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HP HPE2-E70 : Selling the Value of HPE Hybrid IT Solutions Exam

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Exam Number : HPE2-E70
Exam Name : Selling the Value of HPE Hybrid IT Solutions
Vendor Name : HP
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HPE2-E70 test Format | HPE2-E70 Course Contents | HPE2-E70 Course Outline | HPE2-E70 test Syllabus | HPE2-E70 test Objectives

Exam ID : HPE2-E72
Exam type : Web based
Exam duration : 1 hour 15 minutes
Exam length : 50 questions
Passing score : 70%
Delivery languages Russian, Korean, Japanese, German, French, Brazilian Portuguese, English, Castilian Spanish
Supporting resources These recommended resources help you prepare for the exam:
Selling HPE Hybrid Cloud Solutions, Rev. 19.41

This test tests your ability to identify potential HPE customers and validate and qualify opportunities by engaging customers in strategic IT conversations. It tests your ability to uncover business needs and qualify customers for HPE hybrid cloud solutions.

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 test Preparation Guide and follow its recommendations.

12% Digital Transformation and Trends
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

13% Consultative selling
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

25% Delivering Everything as a Service
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

25% Delivering a Cloudlike Experience
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

25% Delivering an Intelligent Data Platform
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 test Questions

checking out in production comes out of the shadows | HPE2-E70 test Questions and test Questions

For business trying out groups, the area of application development is a bit of comparable to the area of legalized marijuana. There’s a saying within the felony pot world: “Out of the shadows and into the mild.” here is used to explain the way clients of unlawful weed are actually capable of come out of hiding and talk about their usage in public with out fear of reprisal.

So, too, is it with trying out in creation. It’s been occurring for years, a long time even. And yet the thought of talking about trying out in construction in entrance of the businesspeople, the operations group, and the CIO gave the impression of madness.

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

trying out in creation, the natural knowledge went, meant that the QA team had failed in its desires before transport. If the checks have been run in creation, why weren’t they run earlier than production? Why didn’t this get completed all the way through development?

In certainty, however, it’s extraordinarily complicated to look at various each state of affairs, each concept, every viable area of code brittleness for those who’re beneath a closing date. Even colossal organisations frequently combat to get all their exams executed earlier than delivery.

And yet, this is now not the precise thrust of the testing in creation circulation. Frankly, it’s more about extending the checking out past construction, in place of about grabbing extra time for assessments that weren’t already run.

checking out in construction is extra concerning the latest landscape of software building than it is set covering one’s rear, or about hiding issues from those better up. as an alternative, it’s endemic to the rise of capabilities, APIs and on no account-ending development efforts.

In a world of microservices, cloud-based purposes and the web of things, testing in production isn’t simply a good suggestion—it’s the most effective way you can get things done. testing environments will float from the production ambiance, users will come upon unexpected behaviors, and clouds that are not beneath your direct handle will adventure outages and repair degradation.

without testing in place, these styles of complications will run rampant. Even worse, they received’t pass essential assistance returned to the construction team, disposing of the all-important feedback loop between QA and development.

John Jeremiah, expertise evangelist and lead of the HPE Digital analysis group, mentioned that he’s relieved trying out in construction is eventually being pointed out within the open. “I don’t suppose it’s a brand new conception with the aid of any stretch of the creativeness. Calling it ‘trying out in construction’ is only being greater sincere about what occurs in reality. My historical past is as an utility developer and undertaking leader. just about anytime I’ve gone reside with a device, I’ve not ever been capable of finished all of the testing they wanted to do. They reached a milestone the place they had to ship, and they had been at a stage of acceptable chance, so they went reside,” he observed.

“We may additionally no longer have noted they were testing in construction as a result of that became unacceptable, but the reality is they have been paying very close attention to the equipment the place they notion they had chance,” observed Jeremiah.

He delivered that checking out in production commonly brings performance and cargo trying out into the forefront. “Our load and efficiency trying out are the foundations of their strategy to how they support americans with DevOps. What they check with as continual evaluation is set realizing how an software is offering business price to clients,” he referred to.

“It’s about having perception into what’s going on to users, and giving that info returned to the product team in an effort to reply. here is the simple principle in DevOps. It’s about speedy, excessive-constancy feedback to the building crew so they can iterate and react.

“this is not new to what they do,” pointed out Jeremiah. “The problem individuals combat with is the concept that you’re going to enable something that is other than perfect to attain the conclusion users. nonetheless it’s about being honest. The other aspect that’s took place is they begun to know there’s a very good quantity of issues they can learn via taking note of clients. net teams have finished this for years with A/B checking out. we're all unwitting members in an experiments each time they log into fb.”

what is ‘testing in creation’?What, then, does testing in production in reality suggest? Does it entail any big divergence from ordinary trying out of the practical, acceptance, smoke, load and efficiency requirements? Or does this new world of microservices and APIs require that everything is demonstrated in both building and creation? Does testing ever stop? It’s a perplexing world out right here in the sunlight.

Tom Lounibos, CEO of SOASTA, found trying out in creation years in the past, just about by chance.

“We have been working a check for TurboTax eight or 9 years ago. after they run these exams, it doesn’t count number the place the test is operating. They actually gave us the goal to test and they have been trying out it, ramping up to 200,000 digital concurrent users on this software. Then they hear the voice of God over the mobile in this conference room say, ‘Are you operating a efficiency verify on the production site?’ They had five guys across the desk and all of us backed away from the table and talked about ‘Oh my God! We’re trying out a creation server,” he recalled.

“We realized that testing in a lab in the back of a firewall is variety of ridiculous in the net era. that you may’t replicate the information superhighway behind the firewall. Add in dependencies on third-birthday celebration functions and it’s unattainable. The most effective real true means of testing these days is in production. Seventy p.c of their load trying out is carried out in construction at the moment.”

testing. checking out everywhereThings have really changed on earth of checking out. Antony Edwards, CTO of TestPlant, pointed out, “Three years ago no one ran look at various scripts against production programs, but now we've many valued clientele ‘testing in construction.’ I bear in mind the first time somebody got here to us with a ‘trying out in production’ requirement (notwithstanding they didn’t call it that). It begun as a very awkward name with us not realizing every other as a result of operations guys and verify guys use distinct terminology. finally I requested them to attract a diagram for us on the whiteboard and all of sudden it all grew to become clear. We’re lots improved talking to operations teams now.”

these initial communications difficulties aren't reasonably long gone, either. “however ‘testing in production’ capacity different things to distinctive individuals,” Edwards noted. “For some americans it ability running your check scripts at all times against the live equipment as a extra subtle kind of monitoring; however these people are still checking out pre-creation as well. For other americans it capacity best testing in creation, i.e. now not truly checking out, simply deploying changes straight after coding (probably to only a small percent of clients) and seeing if they complain. It’s enjoyable that the identical term is being used to describe what I’d agree with to be very mature, and extremely immature, testing.”

Tim Pettersen, senior developer at Atlassian, said that communication issues may also be alleviated through the use of correct existence-cycle tools. “testing and edition control are tightly intertwined. The most beneficial observe is to build and check your code as quickly because it’s pushed by way of a developer,” he referred to.

Ian Buchanan, developer suggest at Atlassian, referred to, “here is a spot the place ecosystem stuff helps. at once, neither Bamboo nor Bitbucket Pipelines are themselves check tools: You run exams from them. which you could kick off the builds in a look at various grid with whatever like Sauce OnDemand for Bamboo, then outsource to a examine carrier that can examine throughout browsers or across distinctive cell devices.”

Adrian Cockroft, expertise fellow at Battery Ventures and former cloud architect at Netflix, is partly answerable for popularizing the up to date method to application design. under his watch at Netflix, the enterprise deployed Chaos Monkey, a device that randomly destroys on-line servers, guaranteeing techniques are resilient sufficient to deal with one of these situation.

“I feel what’s really happening most these days is the boom of microservices as an architectural sample. all the monitoring vendors are actually sales space reveal-compliant: all of them have microservices guide on their client. Microservices spoil the app into small items. You deserve to have a map of those items. You deserve to do conclusion-to-end tracing, just like the OpenTracing venture,” talked about Cockroft.

He went on to state that “On accurate of that, the items are changing perpetually. You don’t have one version of the gadget; it’s altering day by day, or again and again a day within the intense cases. should you’re trying to determine what broke within the system, the essential part is to have a first-rate line to the code to figure out what broke.”

risky businessBryce Day, CEO of trap software, observed that attending to testing in construction requires an approach in keeping with possibility evaluation. “checking out always receives squeezed. It’s at all times that ambulance at the bottom of the pile. You may also birth with a month to do trying out, and it all the time receives squeezed down to two weeks. It’s tough to move to administration to claim ‘We’ve received 1,000 tests, they want time to do all of them,’” he observed.

Day stated that administration doesn’t be aware some arbitrary number of assessments. quite, it is aware chance. “To change the conversation, say ‘What’s the possibility profile you’re satisfied to have?’ If it’s a prototype, might be I’m chuffed with 50% chance. Then you could put high-quality assurance instructions throughout that mission. For a vastly risky project, you could have most effective a 5% tolerance. In agile, knowing the place to allocate substances early is a key part,” he stated.

risk may also be easily taken into account whether it is considered early. “The other side is individuals are assigning possibility to the necessities and stories, and they’re inserting little to no emphasis on the frequency of the strategies going through,” spoke of Day. “So possibility is the influence instances, the probability of prevalence. in case you study HP, you have possibility assigned to the affect facet. in case you’ve performed all of your check situations, your risk is mitigated. They take a more holistic view. For a infrequent prevalence examine case, why would they check that sooner than a well-known examine case for a medium possibility?”

Wayne Ariola, chief method officer of Parasoft, also feels that a chance-primarily based strategy to trying out can aid with checking out in creation. “because of agile and greater iterative development styles, americans have concentrated from a bottom-up point of view: ‘Are they closing out their consumer reports linked to trying out?’ What they’re asking is, ‘Are you performed with a role?’ They ought to ask a different query: ‘Is the possibility associated with the liberate candidate suitable?’” he pointed out.

“It’s a enormous transformation. They should have in mind what this application influences. If it’s down, if it’s breached, what's the authentic affect to the enterprise? Most businesses moving towards continuous start are beginning to recognize this is somewhat unique. throughout the board, we’re seeing the biggest criticism is that the monolithic infrastructure and overhead associated with managing IBM or HP verify suites don't seem to be allowing them to achieve their agile or continual delivery targets.”

however HPE’s Jeremiah doesn’t believe that including numeric chance tracking to a trying out platform is terribly constructive. He talked about that it’s problematic to get users to enter the mandatory assistance. reasonably, he observed, constructing in predictive analytics is the secret to becoming more agile.

“americans were attempting to do chance-based mostly trying out for two decades,” stated Jeremiah. He’s lengthy heard of “the conception of prioritizing requirements with the company, and the impact if it doesn’t work, and [this can be used to figure out risk].

“In my experience, it’s extremely tough to get americans to head throughout the technique of assessing the risk and giving basically respectable enter into it. regularly, you turn out to be with out a good spread. It ends up being very labor-intensive, and loads of instances it by no means is a hit, and they combat with doing it.”

Jeremiah recommended for an automated method the use of computing device learning to be aware dangers and considerations before they ensue. He talked about HPE is “featuring algorithm insight to grasp what they will understand about the information within the system. It’s going to assist teams make better selections. It’s making an attempt to take the unreliable chance assessment state of affairs, take that out of the equation, and provides individuals the perception they need so they can make more suitable selections.”

on the end of the day, bringing checking out in production out of the shadows and into the mild is all about organising methods and a proper strategy, as a substitute of just superior easy methods to cover those assessments operating right through open hours. this is becoming par for the direction as further and further applications depend on third-party APIs for crucial performance. This problem becomes even more complex when your clients are including their personal content material to your website at a steady tempo.

Lubos Parobek, vp of items at Sauce Labs, stated that dynamic sites make for a extra advanced testing sequence. “another factor we’ve considered is a few consumers have very dynamic web sites the place clients themselves can be adding content material or making changes,” he mentioned.

“In some ways all of the alterations aren’t in the manage of whoever is coding the web site. In these situations they are looking to make it so no person can smash it, however they are looking to continually run assessments so when there are alterations,” complications are caught early, stated Parobek.

just how does that get carried out? He mentioned developers shouldn’t reproduction checks for creation use. He noted that he “would truly look through your set of functional check situations and investigate which of those are the vital ones: the ones you need to take time to determine constantly. subsequent is how frequently do you desire assess that? It may be you don’t push changes frequently, so that you simply investigate if you set up. Or it may be a lot of alterations turn up the entire time. maybe it makes feel to run these every five minutes.”

IBM’s highest quality practicesGlyn Rhodes, product manager of IBM Cloud, talked about that optimal practices for trying out in production are a brand new way to make sure stability, however he also cited that no longer each enterprise is competent for it.

“It’s critical to respect that handiest certain testing disciplines are commonly correct for execution in construction,” he said in an e-mail to SD times. “One would seldom execute integration testing in production, as an example, as a sturdy foundation that faithfully represents the expertise stack is a prerequisite for construction testing.

“As ever, all of it comes down to possibility. chance during this case can imply a number of different things: An IBM client that creates protection-essential application is terribly not going to possibility it; there are legal guidelines and rules to keep in mind of. The approach is additionally greatest served with the aid of a production atmosphere that be managed, segregated and manipulated on the contact of a button. Cloud and automated deployment play a key half in helping trying out to ‘shift right.’ ordinary construction environments tremendously boost the risk associated with checking out in creation.

“for example, performance trying out is a suitable discipline—assuming the correct chance profile. in the fresh past, this meant baselining, then testing outside of company hours and due to this fact manually resetting your environments after every run. Painful stuff. Cloud management and automatic deployment tools will support speed up this system, however they don’t basically trade the risk profile.”

Rhodes has a more creative method to testing in production, youngsters. “A more artistic method comes in the variety of the dark Launch. the usage of this system, an IBM client launches new functionality throughout a subset of shoppers/infrastructure,” he mentioned. “This allows for them to not best manage the possibility profile of testing in production, nevertheless it extends the types of testing that may be accomplished. A/B trying out gives feedback on preferred performance, and one can also expect a degree of acceptance testing to be performed in these cases. as soon as self belief has been dependent, the changes are rolled out extra.”

So whereas many businesses may already be checking out in production, the move at present gaining ground available in the market isn’t about just blindly doing so. rather, it’s about adding trying out in construction to the ordinary toolbox and treating it like an expert job, as an alternative of a sneaky element you’re best able to do when the workplace is empty.

rules of thumb for testing in productionAccording to TestPlant’s Edwards, “The great thing about testing in production is that it’s effortless to add and it’s complicated to head too incorrect. Key things to take into account:

accept as true with the weight you're inserting to your servers. in case your servers can tackle 1,000 concurrent users and run close to means at height instances, don’t run 200 assessments on the equal time. it could actually sound not going that you just’d run 200 checks at the equal time, but trying out in creation is regularly concerned about compatibility (e.g. making certain your site is working on all types of Firefox, Chrome, etc.), and so it’s actually fairly convenient to start hitting this variety of concurrent checks.

agree with the editions you deserve to test. once individuals are capable of with ease run assessments in production against diverse customer versions (e.g. home windows 8.1 with Chrome 51.0), they can go a little bit overboard. You doubtless don’t should check 10 distinct models of Chrome. I’d typically advocate that americans study their viewers and test the environments that cowl ninety five% of their users.

in a similar fashion, believe the tests you need. it would seem intuitive that extra is enhanced, however I’ve considered groups drown themselves in test results in order that when a key person move isn’t working, it receives lost in the noise.

In a microservices/cloud architecture, you need to:

• Have well-described APIs for your capabilities. now not just the syntax but the semantics.

• check these APIs. a great deal. happy path, unhappy direction, and never-bound path.

• Load look at various your functions. be aware of when they’ll ruin, as a result of each carrier will at last damage.

• look at various conclusion to conclusion, i.e. from the client utility.

I consider too many people are skipping the ultimate step this present day. There appears to be an angle that with the aid of checking out each individual part you not should test the equipment. I from time to time use the analogy of a motor vehicle: It’s like checking out the engine, the brakes, the wheels, and the like separately, but on no account truly trying out if the car can force.”

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