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Test Number : PR000005
Test Name : Data Quality 9.x Developer Specialist
Vendor Name : Hortonworks
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PR000005 test Format | PR000005 Course Contents | PR000005 Course Outline | PR000005 test Syllabus | PR000005 test Objectives


You may select from one or more response offerings to answer a question.
You will score the question correctly if your response accurately completes the statement or answers the question. Incorrect distractors are given as possible correct answers so that those without the required skills and experience may wrongly select that choice.
A passing grade of 70% is needed to achieve recognition as an Informatica Certified Specialist (ICS) Data Quality Developer v9.x.
You are given 90 minutes to complete the exam. Test formats used in this test are:
• Multiple Choice: Select one option that best answers the question or completes the statement
• Multiple Response: Select all that apply to best answer the question or complete the statement
• True/False: After reading the statement or questions select the best answer

Data Quality Developer 9.x, Specialist Certification
About the ICS Data Quality Developer test and the Skill Set Inventory
This test measures your competency as a member of a project implementation team. This involves having an in-depth knowledge of each of the Data Quality processes from Profiling to Standardization, Matching and Consolidation. You need to be able to select and configure the appropriate Data Quality transformation for your requirements and build, debug and execute Data Quality mappings as well as integrate mappings into Power Center.
The skill set inventory is used to guide your preparation before taking the exam. It is an outline of the technical courses and subject areas that are covered in each exam. The skill set inventory includes test domain weighting, test objectives and topical content. The courses and concepts are included to clarify the test objectives.
Test takers will be tested on:
• Their ability to navigate through the Developer Tool
• Use of Project Collaboration techniques; shared Tags, Comments, Profiles, reference tables to share information with Analysts
• Using a variety of profiling methods to profile data
• The use of Analyst built profiles to develop mappings
• Build mappings and mapplets to cleanse and standardize data
• Perform Address Validation
• Identifying duplicate records in a dataset
• Automatically and manually consolidating duplicate records to create a master record
• Execution of mappings/mapplets in PowerCenter
• Deployment of Data Quality Mappings in an Excel spreadsheet (connect to Web Services)

Title % of Test
Informatica Overview 10%
Analyst Collaboration 10%
Profiling 15%
Standardization/Mapplets 10%
Address Validation 5%
Matching 10%
Consolidation and the DQA 10%
Integration with PowerCenter 5%
Object Import and Export 5%
DQ for Excel 5%
Parameters 5%
Content 10%

Test Topics
The test will contain 70 questions comprised of courses that span across the sections listed below. In order to ensure that you are prepared for the test, review the subtopics with each section.
Informatica Overview
• Describe the Informatica 9 architecture and set up including the repositories required for installation
• Provide information on the Data Quality process and dimensions of data quality
Analyst Collaboration
• Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
• Describe how Analysts and Developers can collaborate on projects
• Describe the benefits of project collaboration to a team
Profiling
• Perform and interpret column, rule, comparative and mid-stream profiling
Standardization/Mapplets
• Be aware of where data standardization fits in the DQ process
• Apply, configure and troubleshoot data standardization transformations
• Differentiate between the various parsing techniques available
• Recognize how reference tables are used in the standardization process
Address Validation
• Verify the importance of Address Validation
• Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
• Interpret the AV outputs generated Matching
• Develop and build match plans to identify duplicate or related data
• Differentiate between the matching algorithms available and explain how matching scores are
• Configure Identity Matching option for the match transformation
• Explain populations, the identity match strategies that are available and how they are used in Identity Matching
Consolidation and the DQA
• Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
• Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
• Troubleshoot any problems that may occur
• Generate a survivor record in the DQA
• Remove duplicates using DQA Integration with Power Center
• Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
Object Import and Export
• Define the difference between the Basic and Advanced Import options available
• Explain Dependency conflict resolution and how it is handled
• Describe how to Export a Project DQ for Excel
• Describe the requirements for integration for Excel
• Define the techniques for creating mappings for DQ for Excel
• Explain the Web service capabilities required for DQ for Excel
• Provide an explanation on how to use the Informatica ribbon in Excel
Parameters
• Explain what parameters are and why they are used including what parameter functions are supported
• Identify which Transformations can use parameters
• Describe the process of exporting mappings with parameters built in Content
• Explain what Content is, what is contained in the Core Accelerator and why it is used.



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Hortonworks Latest Questions

After its blockbuster IPO, what’s subsequent for Snowflake? | PR000005 Free test PDF and Questions and Answers

Snowflake Inc.’s preliminary public providing remaining week has eyes popping and the trade buzzing.

We’ve had a few dozen inbound public family members from businesses making an attempt to present views on the IPO of the records warehouse juggernaut in an effort to pitch us on their product. people are pumped up… and why no longer? An event like this doesn’t turn up that regularly.

In week’s Wikibon cube Insights, Powered by using commercial enterprise know-how analysis, we’ll deliver their tackle the Snowflake IPO and handle the numerous questions we’ve been getting on the subject. We’ll also try to handle what happens now.

The hottest IPO in software history – what now?

First they want to congratulate the various americans at Snowflake. The large hitters are all within the information: Chief govt Frank Slootman, former CEO Robert Muglia, undertaking capitalist Mike Speiser, uber-investor Warren Buffett, Salesforce.com Inc. CEO Marc Benioff and Snowflake Chief monetary Officer Michael Scarpelli.

curiously you don’t hear a great deal about the founders, Benoit Dageville, Thierry Cruanes and Marcin Zukowski. They’re very humble. We’ll talk about them in future episodes. that they had the imaginative and prescient and the smarts to bring in operators who may get to this point. So it’s incredible for them. however we’re principally happy for the rank and file and a lot of Snowflake employees where an event like this will also be life-altering.

Let’s get into the madness. As you understand by using now, Snowflake went public at a cost of $a hundred and twenty. except you knew a man, you paid round $245 at the open… and that’s in case you acquired in. in any other case, in case you purchased at a stronger rate. You just held your nose and made the change.

Snowflake’s price went from $three billion to greater than $80 billion in a depend of minutes.

Now there’s loads of speak and finger-pointing that this concern became underpriced and Snowflake left $4 billion on the desk. That’s just crazy discuss with us. Snowflake’s stability sheet is in respectable form thanks to this providing and we’re no longer certain jamming later-stage buyers even more would had been the correct factor to do. This become a small go with the flow, so that you would are expecting a pointy uptick on day one. They had envisioned a doubling to a $sixty six billion valuation and it ended the day at round $70 billion.

The large query now: is this a good valuation? and can Snowflake grow into its valuation? We’ll tackle this in additional aspect, however the short reply is: sure, Snowflake is hyped up at this time in their view, but can develop into its valuation. Of route, there may be challenges.

The different remark they get is “but the enterprise is dropping tons of cash.” sure. That’s suitable. however we’d point out it truly is a symptom of the street’s valuation. We’ve been saying for years that buyers reward boom at this time as a result of they take into account that to compete in application you want huge scale. So we’re no longer concerned in the slightest degree about Snowflake’s bottom line at this aspect. ultimately they can pay closer attention to working money circulation, but presently they are looking to see Snowflake grow into its valuation.

The other typical query is: may still I purchase? When should I buy? What are the hazards? and may Snowflake compete with the biggest cloud companies?

We’ll say this before they get into it. As we’ve talked about repeatedly, it’s very infrequent that you simply received’t get enhanced buying alternatives than day one in every of an IPO. And they think you're going to right here too. back in 2015,  within the first calendar quarter of the year, ServiceNow ignored its earnings and the inventory bought hit. They had the possibility to interview Frank Slootman right after that and it’s instructive to listen to what he observed:

in consequence, they noticed that inventory drop to as little as $50 and nowadays it’s a $450 stock. So the element is that Snowflake, like ServiceNow, should be priced to perfection and there might be bumps in the street, might be macro or different factors. And in case you’re a believer, you’ll have alternatives to get in. So wait and see. Don’t let worry of lacking out e-book your funding selections. instead, let your analysis inform your approach.

For context, the weighted average rate that insiders paid for Snowflake came out to around $5 to $6. So on day probably the most IPO, the insiders made a normal of fifty times return on their funding. in case you bought on day one, you can be even or might be dropping cash. but there are some ground-floor alternatives that exist, which can be dangerous. but when you’re younger and prompted or older and have some time to analysis, you can be attracted to what they have to say in a while in this publish.

evaluating Snowflake with other highfliers

This chart indicates some other scorching businesses compared with Snowflake. They display the business, the trailing-12-month profits, market cap on the shut of Sept. 16, all on day one among Snowflake’s IPO. Then they calculate and sort the records on the earnings assorted from the TTM. And the ultimate column is the 12 months-on-yr growth cost from the latest quarterly file.

We use TTM since it’s primary and easy to be aware. And it makes the salary distinctive larger so it’s more dramatic. Many opt to use forward salary in keeping with consensus projections, but that’s why the boom expense is there: which you could opt for your projected growth fee and do the income projection yourself.

So let’s beginning with Snowflake, at more than $four hundred million in TTM profits, and that’s in keeping with a newish pricing mannequin of consumption, not a utility-as-a-carrier subscription for a year or two. they love this model and have referred to it so they received’t dwell on it right here. however that you may see the TTM salary distinct is big and the growth rate is one hundred twenty% – very surprising.

We put Zoom Inc. in the chart since the growth fee is so significant. Who knows how that correlates to the salary distinct? however as which you can see, Snowflake tops the frothiness of even Zoom. might be Zoom is undervalued? tough to fathom.

We believe CrowdStrike Holdings Inc. is an interesting evaluate and is an organization that we’ve been following intently. In our last security update CrowdStrike had a sixty five times TTM earnings multiple and also you see how that has jumped since it stated its ultimate quarterly consequences and beat expectations. however it’s the same measurement as Snowflake with a slower increase expense and decrease earnings numerous. So there is a few correlation to boom. The greater the boom price, the higher the revenue varied, Zoom although.

Now Snowflake pulled back on day two of its buying and selling and it became down again early Friday as you could possibly are expecting with both the market being off and with income-taking, however it ended up for the day. in case you bought an allocation at $120, why now not take some gains and play with residence funds? That Snowflake came again after being off suggests there’s nonetheless pent-up demand for the stock. again, the small go with the flow may have that effect. Snowflake’s value presently is hovering at $67.4 billion, $1.four billion bigger than their projection for day one.

if you task one hundred% TTM boom for subsequent 12 months and the inventory trades in a reasonable latitude – which it very well could – you might see Snowflake coming down to Crowdstrike-like income multiples in one year. it'll depend upon Snowflake’s earnings stories, so they can possible hit or beat estimates for the subsequent a couple of quarters — and if it’s growing to be faster than these others, it can command a relative premium. absolutely the cost will rely, of course, on where the market fees all these companies in a yr.

Can Snowflake grow into its expanded valuation?

We shared the chart under with you in a single of our past segments on Snowflake. And it talks to Snowflake’s total addressable market growth opportunity. this is whatever they saw Slootman execute at ServiceNow when each person underestimated its value. We’ll briefly clarify right here.

Snowflake is disrupting the normal records lake and enterprise data warehouse or EDW markets (layers 1 and a couple of above). records lake spending is relatively small – below $2 billion. but statistics lakes are inexpensive. They commonly joked that the return on funding of Hadoop stood for “reduction of investment.” however statistics lakes were less costly, they under no circumstances materialized as a full facts warehouse replacement. The EDW market, however, is reasonably gigantic.

common commercial enterprise information warehouses are massive, slow, cumbersome, high priced and sophisticated. they have got been made operational and are important for organizations’ reporting necessities and simple analytics. but they’ve did not live up to their promise of a 360-degree of view of customers and real-time analytics.

One consumer informed us “my records warehouse is like a snake swallowing a basketball.” He gave an illustration where a change in legislation would turn up and force a transformation within the records model and the business would should ingest all this new records and the warehouse choked. So each time Intel Corp. came out with a brand new processor, the crew would rush out to throw extra compute at the difficulty. He called it “chasing the chips.” this is symptomatic of the cumbersome nature of average EDWs that Snowflake is disrupting.

What Snowflake did changed into to examine a cloud-native world where you might bring compute to huge facts volumes on an elastic groundwork and only pay for what you utilize. It sounds so standard but technically, Snowflake’s founders’ innovation of keeping apart compute from storage to leverage the flexibility of the cloud turned into profound. And naturally it become the right name. greater on that in a bit of.

the place they suppose Snowflake goes is to build a knowledge cloud (layer 3 above), the place your statistics can also be ingested and accessed to operate close-precise-time analytics with computer learning and AI. And Snowflake’s knowledge, as we’ve mentioned, is its simplicity, however additionally the incontrovertible fact that it runs on any cloud and might ingest records from quite a lot of sources.

Now there are some challenges here and they are not asserting that Snowflake goes to take part in all use situations. although, with its substances they are expecting Snowflake to create new capabilities and do tuck-in acquisitions in an effort to enable it to attack many more use instances.

And so you examine this chart above, and if the third layer is a $60 billion market, it skill Snowflake must extend into the fourth layer, which they name computerized resolution making, since it’s not going to relaxed a hundred% of the first possibility. Layer four is the place actual-time analytics and programs are making selections for people and appearing in true time. clearly data should be a vital a part of this equation.

At this factor it’s uncertain that Snowflake has the capacity to move after this market, considering a good deal of the records during this enviornment will live at the side. but Snowflake is betting on its becoming a knowledge layer throughout clouds and most likely on the facet, and this market is significant. So there’s no lack of TAM in their view for Snowflake.

Which brings us to the competition – can Snowflake continue to win?

plenty of the investment thesis at the back of Snowflake is Slootman and his military, together with CFO Mike Scarpelli, and what they did at ServiceNow is a trademark of what will turn up with Snowflake. Scarpelli is an operational guru and maintains the engine operating with very tight controls. They each are smartly-revered through Wall highway, consumers and personnel. So betting on management is a gorgeous respectable bet. That said, Snowflake’s competition is a lot more equipped than what ServiceNow faced in its early days.

here’s an image of one of the key opponents. On the vertical axis is internet ranking or spending pace in accordance with ETR’s quarterly surveys. We’re displaying July’s survey effects – October is at the moment in the field. On the horizontal axis is Market Share or pervasiveness within the information set. So it’s a proxy for share, nevertheless it’s according to mentions, now not dollars. That’s why Microsoft Corp. is so far to the right, as a result of they’re massive and in every single place.

The more valuable data to us is the position of Snowflake. It remains some of the highest internet rankings within the entire survey base – no longer simply database. Amazon web services Inc. is its biggest competitor as a result of most of Snowflake’s company runs on AWS. but Google BigQuery is technically probably the most capable because it’s a true cloud-native database built from the ground up, whereas AWS took a database that turned into constructed for on-premises and brilliantly made it work within the cloud by way of re-architecting many items. however it nevertheless has definite legacy materials to it.

Oracle Corp. is huge and slow-growth ordinary. it's making investments to hang on to its purchasers. Oracle is all about a single database for diverse use circumstances. Oracle’s research and construction makes a speciality of making Oracle Database the most reliable database for mission-essential workloads, whereas at the equal time including things similar to Javascript Object Notation or JSON to aid document workloads, as well as analytics.

and you may see Teradata Inc. and Cloudera on the chart. Cloudera is a proxy for the information lakes, which are decrease-can charge systems. And Cloudera, which received Hortonworks Inc., is credited with the commercialization of the complete huge-information circulate. and then there’s Teradata, which has been round on the grounds that the 1980s with a big base of shoppers.

There are a zillion different database avid gamers, but these are those they wanted to center of attention on nowadays. The bottom line is they predict Snowflake’s vertical axis spending momentum (net rating) to stay increased and it will continue to ceaselessly circulate to the appropriate.

Let’s drill into the Snowflake data somewhat extra

below they demonstrate the components of web score for Snowflake over time. Lime green is new adoptions, forest green is spending up greater than 6%, grey is flat spending, purple is spending 6% less and bright crimson is leaving the platform. the road up proper is internet rating, which subtracts the purple from the eco-friendly, and is an indicator of spending pace. The yellow line on the bottom is Market Share or pervasiveness in the survey.

be aware the blue – it’s ETR’s true takeaway:

2H20 spending intentions on Snowflake proceed to fashion robustly, frequently characterized with the aid of excessive consumer acquisition and growth charges; market share among all consumers is concurrently starting to be.

Snowflake towards the competitors in Fortune 500 debts

beneath they display web rating or spending momentum over time for some key competitors. and you may see Snowflake’s net rating has really elevated on the grounds that the April survey, which turned into taken at the peak of the U.S. lockdown. And its internet rating is definitely larger within the Fortune 500 than it is ordinary, which is a proxy for spend, because greater bills tend to have greater commonplace spend degrees. Google, MongoDB Inc. and Microsoft additionally exhibit meaningful momentum growth seeing that the April survey. peculiarly, AWS has come off its multiplied ranges from last October and April — still powerful however some thing to observe.

Snowflake’s market presence inside huge 3 cloud bills

under is one other reduce on the Fortune 500 information, however this time they exhibit Market Share within Amazon, Google and Azure cloud debts. There are one hundred twenty five respondents in the massive three clouds and 21 Snowflake respondents inside that base of 125. and also you see the constant and consistent boom of its share. now not massive Ns however satisfactory to supply some self belief in the statistics. word the ETR call-out that this vogue is occurring although that each and every of the big three cloud suppliers has its own aggressive providing.

however here's no longer a layup for Snowflake

As we’ve said before, here is not ServiceNow part 2 – it’s a special circumstance.

The competition here isn't BMC, which turned into ServiceNow’s target. As much as they like their chums at at BMC, we’re talking about AWS, Microsoft and Google. Amazon with Redshift is dialed into this. We’ve noted frequently that AWS has borrowed many Snowflake innovations and ultimate fall at re:Invent they heard it make a huge deal about isolating compute from storage. AWS CEO Andy Jassy took a swipe at Snowflake without citing it exceptionally. however let’s take heed to what he said and are available back to discuss the nuances:

good enough, first off, Jassy is fantastic. He stands up at re:Invent for two hours and connects traits and business to technology and he has a deep realizing of the tech.

youngsters, they need to name attention to his statements right here. Their interpretation of what AWS has accomplished to separate compute and storage is respectable, however’s now not as dependent architecturally as Snowflake. AWS almost has tiered the storage off the cluster to decrease the basic cost by means of placing it on more affordable S3 storage. And it makes use of high-speed pipes to flow it again to the compute when indispensable.

however their figuring out is which you could’t flip off the compute fully. sure, it lowers expenses for consumers, which is goodness. but Snowflake has basically separated compute and storage. The problem Redshift faces, they consider, is that AWS had to do a workaround because it’s almost developed on an structure that become no longer designed as cloud native from the ground up.

So when Jassy talks about relocating the facts to the compute, what he’s definitely announcing is their architecture is such that they needed to do this suave workaround. however his total narrative about the prevailing the right way to separate compute and storage (by using prevailing, they trust he’s speaking about Snowflake) and relocating the data to the compute doesn’t follow to Snowflake. as a result of with Snowflake, they’ll simply circulate the compute to the records. thank you, Hadoop, for that profound conception.

Does this mean Snowflake will have cakewalk over Redshift and others?

No. not at all. AWS will proceed to innovate. What matters in the conclusion is customer consequences and many shoppers are hopping on RA3 circumstances, so Snowflake had more desirable retain moving quick– multicloud, new workloads, TAM growth to adjacent markets and so on.

Microsoft is massive, however as general there’s no longer plenty to say apart from it’s all over the place. It places out 1.0 items that ultimately it gets correct, and because of its heft, it gets mulligans that it turns into pars or birdies. but they feel Snowflake will carry some innovations to Azure to be able to get first rate traction.

Google BigQuery is wonderful. by using all money owed it gets excessive technical marks. Google is enjoying the lengthy video game and they would predict that Snowflake could have a harder time competing in Google Cloud than in AWS. however we’ll see.

The penultimate point on the above slide is many are talking concerning the convergence of analytic, operational and transaction databases. And the thinking is that this doesn’t necessarily bode neatly for a expert akin to Snowflake. we'd make a pair aspects here:

  • One is that whereas it’s in fact authentic, you’re not seeing Snowflake positioned these days as responding at the point of transaction to influence an order in genuine time, for example. And this may also have implications on the area. but we've realized there are many methods to skin a cat and they see integration layers and ingenious approaches emerging within the cloud that may address this hole and present alternatives for Snowflake.
  • The different aspect we’d say is that considering misses something altogether this theory of Snowflake in that third statistics layer they confirmed, records-as-a-carrier or the information cloud. It’s doubtlessly an enormous probability that it’s uniquely located to handle since it’s cloud-agnostic and has the technology and the imaginative and prescient.
  • on the other hand, the last factor is they can see the combat continue between integrated suites and most appropriate-of-breed avid gamers. They talk about it all of the time and there's no single correct answer.

    Tangent: How can the little guy get an insider’s return?

    Let’s take a tangent here and focus on this. Now they must warning you – and here's a bit tongue in cheek – here is purchaser pay attention. however as they wrote prior, the insiders on Snowflake had a 50 instances return on day one. You probably didn’t.

    We want to talk about the confluence of software engineering, cryptography and game thought, powered by using the underlying appeal of blockchain know-how.

    And we’re speaking about innovations round a brand new web. And a distributed net or dweb the place many distributed computers come together to form one computer that guarantees have faith between two or more users for numerous use situations.

    This isn’t only a financial shop similar to Bitcoin, nonetheless it’s that too. the inducement at the back of here is the undeniable fact that 5 to 6 groups nowadays manage the cyber web and have basically taken handle of the important protocols equivalent to TCP/IP, HTTP and SMTP, the protocols on which the cyber web turned into built. and you had no approach to invest in them unless Cisco systems Inc., Google, Amazon.com Inc., fb Inc. and some others went public.

    The individuals we’re showing beneath are working on new innovations, virtually constructing out a brand new cyber web. Olaf Carlson-Wee began Polychain Capital to invest in core infrastructure around these new computing paradigms. Mark Nadal is somebody who's working on new dapps, as is Tim Berners-Lee together with his strong project at MIT, emphasizing information ownership and privacy. Of direction, Satoshi obtained all of it began when he or she invented bitcoin and created the concept of fractional shares. And the folks at Andreessen Horowitz are actively making bets within the segment.

    here’s the premise. in case you’re a bit man and wanted to put money into Snowflake, you couldn’t until late within the online game. in case you wanted to make investments within the LAMP stack at once within the late ’90s, there changed into no strategy to do this. You had to look ahead to red Hat to go public to get a bit of the Linux motion. however in this world, there are opportunities that don't seem to be mainstream and infrequently in keeping with cryptocurrencies.

    again – it’s unhealthy – there are scams and losers. but if you do your homework there are really cars that you should get in on the ground ground of some of those new innovations and also you may get a 50- or one hundred-bagger too. however you must do your research and there’s no ensure that these innovations may be capable of take on the information superhighway giants.

    The factor is that there are americans – definitely wise technologists and application engineers – who're young, mission-driven and forming a collective voice against what they see as a dystopian future, because they need to level the information superhighway enjoying field. This could be a disruptive force to challenge the information superhighway giants. And if you’re video game, we’d recommend taking a look and seeing if it’s price a small funding.

    The upshot

    in spite of everything, Snowflake closed its first trading week as a corporation value $6 billion — roughly the identical value as Goldman Sachs, price greater than VMware…. The listing goes on. As Slootman will little question stress to his troops, here is the starting, no longer the conclusion.

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    And don’t forget, Breaking analysis posts, movies and podcasts are all obtainable on the excellent hyperlink on the Wikibon.com domestic page. They also submit the finished assortment of Breaking evaluation pieces here.

    right here’s the whole video analysis:

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