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Test Number : C9510-401
Test Name : IBM WebSphere Application Server Network Deployment V8.5.5 System Administ
Vendor Name : IBM
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C9510-401 test Format | C9510-401 Course Contents | C9510-401 Course Outline | C9510-401 test Syllabus | C9510-401 test Objectives


Exam Title : IBM Certified System Administrator - WebSphere Application Server Network Deployment V8.5.5 and Liberty Profile
Exam ID : C9510-401
Exam Duration : 120 mins
Questions in test : 65
Passing Score : 58%
Official Training : WebSphere Application Server V8.5.5 Administration
Exam Center : Pearson VUE
Real Questions : IBM WebSphere Application Server Network Deployment and Liberty Profile System Administration Real Questions
VCE practice questions : IBM C9510-401 Certification VCE Practice Test

Architecture
- Identify the components and services in a WebSphere Application Server configuration and describe how they are related or interact.
- Design various WebSphere Application Server topologies, for example, flexible management, intelligent management, mixed platform topology, network deployment cells, Liberty collectives, and ODR.
- Analyze appropriate design considerations when architecting topologies to achieve security, scalability, performance and fault tolerance.
- Demonstrate an understanding of how requests traverse various WebSphere Application Server topologies.
- Demonstrate an understanding of the administration activities for a network deployment cell including the flexible management components.
- Identify and describe the components of the WebSphere Application Server Liberty profile. 11%
Product Installation, Configuration and Maintenance
- Demonstrate an understanding of the IBM Installation Manager and IBM Packaging Utility and its role in installing, configuring, and maintaining WebSphere application servers and components both locally and remotely.
- Perform a silent installation process for WebSphere Application Server and fix pack installations.
- Perform pre and post installation verification.
- Troubleshoot installation problems.
- Create and manage Full and Liberty profiles.
- Manage nodes in a WebSphere topology, for example, managed, unmanaged nodes, flexible management and network deployment cell.
- Backup and restore configuration including the use of checkpoints. 15%
Application Management (Assembly, Deployment and Configuration)
- Explain the structure of enterprise applications, web applications, and business level applications.
- Deploy applications to a WebSphere Application Server environment.
- Configure resources, for example, data sources, JNDI, class paths, J2C providers, as required by an application.
- Use the IBM Rational Application Developer for WebSphere Software or the IBM WebSphere Application Server Developer Tools for Eclipse to examine and manipulate applications.
- Demonstrate an understanding of the administrative tasks required to take an application deployed to the Liberty profile and deploy it in a WebSphere Application Server Network Deployment environment. 9%
Administrative Tools
- Illustrate the usage of the Integrated Solutions Console (ISC) and its various tools (e.g., command assistance, runtime messages).
- Use the standard set of command line administrative tools such as wsadmin, profile management and plug-in generation.
- Use the capabilities of the Job Manager tooling including the submission of Liberty profile jobs.
- Use scripting to perform administrative tasks, for example, scripting libraries, ws_ant, wsadmin
- Write, test, and debug scripts by using the IBM Rational Application Developer for WebSphere Software or the IBM WebSphere Application Server Developer Tools for Eclipse.
- Configure or modify a WebSphere Application Server environment by using properties files and/or the monitored directory feature. 14%
Security configuration and Maintenance
- Configure user repositories.
- Configure SSL for clients and servers, for example, create certificates, populate trust stores and modify certificate expiration.
- Discuss the implications of resource security settings.
- Implement multiple security domains.
- Apply administrative and application security roles.
- Configure different authentication and authorization mechanisms, including SSO.
- Configure Java Enterprise, Liberty, Web and Web Services Security. 14%
Clustering and Workload Management
- Configure clusters in workload management topologies.
- Configure and manage the HTTP server and the web server plug-in.
- Configure distributed session management for high availability and failover scenarios, including the WebSphere eXtreme Scale option.
- Configure messaging engine policies for clustered service integration bus (SIBus) members.
- Configure high availability using core groups.
- Utilize the capabilities of the Liberty collectives. 9%
Intelligent Management and Resiliency
- Use the dynamic cluster elasticity feature.
- Create and configure On Demand Routers (ODR) and the ODR plug-in and associated service policies to enable the dynamic operations.
- Use health policies and actions to monitor and react to changing performance in the environment.
- Configure and maintain application editions. 6%
Performance Monitoring and Tuning
- Use the Tivoli Performance Viewer (TPV) to monitor the WebSphere Application Server runtime.
- Use the Tivoli Performance Viewer (TPV) Advisor and the Diagnostic Advisor to obtain advice on performance issues.
- Tune parameters, for example JVM settings, connection pools, thread pools, that affect WebSphere Application Server performance.
- Use the Performance Monitoring Infrastructure (PMI) metrics and poll MBeans for performance data.
- Configure and monitor the WebSphere Application Server caching mechanisms.
- Configure multi-cell performance management. 11%
Problem Determination
- Enable High Performance Extensible Logging (HPEL) and view HPEL data.
- Enable Cross Component Trace (XCT) and view trace data in XCT Log Viewer.
- Use tools to trigger and analyze heap dumps, javacore dumps, system core dumps and verbose Garbage Collection (GC).
- Configure diagnostic tracing.
- Use "mustgather" documentation and/or the IBM Support Assistant to collect and analyze diagnostic data or submit data to IBM Support.
- Configure, review and analyze log files for example, First Failure Data Capture (FFDC), system logs, native logs. 11%



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The Hyperion-insideHPC Interviews: Steve Conway on the critical of AI Ethics and Why ‘Hardware Is convenient, utility Is tough’ | C9510-401 test dumps and Questions and Answers

Steve Conway of business analyst company Hyperion analysis is a kind of technologists with the rare ability for speakme complicated technology in a simple, understandable method. in this interview, he makes use of that ability to survey the history of HPC and think about what’s forward for the industry.  In his view, the simultaneous convergences of HPC within the enterprise, along with HPC and AI, offer first-rate opportunities for the business – but best if AI ethics is addressed critically. He additionally talks about the rise in system expense tags even as can charge per FLOPS drops, the rise of “indigenous know-how actions” in China, Japan and Europe, and the growing to be calls for on utility as HPC shifts to a extra cloud-like workflow view.

during this replace…. From the HPC consumer discussion board steerage Committee

by way of Jean Sorensen and Thomas Gerard

After the international pandemic pressured Hyperion research to cancel the April 2020 HPC user discussion board planned for Princeton, New Jersey, they decided to reach out to the HPC community in an additional way — with the aid of publishing a collection of interviews with participants of the HPC consumer forum steerage Committee. Their hope is that these professional leaders’ views on HPC’s previous, current and future should be enjoyable and advisable to others. To behavior the interviews, Hyperion analysis engaged insideHPC Media. They welcome comments and questions addressed to Steve Conway, sconway@hyperionres.com or Earl Joseph, ejoseph@hyperionres.com.

This interview is with Steve Conway, senior advisor for HPC market dynamics at Hyperion analysis. He produces opinion pieces, studies and experiences on the global HPC market, primarily within the areas of AI and excessive efficiency facts evaluation, cloud computing, side computing and the IoT.

Steve works carefully with executive companies, business and academia, and the seller community in North the united states, Europe and Asia. He changed into vice president of investor relations and company communications for Cray and had administration roles at SGI and CompuServe. earlier, Steve had a 12-12 months career in institution instructing and administration at Boston institution and Harvard university.

A former Senior Fulbright Fellow, he holds bachelor’s and master’s degrees in German from Columbia college and a grasp’s in comparative literature from Brandeis university, the place he additionally completed doctoral coursework and tests.

He turned into interviewed by Dan Olds, HPC and big records advisor at Orionx.internet.

The HPC person forum was established in 1999 to advertise the fitness of the world HPC business and handle issues of regular situation to users. more than seventy five HPC user forum meetings had been held in the Americas, Europe and the Asia-Pacific place given that the corporation's founding in 2000.

Dan Olds: Dan Olds right here on behalf of Hyperion research and insideHPC. We’re going to have an interview with Steve Conway, who has had a storied career in HPC. So, how did you get involved with HPC within the first area?

Steve Conway: My work in faculty and grad school become in literature, but I labored with computers plenty, starting with a night job as a device operator for an IBM 360 machine at an insurance company. At a later job, i used to be a device administrator for a mini-computer multi-user gadget, so i used to be always attracted to computers.

Olds: And, yet, you had been taking literature courses?

Conway: sure, I majored in literature and minored in physics, so i used to be drawn to science, too. Then, I had a consulting job where Cray analysis became certainly one of my very essential customers. So, I got thinking with HPC when Cray hired me and that i wound up as head of communications and investor members of the family for the enterprise.

Olds: Ah, ok. What kind of consulting tasks were you doing with Cray returned within the day?

Conway: earlier than I joined Cray as an worker, it become every little thing from employee surveys to speakme to all of their investors and financial analysts and trade analysts to work out how americans saw the company in order that the company, which become in fact becoming speedy at that point, could figure out how to steer well through this growth.

Olds: And doing, likely, rather a little of schooling, too, because computers and supercomputers weren’t that neatly regular again then, had been they?

Conway: on occasion I essential to be an evangelist for HPC in an outward direction, however at the equal time i used to be being informed via others within the company and within the HPC group.

Olds: So, what did you do after Cray?

Conway: well, Cray obtained offered to SGI and when that came about, on account of the position i used to be in, i used to be dealing with investor family members and all those issues, the adult in that job leaves. So, I knew I had to depart and that i went into early information superhighway agencies as an exec with a company referred to as CompuServe, after which i was a specialist to AOL in its heyday.

and then Cray grew to be unbiased inside SGI for ages, then impartial completely, and that i agreed to rejoin to support with the restart, in particular helping the CEO to entice and preserve relationships with investors.

Olds: I remember those days. i was a part of that transition from Cray to SGI, however I’m part of the piece that went to sun.

Conway: I be aware that. I worked very closely with all the individuals in Beaverton (Oregon) at Superservers, which changed into formally known as the Cray business Division. That division became sold to solar and the gadget morphed into the E10000 that turned into an immense success for sun. It was readily the fastest company desktop on earth then.

Olds: So, how did you get into the trade analyst game?

Conway: When Cray begun up once again I had my very own consulting enterprise, so i used to be variety of working as an analyst and that i instructed the new Cray that i'd work there for 2 years and i worked there, to the day, exactly, for 2 years after which bought hired by using IDC as an trade analyst. IDC spun off its HPC crew in 2017 and they grew to be Hyperion research.

Olds: You understand at IDC and, of path, at Hyperion, you guys definitely have set the regular for what HPC market analysis and fashion analysis may still be.

Conway: well, you recognize, there have been a few us, a few of us went on to different things. each Addison Snell and Chris Willard have been colleagues and actually helped develop the HPC company at IDC before they went off on their own. There are different people who aren't any longer with us but are doing a great job for the HPC neighborhood.

Olds: however it’s somewhat an organization and methodology that you simply’ve constructed there. Over your years, what had been one of the greatest changes that you’ve seen in HPC?

Conway: smartly, I think the biggest alternate is the growth of the dimension of this market. In what some americans bear in mind because the “golden era” of supercomputing, up during the early ninety’s, when the rivals were Cray, IBM, Fujitsu, Hitachi, and NEC, the whole market with every little thing thrown in (hardware, application, servers, guide, everything) was price about $2 billion worldwide. In 2019, it turned into $28 billion, and we’re forecasting it’s going to move to $43 billion with the aid of 2024, no longer counting possibly another $7 or so billion in cloud utilization and not reflecting the have an impact on of the virus epidemic. So, this could be a $50 or 51 billion market in a couple years. So, that’s one big change.

an additional large change is the techniques themselves. They was once these proprietary monoliths. They’ve turn into plenty greater modular, specifications-based mostly and heterogeneous, and that’s allowed the market to democratize and extend. without that, I don’t suppose it will have basically as an awful lot. It’s also advanced from sort of a niche, government-managed market to a a great deal greater mature stage where it's a commercial market pushed by industrial market forces and, for the vast majority of americans, that’s a fine thing. Legacy stuff all the time gets left in the back of however, even for government, that’s a a good deal healthier issue. The other element is the sizes of the programs have gotten so huge and the expenditures as neatly. It was that $30 million bought you the largest supercomputer you may perhaps buy. That new Fugaku system, that’s #1 on the proper 500, that simply got here out is one thousand million-dollar contract all advised.

Olds: smartly, and it’s doubtless going to can charge greater than $30 million simply to vigour the component, or it’s going to be a huge quantity.

Conway: I think the other massive element that’s occurring here is that finally, after a lot of work by means of lots of individuals, governments around the globe have identified that HPC is not just for science nevertheless it’s essential for financial competitiveness. That cognizance is what has allowed all these big sums to be made accessible for exascale systems. then again, it’s also resulted in the disruption of the market – the indigenous expertise actions in China, Japan and Europe – because if it’s so strategic the international locations don’t are looking to be reliant on international carriers, so there’s this huge push to strengthen indigenous deliver chains and technologies. within the brief term, that’s disruptive; within the future, if it goes right, then there ought to be extra competitors and selection available in the market.

Olds: exactly, and also you additionally examine, and that i consider you alluded to this, HPC leaving the lab and going into the enterprise data core as well.

Conway: absolutely. That begun very slowly about 10 years ago and it truly, really picked up momentum. They music hundreds of businesses that have adopted HPC for the first time. there is a vital distinction here – they don't seem to be speaking concerning the automobile and aerospace organizations which are bringing HPC into HPC information facilities for upstream R&D. this is for live, downstream, company operations like income, advertising, HR, that form of aspect. They’re adopting HPC as a result of business server know-how via itself can’t do it anymore in these huge global companies. The enterprise server know-how stays there within the facts center but HPC receives built-in into it at very key decision facets where very speedy responses are necessary to very complex questions.

Olds: large quantity of statistics, very short execution time because they're making selections off of it in precise time, virtually. So, it is terribly critical to have the performance.

Conway: sure, a lot of corporations they speak with used to produce studies from all their branches all over as soon as a month. Now they should do it 5 - 6 times a day to stay competitive.

Olds: Yeah, it’s outstanding. You know what can be unique? It’s type of spurred me from of your past remarks: if someone ever computed out what the cost-to-the-customer per flop has achieved due to the fact that, say, 1980 to now.

Conway: I believe we, as a minimum, used to do this. I don’t comprehend if we’ve executed it precisely lately, but they have the ability to do this quite simply.

Olds: as a result of even with a $1 billion gadget the cost of performance per unit should be manner, means down. I imply, it must be losing exponentially over the years, i would believe.

Conway: it is. part of that, of direction, is the adoption of normal technologies for loads of what happens in HPC. in order that reduces the cost, it expands the market as a result of every person can use the stuff and the programming is the same. however now that’s sort of altering because, as you recognize, the market is now fitting, in a great way, plenty extra heterogenous with the technologies, but additionally the issues that it’s tackling are getting extra heterogeneous. And we’re seeing the architectures, after a few decades where issues became increasingly compute-intensive however not so fantastic for facts, we're seeing the more moderen architectures come out which are designed to assist data-intensive work much greater efficaciously as neatly.

Olds: So, that’s a good springboard to their subsequent query: the place do you see HPC moving into the following few

years?

Conway: well, it’s already going there. It’s pushing into AI or AI is pushing into it. I’d say business is pushing into HPC, on the stage of the giant global businesses, anyway. There’s quantum computing. There’s also the dance between on-premises and cloud computing that’s occurring. All of these boundaries are starting to soften down. It’s form of like, “resistance is futile.” You really don’t want to face up to what’s inevitable, although there’s all the time some of that. but the workflows that these systems should tackle, the spectrum of forms of work is starting to be incredibly and that’s challenging from a system design standpoint, difficult from a programming standpoint, but that’s the place it’s going, find it irresistible or not.

Olds: I additionally see more, I believe, heterogeneity in techniques with distinctive forms of accelerators, radically different sorts of accelerators in some instances, distinctive designs. It was a large surprise to me to see that Fugaku turned into all CPUs. No accelerators. but then I may likely demonstrate you a listing of fifty or 60 businesses, big and small, which are inserting together their personal accelerators.

Conway: neatly, HPC is transferring to a workflow view which is greater cloud-like. It’s not the identical as cloud microservices, however’s greater cloud-like. So what we’re seeing is architectures that are being designed to help, let’s say, an on-premise workflow that might ought to go through 20 different very lightweight containers. each one in all them has to very at once bring together distinct hardware, software, and even storage resources. A workflow may move through 20 of these in a really brief length of time.

So, consider about what they have all the time pointed out in HPC, and type of mean this jokingly, “hardware is effortless, software is hard.” So, the application continues to be the most difficult part of HPC.

Olds: yes. So, what has you, if anything else, concerned in regards to the way forward for HPC?

Conway: Two issues: one, that this indigenous move all over might get to be too nationalistic or regionalistic and collaboration could undergo subsequently. I don’t consider to be able to happen, but in the brief term I consider there will be a few of that. The different part that’s of path concerning and primarily as a result of I’ve been focusing a lot on AI is what Stephen Hawking expressed very well – that this may go in two other ways. That this may be a extremely, very decent aspect or it can be a not very good factor. I’m involved that the ethical facet of AI and all of the rest of that should not addressed sufficiently, that the momentum of the market will overtake those considerations. That can be a protracted-time period issue.

Olds: That can be a really huge difficulty. And it’s complicated to say how that issue is stopped once it receives going.

Conway: I suppose there were some very good examples. Germany, in 2016, came out with the first national legislation for governing computerized motors. They spent two years on that and they had non secular people and ethicists involved. Who is aware of the way it’ll work in practice? They don’t have entirely computerized vehicles yet, however that’s kind of the way to go. I suppose China looked at what Germany did and is kind of headed in that course. but we’ll see.

Olds: So, last question: what has you most enthusiastic about HPC in the future?

Conway: What at all times has had me essentially the most excited, and it’s no longer the techniques – they’re tools like hammers and screwdrivers. It’s what occurs when this gear gets into the fingers of probably the most world’s brightest, most inventive americans: scientists, engineers, information-analysts, and so on. That’s always the half that has excited me most. I’m paid to take into account anything concerning the methods, however what’s exciting is truly what americans do with them.

Olds: astonishing. neatly, thank you so a great deal for the time Steve, this has been a desirable study HPC and your roots and the place you feel issues are going. thank you.

Conway: thank you, Dan. and i also need to provide a huge shout-out to my buddy and former colleague prosperous Brueckner.


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