages more relish five languages because whether they know it or not, there’s probably some SQL, CL, or Java running somewhere in the application stack.

    The survey asked companies about what open source technologies they beget deployed in their IBM midrange shops, and believe it or not the Apache web server, which IBM first commercialized as the kernel of WebSphere back in 1998, is still on the soar and that is probably happening as fewer and fewer shops disburse Windows Server for application and Web serving and more shops proceed native. That the autochthonous Apache Web server has only 40 percent penetration tells you what those Windows Server that remain are doing. It is a coalesce of print, file, Web, and application serving plus a hale dose of SQL Server for analytical database processing that companies don’t want to deploy natively on their IBM i machines. Python and Node.js are on a even rise, and the Git versioning instrument is finding its own level, too.

    What they can’t know from the first five surveys and what they would relish to know in the sixth next year is what percentage of RPG is being coded in the modern free contour style that is more relish what Java does and what percentage is still using the older school, more tightly constrained older RPG model. My guess is that for unusual code, it is probably as high as half and half, and that is reflected in the fact that about beget of the companies surveyed said that they had bought Rational Developer for i and were using it for at least some application coding. About a third of the companies that beget RDi thunder they are using it for totality of their application development, about a third thunder it is around half and half, and a third thunder it is less than half. mediocre that out and it is averaging around half of the applications at half of the companies surveyed are done using RDi, which implies free contour RPG.


    The IBM i foundation Did Indeed toddle On Up

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    Investment And Integration Indicators For IBM i

    Security still Dominates IBM i Discussion, HelpSystems’ 2018 Survey Reveals

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    The Feeds And Speeds Of The IBM i Base

    IBM i Priorities For 2017: Pivot To Defense

    IBM i Trends, Concerns, And Observations

    IBM i Survey Gets Better As Numbers Grow

    Where achieve Those IBM i Machines Work?

    Finding IBM i: A Game Of 40 Questions

    It Is Time To uncover Us What You Are Up To

    IBM i Marketplace Survey: The significance Of Being Earnest

    What’s Up In The IBM i Marketplace?

    IBM i Marketplace Survey Fills In The Blanks

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