Cisco 500-215 : SP Mobility Technology Systems Engineer Representative Exam

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Exam Number : 500-215
Exam Name : SP Mobility Technology Systems Engineer Representative
Vendor Name : Cisco
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500-215 exam Format | 500-215 Course Contents | 500-215 Course Outline | 500-215 exam Syllabus | 500-215 exam Objectives


Exam Details
The VMware vSAN 6.7 Specialist exam 2019 (5V0-21.19) which leads to VMware Specialist – vSAN 2020 badge, is a 60-item exam, with a passing score of 300 using a scaled method. Candidates are given an appointment time of 120 minutes, which includes five-minute seating time and adequate time to complete the exam for non-native English speakers. actual exam time is 115 minutes

VMware exam blueprint sections are now standardized to the seven sections below, some of which may NOT be included in the final exam blueprint depending on the exam objectives.
Section 1 – Architecture and Technologies
Section 2 – Products and Solutions
Section 3 – Planning and Designing
Section 4 – Installing, Configuring, and Setup
Section 5 – Performance-tuning, Optimization, and Upgrades
Section 6 – Troubleshooting and Repairing
Section 7 – Administrative and Operational Tasks
If a section is missing from the list below, please note it is because the exam has no testable objectives for that section. The objective numbering may be referenced in your score report at the end of your testing event for further preparation should a retake of the exam be necessary.
Sections Included in the Exam
Section 1 – vSAN Architectures and Technologies
Objective 1.1 – Describe vSAN requirements
Objective 1.2 – Demonstrate how vSAN stores and protects data
Objective 1.3 – Define vSAN space efficiency features
Objective 1.4 – Define vSAN stretched cluster architecture requirements
Objective 1.5 – Compare the architectural requirements of a vSAN 2-node cluster and a stretched cluster
Section 2 - Planning and Designing – There are no testable objectives for this section
Section 3 - Planning and Designing a vSAN Solution
Objective 3.1 – Define and demonstrate vSAN design considerations
Objective 3.2 – Design a vSAN cluster
Objective 3.3 – Use vSAN design and sizing tools
Objective 3.4 – Explain interoperability with vSphere features
Objective 3.5 – Define which VMware solutions integrate with vSAN
Section 4 – vSAN Installation, Configuration, and Setup
Objective 4.1 – Configure and validate a vSAN configuration
Objective 4.2 – Create and manage disk groups
Objective 4.3 – Configure and validate vSAN services
Objective 4.4 – Configure vSAN stretched cluster and 2-node configurations
Section 5 – Performance-tuning, Optimization, and Upgrades – There are no testable objectives for this section
Section 6 – Troubleshooting and Repairing a vSAN solution
Objective 6.1 – Identify failure scenarios
Objective 6.2 – Interpret vSAN Health warnings
Objective 6.3 – Determine vSAN Health using vSphere Host Client, ESXCLI, and RVC
Objective 6.4 – Evaluate performance information in the UI and using CLI
Objective 6.5 – Manage hardware replacement
Section 7 – vSAN Administrative and Operational Tasks
Objective 7.1 – Create, update, and modify vSAN policies and apply to objects
Objective 7.2 – Describe vSAN data placement changes
Objective 7.3 – Interpret vSAN capacity terms
Objective 7.4 – Evaluate vSAN performance metrics
Objective 7.5 – Describe effects of maintenance mode options
Objective 7.6 – Explain how to add capacity to a vSAN cluster
Objective 7.7 – Patch or upgrade a vSAN cluster
Objective 7.8 – Describe the operational characteristics/differences between vSAN 2-node architecture and stretched cluster
Objective 7.9 – Explain encryption processes
Objective 7.10 – Explain how to utilize TRIM and UNMAP from vSAN and guest perspective



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Cisco Engineer Question Bank

Debunking the fantasy of cloud repatriation | 500-215 Latest syllabus and Free exam PDF

Cloud repatriation is a time period frequently used by using expertise agencies that don’t function a public cloud. The advertising narrative most typically implies that purchasers have moved work to the general public cloud and, for plenty of reasons – rate, efficiency, security – are disenchanted with the cloud and subsequently are “repatriating” workloads back to their protected, relaxed and competitively priced on-premises information center.

youngsters we don't have any doubt this does once in a while occur, the facts indicate that here is a minor, single-digit phenomenon.

Some have written in regards to the repatriation fable, however during this Breaking analysis, we’ll share hard information from ETR and different sources that we consider debunks the repatriation narrative as it’s at the moment being promoted. We’ll additionally take this probability to do our quarterly cloud update and share our latest figures for the huge four cloud providers.

The evolving cloud

Let’s birth by using acknowledging that the definition and concept of cloud is completely evolving and, in this feel, a great deal of the seller advertising is valid. In specific, no longer is cloud a distant set of faraway capabilities that lives “up there in the cloud.” Cloud is more and more fitting a ubiquitous, sensing, thinking, appearing set of supplies that touches almost every aspect of our lives.

The cloud is approaching-premises to an information center near you, and work is being finished to connect clouds to each and every different whereas the cloud is additionally extending to the near and much part. The bromide “The cloud isn't a place, it’s an working mannequin” is fitting truth.

these days’s cloud isn't just compute, storage, connectivity and spare means. increasingly it’s plenty of functions to investigate data, predict and anticipate alterations, display screen and interpret streams of information, and observe desktop intelligence to records to optimize enterprise results, together with tooling to share facts, protect statistics, visualize records and produce data to existence, helping a new breed of innovative applications.

word a theme? records. more and more, the cloud often, and Amazon web capabilities Inc.’s S3 and different object retailers especially, are the everyday place the place a lot of information lives from a variety of sources. Now, that data may well be coming from on-prem programs, however the cloud is the place corporations more and more go to keep, analyze and share facts since the cloud providers have the choicest systems for records.

here's a part of why the repatriation narrative is doubtful: since the extent of statistics in the cloud is growing to be at fees faster than data on-prem – as a minimum through 2000 groundwork elements yearly by means of our estimates. So cloud statistics is the place an awful lot of the data motion is going on, notwithstanding that loads of transactions nevertheless occur on-prem.

The side is the brand new Wild West of tech. We’ll focus on edge in a moment as a result of that gifts a huge chance.

but a new period of utility construction is rising with containers at the middle. The theory of “write as soon as, run anyplace,” in concept, permits developers to take expertise of techniques comparable to transaction systems that run on-prem and faucet statistics from distinctive sources in a lot of areas, in clouds and on the edge. combined with the mammoth, inexpensive processing power we’ve discussed in old episodes, a new breed of apps powered by using AI is hitting the market.

this is not a zero-sum online game. The large cloud companies have given the realm an infrastructure reward by spending like loopy – greater than $a hundred billion in capital spending final year, as an example. In our view, the gamers that don’t personal a cloud should stop being so defensive about it, thank the hyperscalers and lay out a imaginative and prescient of how they're going to create a new abstraction layer on right of the general public cloud.

And that’s what they’re doing and may all claim to be actively working on, however consider the pace of play between the hyperscalers and the ordinary on-prem suppliers. We agree with the innovation hole is widening– which means the general public cloud gamers are accelerating their innovation lead and may one hundred% compete for hybrid applications. and that they have the substances, developer affinity, customized silicon advantage and total obtainable market enlargement dreams that loom enormous.

So although it’s no longer a 0-sum video game, and hybrid is really true, we feel the cloud companies proceed to gain share most rapidly, until the on-prem crowd can circulation faster.

Now, of direction, there’s the aspect and that’s a wildcard. nonetheless it seems that again, the cloud players are neatly-positioned to innovate with customized silicon, programmable infrastructure, capex buildouts at the side and new considering around systems architectures.

Cloud adoption has tracked other fundamental applied sciences

You hear many advertising and marketing messages that name into question the public cloud. At its recent think conference, IBM Corp. Chief executive Arvind Krishna observed that simplest about 25% of workloads had moved into the general public cloud. And he made the remark that this might surprise you – implying you might consider it’s a lot bigger.

We aren't surprised with the aid of that determine, mainly if you slender it to mission-crucial work, which IBM does in its annual record. Regardless, we feel there are alternative routes to measure adoption.

The chart above from David Moschella’s ebook “Seeing Digital” suggests the adoption prices for essential improvements during the last century and the variety of years it took to get to 50% household adoption. electrical energy took a long time, as did telephones, with the want for ultimate-mile infrastructure. Radios and TVs had been a whole lot sooner given the reduce infrastructure necessities. personal computer systems really took a very long time and the internet round nine years from when the Mosaic browser changed into brought.

We took a stab on the bottom of the chart, estimating the tempo of adoption of public cloud, and inside a decade it reached 50% adoption in properly organisations. these days that figure is with ease north of ninety%.

commercial enterprise cloud adoption drives big increase for the public cloud

We’ve up to date our quarterly cloud figures and share the effects beneath.

The chart above shows our latest estimates for the big four cloud avid gamers, with updated Alibaba Cloud figures in keeping with its salary file from can also 13 after the market close. These ultimate figures are commonly in accordance with the preliminary projections we conveyed within the video under, which was recorded previous to Alibaba’s income unencumber. Alibaba’s March-quarter increase quotes came in somewhat decrease than we anticipated but didn't materially alternate these figures.

be aware, AWS and Alibaba report exceedingly clear infrastructure-as-a-service figures, so we use survey facts, neighborhood input and economic evaluation to estimate the genuine numbers for Microsoft Corp.’s Azure and Google Cloud.

in the first quarter of 2021, we estimate that the large 4 IaaS and platform-as-a-provider salary approached $27 billion, as proven within the highlighted column. That figure represents about 40% boom relative to Q1 2020. So our trailing-12-month calculations put us at $94 billion and we’re now on a roughly $108 billion run fee. As you may keep in mind, we’ve anticipated that determine will surpass $one hundred fifteen billion by using 12 months end when it’s all observed and achieved.

AWS continues to be the leader among the big 4 with just over half the market, down from about sixty three% for the complete yr 2018. truly, as we’ve suggested, Microsoft is far and wide out there and continues to operate mainly smartly. Anecdotally, shoppers and partners in our community proceed to report to us that the fine of the AWS cloud is fairly improved when it comes to reliability and overall protection. however it doesn’t appear to alternate the trajectory of the proportion actions as Microsoft’s software dominance makes doing company with Azure actually handy.

big 4 cloud profits starting to be at 40% annually

Let’s dig into growth rates associated with these revenue figures and make some specific comments. The chart under indicates the boom trajectory for each of the huge 4:

Google trails the pack in income however is becoming quicker than the others from a smaller base. Google is being very aggressive on pricing and client acquisition. Google should grow faster, in our view, and it most certainly can come up with the money for to be aggressive.

As we brought up, mixed the large 4 are starting to be earnings at forty% on a trailing-12-month basis and that compares with low single-digit boom for on-prem infrastructure. And we don’t see that delta altering in the close- to mid-term. Like storage increase, income for the large public cloud avid gamers is anticipated to outpace spending on traditional on-prem platforms by way of as a minimum 2000 groundwork aspects for the foreseeable future.

curiously, however AWS is growing to be extra slowly than the others, from a plenty greater $fifty four billion run price, we in reality noticed sequential quarterly growth in Q1 from AWS, which breaks a two-yr fashion where AWS’ Q1 growth expense dropped sequentially from its this autumn. AWS became the most effective member of the massive four to display accelerated sequential revenue increase rates.

At AWS, we’re additionally gazing the altering of the take care of, with Andy Jassy becoming CEO of Amazon usual, Adam Selipsky boomeranging lower back to AWS from a extremely successful stint at Tableau application Inc., and Max Peterson taking up AWS Public sector, replacing Teresa Carlson, who is now president heading go-to-market efforts at Splunk Inc. So there are lots of adjustments at AWS and we feel these alterations really are a real high-quality for AWS as it promotes from inside, faucets old Amazon DNA from Salesforce/Tableau and strikes the pinnacle of AWS to run all of Amazon. That’s a sign to us that Amazon will dig in its heels and further withstand calls to break up AWS from the mothership.

Demand-side facts tells an even enhanced story

Digging in a little greater to this repatriation theme, the salary numbers don’t tell the whole story, so it’s value drilling down a little. Let’s look on the demand aspect of the equation and pull in some ETR survey facts.

To set this up, we wish to explain a fundamental system used via ETR around its internet ranking metric as proven above. net ranking measures spending momentum and assesses 5 elements as proven on this wheel chart. It depicts the breakdown of spending for the AWS cloud.

specifically, the approach measures the percentage of valued clientele inside a platform that are doing certainly one of here: 1) adopting the platform new – that’s the lime eco-friendly in the chart; 2) expanding spend through greater than 5% – that’s the woodland green; three) leaving spending flat plus or minus 5% – the grey; 4) reducing spend with the aid of 6% or more – the pink; or 5) replacing the platform that’s the bright purple. Dare we say the brilliant red is a proxy for or at least a hallmark of… repatriation?

internet rating is derived by way of subtracting the reds from the greens. anything else above 40% is regarded through us to be multiplied. AWS is at 57% – so very excessive and not plenty sign of leaving the cloud nest. We know it’s nuanced and you'll make argument for nook instances of repatriation, but the numbers simply don’t undergo out the narrative.

comparing AWS and a few other providers

The chart under strains up the internet rating granularity for AWS, Microsoft, Google, IBM and Oracle Corp.:

apart from AWS and Google, these figures encompass the total portfolio for each business, however let’s make an assumption that cloud defections are reduce than the usual portfolio typical. So just stare at the pink bars for a moment. The three cloud avid gamers display 1%, 2% and 3% substitute, respectively.

however IBM and Oracle, while nonetheless in the single digits, display especially better replacement quotes, and meaningfully lessen new adoptions within the lime eco-friendly. As neatly, the “spend extra” in the woodland green is plenty bigger within the cloud agencies and the “spend much less” in the red is specially decrease for the cloud carriers.

and you'll see the pattern sizes on the righthand facet of the chart — many lots of and greater than 1,300 in the case of Microsoft. If we put Hewlett Packard commercial enterprise Co. or Dell applied sciences Inc. on the chart, it could seem similar to IBM and Oracle, where you have higher reds, an even bigger fat core of gray and lessen vegetables. It’s simply the way it's for mature companies with massive on-prem exposure, and it shouldn’t shock any individual.

They’re in reality quite good. simply now not well-nigh as captivating relative to cloud performs. So if shoppers are repatriating, there’s little facts within the ETR data.

check and dev is not repatriation

We trust one scenario of what’s basically occurring is that provider advertising and marketing people are speakme to clients purposefully spinning up verify and dev work in the cloud, with the intent of running a workload or portions of the workload on-prem. And after they stream into construction, they’re counting that as “repatriation.” and they’re taking liberties with the information to inject worry, uncertainty and doubt into the market.

good enough, that’s fair online game, but that’s definitely not repatriation. That’s experimentation or sandboxing or trying out and deving. It’s not “I’m leaving the cloud since it’s too high priced or less comfortable or doesn’t operate for me.” We’re no longer asserting that doesn’t occur, nevertheless it’s not at all seen in the numbers as a meaningful vogue that should aspect into purchasing choices.

Now we completely recognize that organizations can’t just refactor their entire application portfolios into the cloud and migrate. We also admire that carry-and-shift with out a change in operating mannequin is not the most beneficial approach. And actual migrations take six months to 2 years. I used to have these conversations with my colleague Stu Miniman all of the time and that i spoke to him these days about these tendencies. i wanted to peer if his six months at crimson Hat/IBM had changed his pondering on all this, and the reply became no.

however he did throw a bit crimson Hat Kool-aid my manner, asserting the way they consider in regards to the cloud blueprint is from a developer perspective. delivery via containerizing apps after which the devs don’t should consider about where the apps are living – within the cloud, on prem, on the side. in accordance with Miniman, pink Hat’s compelling value prop is OpenShift is an open supply and designed particularly as an application building platform that brings consistency of operations for builders, operators, admins, the safety team and so on.

and might be used with every other platform – that's, you don’t must lock into one more platform and produce that far and wide with you. There’s a strong story there and this is how Krishna plans to win the architectural battle for hybrid cloud.

Of direction, VMware Inc. can additionally present Tanzu as a building platform — and reasonably priced americans can debate the pluses and minuses of VMware’s open-supply-“aligned” versus pink Hat’s strategy.

Stacking up the cloud avid gamers

The chart under shows one among our favourite ETR views, plotting web score or spending speed on the vertical axis and Market Share or pervasiveness within the statistics set on the horizontal axis:

The red shaded area is what we name the “hybrid zone,” and above the dotted purple line at 40% is where the elite reside. the rest above forty% net ranking we agree with multiplied. the rest to the right of 20% on the horizontal axis implies robust market presence.

by way of these key performance warning signs, it’s definitely a two horse race between AWS and Microsoft. As we recommended, Google nevertheless has a lot of work to do and if it’s buying market share, that’s a delivery– buy extra, we are saying. Alibaba is proven in the higher lefthand nook – excessive spending momentum however from a small pattern dimension because ETR’s China respondent level is an awful lot lessen than within the U.S., Europe and relaxation of APAC.

The hybrid zone is pleasing. The data in our view gives credence to an extra narrative from the noncloud-possessing companies – namely that no longer every little thing will stream into the general public cloud and the world is hybrid. over the last a few quarters we’ve seen this hybrid zone performing neatly. Examples include VMware Cloud on AWS, VMware Cloud, which might consist of VCF, and Dell’s cloud – which is heavily according to VMware.

We superimposed pink Hat OpenShift, which lives in the container bucket within ETR’s taxonomy. pink Hat leads with OpenShift in all of its cloud discussions and is in all probability most pleasing given its ubiquity. that you would be able to see it’s very highly multiplied on the internet ranking axis, correct there with all of the public cloud guys. purple Hat is the Switzerland of cloud, which in our view puts it in a extremely potent place.

after which there’s a pack of agencies hovering around the 20% vertical axis stage that are hybrid. notice that OpenStack really has presence in telcos building their personal clouds. HPE, Oracle and IBM are also proven.

primarily, IBM’s place in cloud just tells you the way crucial the purple Hat acquisition is to IBM’s future. devoid of pink Hat, IBM could be a long way much less entertaining in cloud and would have an awful lot greater constrained developer affinity.

Oracle is Oracle and in fact has one of the crucial strongest hybrid stories within the trade within its own little – or not so little – world of the purple Stack.

HPE is on the radar and we’ll see how the large GreenLake as-a-provider pricing will influence its momentum within the cloud class.

bear in mind the definition of cloud here is anything the consumer says it's. So if a primary guidance officer says we’re buying cloud from HPE or IBM or Cisco or Dell or whomever, we take her or his be aware for it. And that’s the way it works. Cloud is within the eye of the purchaser.

so that you have the cloud increasing into the domain of on-premises and the on-prem guys finally getting their proverbial act in conjunction with hybrid that they’ve been talking about because 2009 but it appears like it’s finally fitting actual. And that crowd is correct, you’re not going to migrate everything into the cloud.

however, the hyperscalers are in a very powerful position. they're on the boom flywheel. They each and every have adjoining agencies which are records-primarily based, disruptive and dominant. they're profitable the facts wars. and that they have the leg up in enterprise AI in our view, regardless of that space nevertheless being vast open.

Who leads in commercial enterprise AI?

we will all agree that artificial intelligence is critical, correct? computing device intelligence is being infused into each utility. today a great deal of the AI work is being carried out within the cloud as modeling, but sooner or later we see AI relocating to the aspect and precise-time inference as a dominant workload. And that’s what makes the longer term so fascinating as a result of, combined with the aspect, it’s the brand new Wild West.

So who today has the momentum in AI?

The chart above uses the equal XY construct with net ranking in opposition t Market Share. And appear who has the dominant intellect share and spending momentum: Microsoft, AWS and Google. which you could see within the table insert within the reduce appropriate they are the handiest three in the information set of 1,500 respondents which have more than a hundred N – and AWS and Microsoft are around 200 or more. And their internet ratings are all improved above the 60% degree. be aware that 40% red line indicates the high elevation mark, so the hyperscalers have both the market presence and the spend momentum.

They’re now not alone – there are a number of businesses above the forty% line. Databricks Inc. is bringing AI and records science to the world of information lakes with its managed capabilities. Salesforce.com Inc. is infusing AI into its platform by the use of Einstein.

Anaconda is type of the gold commonplace platform for data science and you can see C3.ai Inc. is Tom Siebel’s enterprise going after enterprise AI. DataRobot Inc., which like C3.ai has a small pattern of the facts set, is highly expanded. They simplify computer studying.

Now IBM Watson is basically doing good enough. bound we’d want to see it larger considering the fact that former CEO Ginni Rometty just about bet IBM’s future on Watson, however has an honest presence and a decent web ranking. And IBM owns a cloud, so at least it’s a player – now not the dominant one many had hoped for when Watson beat Ken Jennings in Jeopardy 10 years ago, however it’s in the combine.

And Oracle is now stepping into the video game… adore it always does – watching, waiting, investing in analysis and construction and then diving in and making noise adore it invented the concept. Oracle is infusing AI into its database with autonomous Database and information warehousing and seem – that’s what Oracle does. It applies best-of-breed trade ideas to make its items improved. You ought to supply Oracle credit score – it invests in precise tech and it runs probably the most mission-essential apps on the earth. Hate them in case you need, however they’re No. 1 in the most elaborate commercial enterprise workloads.

comply with the money: comparing clouds in the Fortune 500

Let’s take another view of the cloud gamers and see how they stack up the place the big spenders live within the Fortune 500:

The chart above shows net ranking over time in the F500. AWS is notably pleasing because its web score average is in the excessive 50% latitude, however during this large, massive-spender sector, AWS’ web ranking jumps especially to nearly 70%. this is a powerful indication that AWS has momentum now not simplest with small agencies and startups, however the place it really counts from a income standpoint – in the largest businesses. We believe that’s a positive signal for AWS in terms of protecting its market momentum and continuing to grow its company.

Put a wrap on cloud repatriation

The realities of cloud repatriation are clear in our view: corner cases exist, however’s now not a style to take to the financial institution.

although many public cloud users might also believe about repatriation, most will now not act on it. those that do are the exception, now not the rule and the ETR data indicates that.

check and dev in the cloud is part of the cloud working model, notwithstanding the app will subsequently are living on-prem. That’s not repatriation. That’s just sensible development follow.

no longer every workload will or may still live in the cloud. Hybrid is actual and the big cloud avid gamers comprehend it. and they’re positioning to deliver their stacks on-prem and to the facet. We believe they presently have certain merits regarding momentum, developer affinity, engineering materials, capital, custom silicon investments and TAM expansion incentives. but there’s lots of room for others to innovate if they invest within the right places and build amazing ecosystems.

however, despite the possibility of lock-in, larger capabilities monthly expenses and considerations over manage, the hyperscalers are neatly-placed to compete.

To win in hybrid, the legacy companies need to include the cloud and build on exact of the giants and add price the place clouds aren’t, can’t or won’t. They must locate locations where they could circulation faster than the hyperscalers — and up to now, they haven’t proven a transparent ability to do this.

ways to be in contact

let us know what you feel. remember these episodes are all accessible as podcasts anywhere you listen. email david.vellante@siliconangle.com, DM @dvellante on Twitter and comment on our LinkedIn posts.

additionally, check out this ETR Tutorial we created, which explains the spending methodology in additional detail. be aware: ETR is a separate enterprise from Wikibon and SiliconANGLE.  if you would like to cite or republish any of the enterprise’s statistics, or inquire about its services, please contact ETR at criminal@etr.ai.

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