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Exam Number : HPE2-E72
Exam Name : Selling HPE Hybrid Cloud Solutions
Vendor Name : HP
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HPE2-E72 exam Format | HPE2-E72 Course Contents | HPE2-E72 Course Outline | HPE2-E72 exam Syllabus | HPE2-E72 exam Objectives


Exam ID : HPE2-E72
Exam Name : Selling HPE Hybrid Cloud Solutions
Exam type : Web based
Exam duration : 1 hour 15 minutes
Exam length : 50 questions
Passing score : 70%

Complete the training and review all course materials and documents before you take the exam.
Exam items are based on expected knowledge acquired from job experience, an expected level of industry-standard knowledge, or other prerequisites (events, supplemental materials, etc.).
Successful completion of the course alone does not ensure you will pass the exam.
Read this HPE exam Preparation Guide and follow its recommendations.
Visit HPE Press at https://hpepress.hpe.com for additional reference materials, study guides, practice tests, and HPE books.
To study for the exam it is recommended that you get and review the course study materials at the link provided in the course Resources section. The link will take you to HPE Press. You will be prompted to get an e-reader of your choice so you can get and view the content. The e-reader and course study materials are free of charge.

Digital Transformation and Trends 12%
Explain the challenges customers face in completing their digital transformation
Describe the technologies companies are using to complete their digital transformation
Explain how customers are changing the way they pay for IT and consume services to achieve their desired business outcomes

Consultative selling 13%
Engage your customers with a value-oriented approach and the business value framework (BVF)
Explain why your customers should trust HPE with providing hybrid cloud solutions

Delivering Everything as a Service 25%
Use appropriate discovery questions to uncover customers needs for HPE GreenLake
Identify customer characteristics that indicate an opportunity for HPE GreenLake
Describe the value of HPE GreenLake
Qualify customers for HPE GreenLake based on their business drivers
Identify and overcome barriers and objections by recognizing key differentiators with HPE GreenLake

Delivering a Cloudlike Experience 25%
Use appropriate discovery questions to uncover customers needs for solutions that deliver a cloudlike experience on-premises
Identify customer characteristics that indicate opportunities to sell HPE hybrid cloud solutions
Describe the business value of HPE hybrid cloud solutions
Qualify customers for HPE software-defined solutions based on their business drivers
Identify and overcome barriers and objections by recognizing HPEs key differentiators in software-defined solutions for Hybrid IT

Delivering an Intelligent Data Platform 25%
Use appropriate discovery questions to uncover customers needs for intelligent storage
Identify customer characteristics that indicate an HPE Intelligent Data Platform opportunity
Describe the business value of HPE Intelligent Data Platform
Qualify customers for HPE Intelligent Data Platform based on their business drivers
Overcome objections by recognizing HPEs key differentiators for intelligent storage



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HP HPE exam Questions

checking out in creation comes out of the shadows | HPE2-E72 exam Questions and PDF Braindumps

For enterprise trying out corporations, the area of utility building is just a little akin to the area of legalized marijuana. There’s a announcing within the criminal pot world: “Out of the shadows and into the gentle.” here is used to describe the style clients of illegal weed are now in a position to come out of hiding and discuss their utilization in public without worry of reprisal.

So, too, is it with trying out in production. It’s been happening for years, many years even. And yet the conception of speakme about testing in production in entrance of the businesspeople, the operations crew, and the CIO looked like insanity.

(connected: Don’t let trying out cease your agility)

trying out in production, the ordinary knowledge went, meant that the QA group had failed in its goals before shipping. If the exams have been run in creation, why weren’t they run before creation? Why didn’t this get accomplished all over construction?

In actuality, however, it’s extremely tricky to check each state of affairs, every theory, each possible enviornment of code brittleness should you’re below a time limit. Even colossal organisations commonly struggle to get all their tests accomplished earlier than delivery.

And yet, here's no longer the precise thrust of the checking out in construction movement. Frankly, it’s extra about extending the trying out beyond development, as opposed to about grabbing greater time for exams that weren’t already run.

testing in creation is greater in regards to the latest landscape of software construction than it is about overlaying one’s rear, or about hiding issues from those bigger up. as a substitute, it’s endemic to the upward push of capabilities, APIs and under no circumstances-ending building efforts.

In a world of microservices, cloud-based purposes and the web of things, testing in creation isn’t simply a good suggestion—it’s the only method you could get things finished. testing environments will go with the flow from the production environment, users will encounter unforeseen behaviors, and clouds that don't seem to be beneath your direct handle will journey outages and service degradation.

without testing in region, these forms of problems will run rampant. Even worse, they won’t circulate critical tips back to the building crew, removing the all-crucial feedback loop between QA and development.

John Jeremiah, know-how evangelist and lead of the HPE Digital analysis crew, said that he’s relieved checking out in construction is finally being pointed out in the open. “I don’t think it’s a new idea through any stretch of the creativeness. Calling it ‘checking out in production’ is only being more sincere about what occurs in fact. My history is as an utility developer and task chief. very nearly anytime I’ve long gone reside with a system, I’ve certainly not been capable of complete all of the checking out they wanted to do. They reached a milestone where they had to ship, and they were at a degree of suited chance, so they went live,” he noted.

“We may additionally no longer have referred to they were checking out in production as a result of that turned into unacceptable, but the truth is they were paying very shut consideration to the equipment where they idea they had possibility,” referred to Jeremiah.

He brought that testing in construction regularly brings efficiency and cargo testing into the forefront. “Our load and efficiency trying out are the foundations of their approach to how they aid americans with DevOps. What they seek advice from as continuous assessment is set understanding how an software is delivering enterprise price to users,” he spoke of.

“It’s about having insight into what’s happening to users, and giving that info again to the product team to be able to reply. here's the primary principle in DevOps. It’s about quick, excessive-constancy feedback to the development crew so that you can iterate and react.

“here is no longer new to what they do,” spoke of Jeremiah. “The problem individuals struggle with is the thought that you’re going to enable whatever thing it truly is aside from perfect to attain the conclusion users. nevertheless it’s about being honest. The different aspect that’s happened is they all started to recognize there’s a great quantity of issues they will study by means of listening to clients. net groups have achieved this for years with A/B testing. they are all unwitting individuals in an experiments every time they log into facebook.”

what's ‘trying out in creation’?What, then, does trying out in production basically suggest? Does it entail any tremendous divergence from usual trying out of the practical, acceptance, smoke, load and efficiency necessities? Or does this new world of microservices and APIs require that everything is demonstrated in both construction and creation? Does testing ever cease? It’s a difficult world out right here in the sunlight.

Tom Lounibos, CEO of SOASTA, found out checking out in creation years in the past, essentially unintentionally.

“We have been working a check for TurboTax eight or nine years in the past. once they run these tests, it doesn’t count the place the examine is running. They really gave us the target to verify and they had been testing it, ramping up to 200,000 virtual concurrent users on this application. Then they hear the voice of God over the phone in this conference room say, ‘Are you running a efficiency check on the production website?’ They had five guys around the table and they all backed away from the table and observed ‘Oh my God! We’re checking out a creation server,” he recalled.

“We realized that testing in a lab in the back of a firewall is variety of ridiculous within the internet era. that you could’t replicate the information superhighway in the back of the firewall. Add in dependencies on third-birthday celebration services and it’s inconceivable. The simplest real real way of trying out these days is in construction. Seventy % of their load checking out is carried out in creation at this time.”

trying out. checking out everywhereThings have truly modified on earth of checking out. Antony Edwards, CTO of TestPlant, referred to, “Three years in the past no person ran test scripts towards creation programs, however now they have many shoppers ‘checking out in production.’ I bear in mind the primary time someone came to us with a ‘trying out in creation’ requirement (although they didn’t call it that). It began as a very awkward call with us now not understanding every different as a result of operations guys and look at various guys use diverse terminology. eventually I requested them to attract a diagram for us on the whiteboard and abruptly all of it grew to become clear. We’re a great deal stronger speakme to operations teams now.”

those initial communications difficulties don't seem to be fairly long gone, either. “however ‘checking out in creation’ ability different things to diverse americans,” Edwards pointed out. “For some people it capacity working your verify scripts at all times against the are living system as a more sophisticated form of monitoring; but these americans are still checking out pre-creation as smartly. For other americans it capability simplest checking out in creation, i.e. now not truly trying out, just deploying adjustments straight after coding (probably to best a small percentage of users) and seeing in the event that they whinge. It’s entertaining that the identical time period is being used to describe what I’d believe to be very mature, and extremely immature, testing.”

Tim Pettersen, senior developer at Atlassian, noted that communique issues will also be alleviated by utilizing correct life-cycle tools. “checking out and edition manage are tightly intertwined. The most effective follow is to construct and test your code as quickly because it’s pushed by way of a developer,” he observed.

Ian Buchanan, developer recommend at Atlassian, mentioned, “this is a place the place ecosystem stuff helps. at once, neither Bamboo nor Bitbucket Pipelines are themselves verify tools: You run tests from them. which you could kick off the builds in a look at various grid with something like Sauce OnDemand for Bamboo, then outsource to a check carrier that may look at various throughout browsers or across dissimilar mobile gadgets.”

Adrian Cockroft, technology fellow at Battery Ventures and former cloud architect at Netflix, is partly liable for popularizing the up to date approach to utility design. below his watch at Netflix, the business deployed Chaos Monkey, a tool that randomly destroys on-line servers, making certain techniques are resilient adequate to contend with this type of situation.

“I suppose what’s truly happening most these days is the growth of microservices as an architectural sample. all of the monitoring carriers are now booth monitor-compliant: they all have microservices guide on their customer. Microservices damage the app into small pieces. You need to have a map of these items. You deserve to do conclusion-to-end tracing, like the OpenTracing undertaking,” said Cockroft.

He went on to state that “On precise of that, the pieces are altering normally. You don’t have one edition of the gadget; it’s altering every day, or many times a day within the severe instances. for those who’re attempting to figure out what broke in the gadget, the critical part is to have a fine line to the code to work out what broke.”

risky businessBryce Day, CEO of seize application, observed that getting to trying out in construction requires an strategy according to possibility assessment. “checking out always gets squeezed. It’s at all times that ambulance at the backside of the pile. You might also beginning with a month to do checking out, and it always gets squeezed right down to two weeks. It’s tough to head to administration to assert ‘We’ve got 1,000 checks, they need time to do all of them,’” he stated.

Day stated that administration doesn’t keep in mind some arbitrary variety of assessments. quite, it knows possibility. “To alternate the dialog, say ‘What’s the possibility profile you’re happy to have?’ If it’s a prototype, might be I’m happy with 50% chance. Then you can put first-rate assurance instructions across that project. For a vastly risky task, you may have simplest a 5% tolerance. In agile, knowing where to allocate supplies early is a key element,” he referred to.

possibility may also be without problems taken into account whether it is regarded early. “The other facet is individuals are assigning chance to the requirements and studies, and that they’re inserting little to no emphasis on the frequency of the procedures going through,” spoke of Day. “So risk is the impact instances, the probability of occurrence. in case you look at HP, you have risk assigned to the have an impact on side. if you’ve achieved your whole look at various circumstances, your possibility is mitigated. They take a extra holistic view. For a infrequent prevalence look at various case, why would they test that earlier than a conventional examine case for a medium risk?”

Wayne Ariola, chief strategy officer of Parasoft, also feels that a chance-based mostly approach to checking out can support with trying out in construction. “as a result of agile and more iterative building patterns, people have concentrated from a backside-up standpoint: ‘Are they closing out their consumer experiences associated with trying out?’ What they’re asking is, ‘Are you finished with a role?’ They need to ask a distinct question: ‘Is the possibility linked to the free up candidate applicable?’” he stated.

“It’s a massive transformation. They should have in mind what this software affects. If it’s down, if it’s breached, what's the real influence to the business? Most groups moving toward continuous birth are starting to understand this is quite interesting. throughout the board, we’re seeing the largest complaint is that the monolithic infrastructure and overhead linked to managing IBM or HP verify suites don't seem to be allowing them to obtain their agile or continuous start targets.”

however HPE’s Jeremiah doesn’t feel that adding numeric risk monitoring to a testing platform is very effective. He stated that it’s difficult to get clients to input the required tips. fairly, he noted, building in predictive analytics is the secret to fitting greater agile.

“people had been attempting to do chance-based mostly checking out for 20 years,” said Jeremiah. He’s long heard of “the conception of prioritizing necessities with the company, and the have an effect on if it doesn’t work, and [this can be used to figure out risk].

“In my journey, it’s totally difficult to get americans to head during the method of assessing the possibility and giving in reality good enter into it. frequently, you come to be with out an outstanding unfold. It ends up being very labor-intensive, and lots of times it in no way is a success, and they battle with doing it.”

Jeremiah advocated for an automatic strategy using machine studying to be aware dangers and concerns earlier than they ensue. He pointed out HPE is “providing algorithm insight to grasp what they can recognize in regards to the statistics in the device. It’s going to aid teams make improved selections. It’s trying to take the unreliable risk assessment state of affairs, take that out of the equation, and supply people the perception they want so they could make more desirable choices.”

on the end of the day, bringing trying out in production out of the shadows and into the easy is all about organising methods and a formal strategy, in its place of simply more suitable the way to cover those assessments operating all through open hours. here is becoming par for the course as further and further purposes count on third-birthday party APIs for essential performance. This difficulty turns into even more problematic when your clients are adding their personal content material to your website at a steady pace.

Lubos Parobek, vp of items at Sauce Labs, pointed out that dynamic sites make for a greater complex trying out sequence. “yet another element we’ve seen is a few customers have very dynamic websites where clients themselves may be adding content or making modifications,” he observed.

“In many ways all of the adjustments aren’t in the handle of whoever is coding the website. In these circumstances they wish to make it so no one can smash it, however they want to perpetually run assessments so when there are alterations,” issues are caught early, stated Parobek.

just how does that get done? He stated developers shouldn’t reproduction tests for creation use. He pointed out that he “would in reality glance through your set of useful look at various circumstances and examine which of these are the important ones: those you want to take time to determine always. next is how commonly do you want assess that? It may be you don’t push alterations regularly, so you simply assess in case you installation. Or it could be loads of changes happen all the time. maybe it makes feel to run these every 5 minutes.”

IBM’s optimum practicesGlyn Rhodes, product supervisor of IBM Cloud, mentioned that most appropriate practices for checking out in production are a new technique to make certain steadiness, however he also stated that now not each business is able for it.

“It’s crucial to respect that only certain testing disciplines are commonly proper for execution in production,” he said in an e-mail to SD instances. “One would seldom execute integration testing in construction, as an example, as a good basis that faithfully represents the expertise stack is a prerequisite for creation checking out.

“As ever, all of it comes down to chance. possibility during this case can suggest just a few various things: An IBM consumer that creates security-important software is terribly not going to risk it; there are legal guidelines and rules to take note of. The strategy is also most desirable served by means of a construction atmosphere that be managed, segregated and manipulated at the touch of a button. Cloud and automatic deployment play a key half in helping testing to ‘shift correct.’ average production environments drastically increase the risk associated with testing in construction.

“for example, performance trying out is an appropriate discipline—assuming the correct risk profile. within the accurate previous, this intended baselining, then checking out outside of business hours and consequently manually resetting your environments after every run. Painful stuff. Cloud management and automatic deployment tools will aid velocity up this procedure, but they don’t fundamentally exchange the possibility profile.”

Rhodes has a more artistic strategy to checking out in creation, besides the fact that children. “A greater artistic approach is available in the variety of the dark Launch. using this system, an IBM customer launches new performance across a subset of customers/infrastructure,” he referred to. “This makes it possible for them to not best control the possibility profile of testing in production, but it extends the kinds of testing that can be completed. A/B checking out provides remarks on favorite performance, and one also can expect a level of acceptance testing to be completed in these instances. once self assurance has been based, the alterations are rolled out additional.”

So while many businesses may already be trying out in construction, the circulation presently gaining ground in the market isn’t about simply blindly doing so. quite, it’s about including checking out in production to the commonplace toolbox and treating it like an expert job, as an alternative of a sneaky thing you’re only able to do when the workplace is empty.

suggestions of thumb for trying out in productionAccording to TestPlant’s Edwards, “The great thing about trying out in production is that it’s convenient so as to add and it’s tough to go too wrong. Key issues to take into account:

believe the burden you are placing to your servers. if your servers can deal with 1,000 concurrent clients and run close to capability at height times, don’t run 200 tests on the equal time. it can sound unlikely that you’d run 200 checks at the same time, but trying out in creation is often concerned about compatibility (e.g. making sure your web page is working on all models of Firefox, Chrome, and so forth.), and so it’s basically quite handy to birth hitting this variety of concurrent tests.

accept as true with the variations you need to verify. as soon as people are in a position to easily run tests in construction in opposition t distinctive customer versions (e.g. windows eight.1 with Chrome 51.0), they could go just a little overboard. You likely don’t deserve to examine 10 different types of Chrome. I’d customarily recommend that individuals study their viewers and check the environments that cowl ninety five% of their clients.

in a similar fashion, believe the checks you need. it would seem intuitive that more is stronger, but I’ve viewed corporations drown themselves in verify results in order that when a key user circulate isn’t working, it gets misplaced within the noise.

In a microservices/cloud structure, you deserve to:

• Have well-defined APIs in your capabilities. not simply the syntax but the semantics.

• verify these APIs. plenty. satisfied path, sad direction, and never-bound path.

• Load verify your services. be aware of once they’ll spoil, because every provider will at last damage.

• check end to end, i.e. from the customer utility.

I believe too many people are skipping the ultimate step at the present time. There seems to be an angle that through checking out each and every individual component you no longer should verify the device. I from time to time use the analogy of a vehicle: It’s like testing the engine, the brakes, the wheels, and the like one after the other, however certainly not basically testing if the automobile can drive.”


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