|Exam Name||:||Application Development with IBM Rational Application Developer for Web Sphere|
|Questions and Answers||:||106 Q & A|
|Updated On||:||February 14, 2019|
|PDF Download Mirror||:||Pass4sure 000-257 Dump|
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000-257 exam Dumps Source : Application Development with IBM Rational Application Developer for Web Sphere
Test Code : 000-257
Test Name : Application Development with IBM Rational Application Developer for Web Sphere
Vendor Name : IBM
Q&A : 106 Real Questions
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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 new IBM InfoSphere digital facts Pipeline (VDP) providing.
the new IBM providing is designed to help corporations speed up the modernization, building and evolution of new records-pushed functions within hybrid and multicloud environments.
Steve Duplessie, Founder and Senior Analyst, commercial enterprise method community, observed, "From our brand new 2019 IT Spending Intentions research, we know that for those that agree with IT a 'company inhibitor,' forty three% say so because 'it's elaborate to access the information we need for business operations and evaluation.' not being capable of entry any facts, any place at any time, for any purpose is a enormous difficulty 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 contemporary reproduction, for utility development in multicloud, hybrid cloud or on-premises environments. This self-serve information access capability can aid speed up time to marketplace for software building and modernization, while helping to in the reduction of costs linked to each normal and continual beginning (DevOps) software development lifecycles.
Rob Thomas, prevalent supervisor, IBM Analytics, spoke of, "with the aid of enabling shoppers to right away and simply access construction facts it truly is stored up to date incrementally, IBM InfoSphere VDP can aid consumers speed up checking out and utility modernization. This velocity and agility is critical to be a hit in a ultra-modern dynamic, ever altering business atmosphere and further helps our consumers make 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 aware information-driven enterprise person needs more suitable than IBM. This newest chapter in our alliance advances our skill to support 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 speed 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, please consult with Actifio.com.
About ActifioActifio is the world's main business records-as-a-service (DaaS) utility platform. more than three,500 businesses in 38 countries count 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, discuss with Actifio.com or comply with on Twitter @Actifio.
Media Contact:P.J. Lee, CTP for Actifiopjlee@ctpboston.com
View original content to download multimedia:http://www.prnewswire.com/news-releases/actifio-broadcasts-oem-settlement-with-ibm-to-support-speed up-utility-modernization-in-a-multicloud-records--ai-world-300789626.html
Copyright (C) 2019 PR Newswire. All rights reserved
LAS VEGAS, March 20, 2018 (GLOBE NEWSWIRE) -- Zerto, an business 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 be accessible to IBM valued clientele throughout the IBM Resiliency Orchestration DRaaS answer for simplified, quick recuperation of digital infrastructure.
IBM’s Resiliency Orchestration DRaaS answer stands as a different offering to assist agencies improve all 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 be sure coordinated utility restoration all through. here is significant, because the providing automates the workflow of disaster 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 disaster 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, all in a single dashboard.
The IBM Resiliency Orchestration answer, with replication know-how with the aid of Zerto, goals to:
assisting charges“With the support of Zerto’s replication technology, IBM clients can instantly recover 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 take talents of virtual and physical infrastructure.”- Mehran Hadipour, Director of international company building, Zerto
“Simplicity across the hybrid IT panorama is an important part of the IBM Resiliency Orchestration answer, and it is familiar for its ease of use and viability in a shopper’s healing posture. a lot of our enterprise consumers are seeking for a issuer to manipulate their finished DR environment, which frequently contains assorted clouds and underlying applied sciences like mainframes or different actual devices. via partnering with Zerto, we’re able to use foremost-of-breed continuous availability to give our clients exactly what they’re hunting for in a simple and seamless model.”- Daniel Witteveen, vice chairman, global Portfolio, IBM Resiliency services
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 single IT Resilience Platform, Zerto is changing the way catastrophe healing, records coverage and cloud are managed. With enterprise scale, Zerto’s application platform supplies continuous availability for an all the time-on client adventure whereas simplifying workload mobility to protect, get 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.
be taught more at Zerto.com or register these days to be a part of us in Boston at ZertoCON in may also.
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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 building and monitoring totally in Python. The at present supported Python edition is Python three.5.
Python builders can use the streamsx kit to:
furthermore, Python developers can now monitor submitted jobs with the Python relaxation API. here is especially exciting for builders who need to retrieve and visualize streaming facts in Jupyter notebooks, as an example, for debugging or further logging.
To increase streaming purposes with Python 3.5 in DSX Jupyter notebooks, which you can use the STREAMING_ANALYTICS_SERVICE context to put 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:
to illustrate the workflow of constructing a streaming utility in DSX, we are able to stroll through the Neural internet demo listed above. The workflow is comprised of three fundamental steps:
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 include that model into a Streaming utility.creating a pattern facts set
First, we 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))/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 have been eliminated, however the entire code is proven in the notebook itself.practicing a mannequin
Given the information set we created, we use the PyBrain library to coach a Feed forward Neural community (FFN) as a mannequin to predict failure percentages given a temperature.# The neural web to be trainednet = buildNetwork(1,100,a hundred,a hundred,1, bias = 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 mannequin.coach = BackpropTrainer(web, ds, learningrate = 0.0001, momentum=0, verbose = False, batchlearning=False) # educate the model. for i in latitude(50):coach.train() # display 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 proficient model, web, is an easy Python object, which, when provided with a temperature price, produces a probability analyzing. Above, we can see 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 have the net model in the DSX computing device, we might are looking to send it into construction to predict disasters in precise time. To insert the model into a real-time streaming application with the streamsx.topology Python API, you ought to use courses that create and manipulate streaming statistics.
here two courses symbolize such advent and manipulation of records, and are necessary components of the streaming application. The periodicSource type 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 our data. every 0.1 seconds, a number between 20-one hundred might be inserted into the circulation# input: None# OUTPUT: A glide with range [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, self.net.activate([num])] constructing the Streaming software
The application uses the periodicSource category to generate a circulation temperature readings, which might be then processed through an instance of the NeuralNetModel type to create a move of chance readings. considering that we are interested in viewing these probability readings, we allow the stream to be viewable with the view() formulation.# outline operatorperiodic_src = periodicSource()nnm = NeuralNetModel(web) # construct Graphtop = topology.Topology("myTop")move = desirable.source(periodic_src) # Run the temp readings in the course of the neural web and mark the# output as viewable.view = movement.seriously change(nnm).view()
Now that we have described the utility, we post it to be run on a Streaming Analytics provider on Bluemix the use of a call 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 object used for authentication. each of those can be got from the Streaming Analytics service administration web page on Bluemix.Viewing Streaming statistics
once the name to submit has achieved effectively, the application is operating. we can view its output in DSX the usage of the view object 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)ydata.append(go with the flow(line))ax.lines.set_xdata(xdata)ax.lines.set_ydata(ydata)fig.canvas.draw()except: raisefinally:view.stop_data_fetch()
each dot within the above graph represents a are living temperature analyzing used to foretell chance of failure. each time a brand new 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 tool that helps builders obtain this.
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Avg. Rating 3.8 (4 votes)
I have used the beta and I really like a lot of new features of already a very matured tool. Previous reviewer didn't list the reasons for his feedback on the 7.5 beta. Is it just because of ignorance of the functionality or there are specific reasons??
I used it in my work.This is a peace of s***!Use Eclipse instead - it's free!
February 4, 2019 Timothy Prickett Morgan
There are many things that one could constructively criticize 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 be – and could not be – that the company has not done enough to embrace the most important elements of the modern programming toolbox.
In fact, the company has done and increasingly good job of embracing and extending the compilers, interpreters, frameworks, and models of the programming languages that have gone mainstream since Java first took the stage at the beginning of the dot-com boom in 1996 as an attempt to bring a simplified variant of C++, living in an idealized, simplified, and importantly portable hardware abstraction called a virtual machine. Since that time, Big Blue and the IBM i community have 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 last 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 remainder was split across Australia, Asia, and Africa. As we have 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 right direction as HelpSystems translates the survey into more languages and organizations such as IT Jungle encourage readers to take the survey.
The diversity of operating systems supported on the Power Systems platform and the ability 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 element to the ability to get and use tools that other platforms have. (In this way, IBM preserves its own advantages such as RPG business language programming and an integrated relational database management system and grafts on the advantages of other platforms, giving it a kind of hybrid vigor.) And IBM i shops have been embracing that operating system diversity on the platform and becoming less dependent on Windows Server machines running on X86 iron elsewhere in the datacenter, as you can see 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, we find it hard to believe that this number is not zero percent given how pervasive Windows file and print servers are. But it is possible to go it alone with IBM i, perhaps in factory or remote retail settings, and it is possible so we will take the survey respondents at face value. What is interesting in this chart is that the share 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 logical partitions and on outboard X86 systems, is on the rise. AIX has gained some penetration at IBM i shops, too, both on distinct Power Systems machinery and on PowerVM partitions on the same machines running IBM i.
As you might imagine, RPG remains the most popular programming language in use at IBM i shops, with over 84 percent of respondents saying they use 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 native to IBM at 47 percent and Java at 41 percent. Here’s the rundown of programming language adoption:
There are a couple of interesting things going on here. First, while 68 percent of shops report using Windows Server in their IBM i shops, only 17 percent say they are using the .NET framework from Microsoft for programming, which supports Visual Basic and the Java-inspired (that’s the nice way to say that) C# languages. We would have thought that after two and a half decades, Java would have been up there with RPG and SQL as a preferred language, but that has not happened. The proportion of COBOL is about the historical trend and tends to be concentrated in the financial services and insurance industries where code was ported from mainframes so many decades ago.
Companies were obviously allowed to put down more than one programming language as part of the survey, and if you add up all of the percentages, you get 320 percent, which implies an arithmetic mean of 3.2 languages in use per site on average across the IBM i installed base. (Well, at least this upper echelon – by which we mean the active portion, not the biggest companies or those with the largest machines – part of the IBM i base. We don’t know anything about the people who don’t take surveys and we think 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 keep their systems and operating systems relatively current and that tend to be more inclined to adopt newer technologies, ranging from storage area networks to high availability clustering to advanced programming techniques.) We are of two minds about this average. First, RPG, SQL, and CL dominate, and combined they give you an average of two languages. We think there are lots of sites that mainly use RPG and SQL, particularly those that have third party application software. It is important to realize that the survey question was not what languages were used to create your applications, but rather what languages are used for new application development. So the base could have a lot more diverse and a higher numerical distribution of compilers and interpreters than this data implies. I don’t think this is the case, but it probably averages more like 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 have 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 rise and that is probably happening as fewer and fewer shops use Windows Server for application and Web serving and more shops go native. That the native Apache Web server has only 40 percent penetration tells you what those Windows Server that remain are doing. It is a mix of print, file, Web, and application serving plus a healthy 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 steady rise, and the Git versioning tool is finding its own level, too.
What we can’t know from the first five surveys and what we would like to know in the sixth next year is what percentage of RPG is being coded in the modern free form style that is more like what Java does and what percentage is still using the older school, more tightly constrained older RPG model. My guess is that for new code, it is probably as high as half and half, and that is reflected in the fact that about have 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 have RDi say they are using it for all of their application development, about a third say it is around half and half, and a third say it is less than half. Average that out and it is averaging around half of the applications at half of the companies surveyed are done using RDi, which implies free form RPG.RELATED STORIES
The IBM i Base Did Indeed Move On Up
The IBM i Base Is Ready To Move On Up
Investment And Integration Indicators For IBM i
Security Still Dominates IBM i Discussion, HelpSystems’ 2018 Survey Reveals
The IBM i Base Not As Jumpy As It Has Been
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
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Finding IBM i: A Game Of 40 Questions
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IBM i Marketplace Survey Fills In The Blanks
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