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E20-065 - Advanced Analytics Specialist Exam for Data Scientists - Dump Information

Vendor : EMC
Exam Code : E20-065
Exam Name : Advanced Analytics Specialist Exam for Data Scientists
Questions and Answers : 66 Q & A
Updated On : March 21, 2018
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E20-065 Advanced Analytics Specialist Exam for Data Scientists

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EMC Advanced Analytics Specialist

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artificial Intelligence is not “false” Intelligence | @CloudExpo #AI #ML #DX #Cloud | killexams.com real questions with brain dumps

quick quiz!

What’s the primary thing that comes to mind in case you hear here phrases?

  • artificial grass
  • synthetic sweeteners
  • artificial flavors
  • synthetic flora
  • artificial plants
  • synthetic diamonds and jewelry
  • synthetic (fake) news
  • These phrases probably evoke suggestions reminiscent of “false,” “no longer true,” and even “shabby.” artificial is any such harsh adjective. The notice “synthetic” is defined as “imitation; simulated; sham” with synonyms similar to fake, false, mock, counterfeit, bogus, phony and factitious.

    The note “synthetic” might also now not be the appropriate term to use to describe “artificial Intelligence,” because “synthetic intelligence” is the rest however false, false, phony, or a sham. possibly a better time period is “Augmented Human Intelligence,” or a phrase that highlights each the magnitude of augmenting the human’s intelligence as well as to alleviate the fears that AI means humans turn into “meat popsicles” (brief, name that Bruce Willis movie reference!). And while I don’t predict this name trade to stick (if it does, please give me some credit), I’m the use of this blog as an excuse to introduce some mind-blowing new training materials on synthetic intelligence and computer discovering.

    but before I dive into details, let’s first frame the artificial intelligence dialog.

    specializing in the “How” gained’t Lead You to the “What” and “Why”businesses have access to a turning out to be range of internal and exterior statistics sources that might yield greater predictors of business performance. And whereas having a method to ideate, validate and prioritize the distinct records sources that one may are looking to probe for its predictive capabilities, within the end the data with the aid of itself is of little cost – businesses need to become more beneficial at leveraging records and analytics to energy their business fashions (see determine 1).

    figure 1: huge statistics company mannequin Maturity Index

    however as a way to “monetize” that transforming into bounty of information, you’re going to should develop into an expert at superior analytics to tease out the customer, product, service, and operational insights that are the real sources of financial value (see university of San Francisco “opting for The economic price of facts” analysis paper). enterprise leaders should develop into knowledgeable about advanced analytics capabilities so that it will envision “What” company use cases to goal and “Why,” before they get pulled into the “How” discussion.

    getting ready for the “How” DiscussionTo support enterprise leaders be aware the place and the way to follow the different courses of advanced analytics (i.e., desktop gaining knowledge of, neural networks, reinforcement researching, artificial intelligence), I’ve created an advanced analytics roadmap. I then mapped the superior analytics roadmap against the big information company mannequin Maturity Index (see figure 2).

    figure 2: The course for developing the intelligent commercial enterprise

    while not at all superb (and certainly now not definitive given continued advanced analytics developments), figure 2 attempts to classify the distinct superior analytics capabilities right into a roadmap that agencies can use to aid them bear in mind when and the place to practice the distinctive advanced analytics capabilities. here's my try to are attempting to summarize the superior analytics confusion, hype and excitement into whatever thing actionable.

    With that as my aim, listed below are the distinctive degrees of advanced analytics:

  • degree 1: Insights and Foresight. here is the foundational stage that contains statistical analytics as neatly because the wide categories of predictive analytics (e.g., clustering, classification, regression) and facts mining. The aim of the degree 1 is to quantify trigger-and-impact, set up self belief levels and measure goodness of healthy.
  • degree 2: Optimized Human-resolution Making. This level includes laptop researching, deep learning and neural networks. The intention of those superior analytic algorithms is to allow computer systems to be trained on their personal; to determine patterns in statistics, construct models that explain the statistics, and predict outcomes with no need pre-programmed suggestions and analytic fashions.
  • level 3: The learning and intelligent commercial enterprise. This level contains synthetic intelligence, reinforcement discovering and cognitive computing. These superior analytic algorithms self-display screen, self-diagnose, self-alter and self-be taught. These analytics understand the area round them, create dreams, make selections towards those goals, measure choice effectiveness, and study to be able to refine the choices that strengthen in opposition t the goals (maximize rewards while minimizing costs).
  • it's vital to be able to summarize and present the vast realm of advanced analytics within a frame that we will explain to company leadership (as a result of eventually we’re going to return to them for money). So the usage of determine 2 as our enterprise framework, let’s deep dive into each and every of the superior analytics stages.

    level 1: Insights and ForesightsThe goal of degree 1 is to quantify “trigger-and-effect” (i.e., quantify relationships within the records) and predict what is probably going to ensue at some measureable level of self assurance. degree 1 units the basis for picking “goodness of healthy,” or the extent to which accompanied information fits the values predicted via analytic fashions. level 1 comprises here advanced analytic capabilities:

  • facts is a department of mathematics dealing with the collection, analysis, interpretation, presentation and corporation of facts. Statistical analytics and techniques are used to aid hypotheses (choices) and provide credibility to modeling effects and consequences (by the use of self belief tiers and “goodness of healthy” measures). try “information for Dummies Cheat Sheet” for extra assistance about diverse statistical suggestions.
  • Predictive Analytics and facts Mining encompass anomaly detection, clustering, classification, regression and affiliation rule getting to know. Predictive analytics and facts mining find statistically big patterns in large statistics sets; they discover relationships buried within the statistics so as to quantify hazards and alternatives. try “23 forms of Regression” to peer the various kinds of regression suggestions accessible to the records scientist.
  • stage 2: Augmented Human determination-makingLevel 2 builds upon the predictions created in level 1 as a way to prescribe moves and proposals. level 2 is the area of analytic capabilities concentrated on natural language processing (NLP), textual content translation, voice cognizance, and photograph/photo/facial consciousness. advanced analytic capabilities in level 2 focal point on researching after which making inferences from that gaining knowledge of. level 2 includes right here analytic capabilities:

  • Neural Networks and Deep studying leverage a system of totally interconnected analytic layers to decompose complex records formats (e.g., pictures, audio, video) so as to study in regards to the statistics and create inferences in regards to the records. as an example, determine three indicates how a collection of interconnected neural network layers work to establish a written number.
  • figure 3: Why Convolutional Neural Networks (supply URL offered under)

    however beware, as there is not only one neural community method, as can also be seen in determine four.

    determine 4: The Asimov Institute, The Neural community Zoo (supply URL provided under)

    computer learning empowers techniques and functions with the ability to profit capabilities devoid of being explicitly programmed. computer gaining knowledge of focuses on the construction of computing device programs that can trade when exposed to new facts. computer discovering algorithms determine patterns in accompanied information, construct fashions that clarify the world, and predict things while not having to explicitly pre-program rules and analytic models (see figure 5).

    figure 5: The change Between Deep learning training and Inference (supply URL supplied beneath)

    essentially, machine discovering does two issues: 1) quantifies relationships in the records (quantify relationships from old facts and apply these relationships to new records units), and 2) quantifies latent relationships (draw inferences) buried within the records.

    There are two types of laptop researching:

  • Supervised desktop learning is a type of computer gaining knowledge of algorithm used to draw inferences from facts sets with label responses corresponding to fraud, consumer attrition, purchase transaction, part failure, social media engagement, or web click on.
  • Unsupervised laptop getting to know is a sort of laptop researching algorithm used to draw inferences from statistics units with out labeled responses akin to finding hidden (unknown) patterns, groupings or relationships in facts.
  • See the blog “exact 10 machine studying Algorithms” for detailed checklist of computing device learning algorithms.

  • Adversarial laptop discovering is a reasonably new enviornment of laptop discovering. Adversarial laptop studying sits on the intersection of computing device researching and desktop protection. It seeks to enable the protected adoption of computer learning techniques in adversarial settings like spam filtering, malware detection and biometric awareness. laptop discovering strategies had been originally designed for stationary environments through which the training and examine information are assumed to be generated from the same distribution. despite the fact within the presence of clever and adaptive adversaries, this working speculation is likely to be violated. for example, a malicious adversary can cautiously manipulate the input facts exploiting selected vulnerabilities of studying algorithms to compromise the total equipment protection.
  • eventually, Ensemble laptop discovering combines a few laptop studying suggestions into one predictive mannequin in order to lessen variance, bias, or increase predict effectiveness. Ensemble strategies can be divided into two businesses:
  • Sequential ensemble strategies where the base freshmen are generated sequentially. The basic motivation of sequential strategies is to make the most the dependence between the base newcomers. Weighing in the past mislabeled examples with larger weight can increase the universal efficiency.
  • Parallel ensemble methods where the base learners are generated in parallel (e.g. Random forest). The fundamental motivation of parallel strategies is to take advantage of independence between the base beginners due to the fact the error can also be decreased dramatically through averaging.
  • See the article “Ensemble discovering to enrich computing device learning outcomes” for more details on ensemble computing device gaining knowledge of.

    level three: The gaining knowledge of and intelligent EnterpriseLevel 3 specializes in developing an clever business that can self-monitor, self-diagnose, self-relevant and self-learn. level 3 is the domain of continual “researching and adjusting” advanced analytic techniques similar to reinforcement researching, synthetic intelligence and cognitive computing. degree 3 comprises the following analytic capabilities:

  • Reinforcement researching focuses on how application agents take moves in an environment to be able to maximize cumulative rewards while minimizing charges. Reinforcement discovering uses trial-and-error to map instances to movements in an effort to maximize rewards. movements may also affect immediate rewards but moves can also additionally affect subsequent or longer-term rewards, so the full extent of rewards need to be considered when evaluating the reinforcement studying effectiveness. Reinforcement discovering is used to address two time-honored problems:
  • Prediction: How a lot reward may also be expected for each combination of feasible future states
  • manage: via moving via all feasible mixtures of the environment, find a mix of actions that maximizes reward and makes it possible for for foremost manage
  • See “reworking from self sufficient to wise: Reinforcement learning basics” for more details on reinforcement researching.

  • artificial Intelligence is the capability for a computer device to acquire competencies inside a selected atmosphere, follow the advantage to effectively interact inside that environment, and be trained from the resulting interplay so that subsequent interactions get greater valuable, even to the element the place an artificial clever software could re-software itself to more successfully operate (continue to exist?) within a fancy ambiance or condition (now that should scare the singularity individuals[4]).
  • synthetic intelligence involves the look at of agents that understand the realm round them, kind plans, and make selections to achieve their desires. An clever agent is an independent entity that observes via sensors and acts upon an ambiance using actuators (i.e. it's an agent) and directs its undertaking towards attaining desires (i.e. it is “rational,” as described in economics). There are 4 widespread forms of intelligent agents:

  • essential reflex brokers
  • model-primarily based mirror agents
  • goal-based mostly replicate brokers
  • Utility-primarily based mirror agents
  • determine 6: simple replicate Agent (supply URL supplied under)

    Cognitive Computing is a comparatively new idea it's being championed by using IBM Watson. Cognitive computing contains self-getting to know systems that simulate human notion tactics and resolution-making in advanced cases. From Wikipedia, we get cognitive methods elements including:

  • Adaptive: might also study as assistance adjustments, and as dreams and necessities evolve
  • Interactive: may engage easily with clients so that these clients can define their needs without difficulty
  • Iterative: may additionally support in defining an issue with the aid of asking questions or finding extra source input if a problem remark is ambiguous or incomplete
  • Contextual: can also keep in mind, determine, and extract contextual points reminiscent of that means, syntax, time, area, applicable domain, laws, person’s profile, method, project and desires
  • SummaryYou can’t get to the “What” and the “Why” via focusing on the “How”

    it is also essential to understand the “How” with a view to envision the “What” and “Why.” occasionally the huge diversity of superior analytic innovations and algorithms trigger confusion, and trigger business leaders to slow down or even cease except they take note these advanced analytic capabilities improved. The purpose of this blog turned into to deliver adequate of a proof of advanced analytics to enterprise leaders in order that after we get engaged in an envisioning endeavor, we get flip off the governors that limit creative thinking.

    Appendix: excellent Sources of superior Analytics KnowledgeThere are many sources of surprising training accessible on superior analytics, comparable to Andrew Ng’s deep getting to know courses on Coursera. one in every of my favorites is the content offered by way of the “laptop learning for people” site. It has wonderful fabric and comprises a free downloadable e-book.

    determine 7: computer gaining knowledge of is one in all many subfields of artificial intelligence, about the ways in which computers gain knowledge of from adventure to increase their ability to believe, plan, come to a decision, and act.

    I’ll proceed to share new sources of extraordinary tutorial cloth on superior analytics as they get released into the wilds. be aware the “how” will assist companies to check the realm of what’s possible. again and again, that envisioning is just confined through the groups creativity and management commitment.


    determine 3: Why Convolutional Neural Networks

    figure four: The Asimov Institute – The Neural community Zoo

    determine 5: Nvidia – What’s the difference Between Deep gaining knowledge of practicing and Inference?

    [4] The technological singularity is the hypothesis that the invention of artificial tremendous intelligence will suddenly set off runaway technological boom, leading to unfathomable alterations to human civilization (a.okay.a. Skynet).

    determine 6: Philosophy of artificial Intelligence: standard Reflex Agent

    The post synthetic Intelligence isn't “false” Intelligence regarded first on InFocus weblog | Dell EMC functions.

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    Cloud computing is now being embraced by way of a majority of firms of all sizes. the day prior to this's debate about public vs. private has changed into the reality of hybrid cloud: a recent survey suggests that seventy four% of agencies have a hybrid cloud strategy. meanwhile, 94% of organizations are using some type of XaaS - software, platform, and infrastructure as a service.

    With most important know-how groups and startups severely embracing Cloud strategies, now's the best time to attend twenty first Cloud Expo, October 31 - November 2, 2017, at the Santa Clara conference center, CA, and June 12-14, 2018, at the Javits core in ny city, ny, and gain knowledge of what is happening, contribute to the discussions, and confirm that your business is on the appropriate route to Digital Transformation.

    2018 conference Agenda and Tracks, June 5-7, Javits center

    song 1 | Cloud Expo - business CloudTrack 2 | DXWorld Expo - Digital Transformation (DX)tune three | The API commercial enterprise | Mobility & SecurityTrack four | DevOps | Containers & MicroservicesTrack 5 | Cognitive Computing | AI, ML, DLTrack 6 | large statistics | AnalyticsTrack 7 | IoT | IIoT | wise CitiesTrack 8 | hot topics | FinTech | WebRTC

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    each world 2000 commercial enterprise on earth is now integrating cloud computing in some kind into its IT construction and operations. Midsize and small agencies are also migrating to the cloud in increasing numbers.

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    Google, IBM, Dell EMC: We can make servers that are 10 times quicker | killexams.com real questions with brain dumps


    OpenCAPI's server inner schematic suggests the accessories of the new open specification.

    graphic: OpenCAPI Consortium

    one of the vital world's biggest technology organizations have announced a specification for a know-how geared toward boosting server efficiency via up to 10 times.

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    OpenCAPI has been released through a consortium led by using AMD, Dell EMC, Google, Hewlett Packard business, IBM, Mellanox technologies, Micron, NVIDIA and Xilinx.

    The consortium claim OpenCAPI (Open Coherent Accelerator Processor Interface) might be indispensable if the performance of computers is to proceed to grow on the pace it has during the past.

    because the fee at which quicker processors are developed slows, they are saying computers will depend more closely on hardware accelerators and advanced memory applied sciences -- such as phase exchange reminiscence -- to deliver performance boosts.

    To this end, computers can be capable of use OpenCAPI interfaces to connect CPUs to hardware accelerators at 25Gbps, quicker than the highest 16Gbps offered through the present PCI specific interfaces, putting off one of the most bottlenecks in cutting-edge computing architectures.

    That efficiency increase could be deliver plenty of advantages, the consortium says, as an instance giving FPGA and software selected built-in Circuits (ASICs) the skill to behave as in the event that they were built-in into the CPU, thanks to OpenCAPI's efficiency, virtual addressing and coherence capabilities. The interface's coherent community and storage controllers will additionally in the reduction of software overheads, enhancing the speed of data access.

    That increased performance should still benefit organizations in industries ranging from finance to bioscience, that are switching to more and more information-intensive workloads, such as machine discovering and advanced analytics.

    Servers that use OpenCAPI can be released from the 2d half of 2017, with the primary being IBM POWER9-primarily based hardware, after which IBM will allow members of OpenPOWER groundwork to introduce OpenCAPI-enabled items.

    the brand new server being developed by means of Google and Rackspace, codenamed Zaius, will also use POWER9 processors and use the OpenCAPI interface. Networking expert Mellanox will support the specification in "future products" and Xilinx plans to produce OpenCAPI-enabled FPGAs.

    One extraordinary exception to consortium was Intel, which has also chosen to live out of different open necessities companies for datacenter expertise in the past, comparable to CCIX and Gen-X.

    In contemporary years there was a push with the aid of one of the biggest tech companies to share designs for servers, storage and different datacenter infrastructure, with a view to drive efficiencies, as part of the Open Compute task.

    study greater ON DATACENTERS

    BT Heads to Bristol as it Weighs 5G Plans, expenses | killexams.com real questions with brain dumps

    LONDON -- eager to determine how a 5G community behaves in the "true world," what applications actually need a next-technology architecture, and how a 5G community may be managed, BT is teaming up with Nokia and the Bristol Is Open initiative for a two-day are living trial in March 2018 for you to contain up to five,000 participants of the public.

    Bristol, a metropolis in west England this is domestic to greater than 450,000 americans and numerous imaginative know-how and media businesses (such as Blu instant expertise, venture Photonics, Zeetta Networks), has for some time been a reside verify mattress for a considerable number of transport community, instant and IoT functions below the auspices of the Bristol Is Open initiative, with BT being one in all numerous R&D partners.

    Now the united kingdom operator is seeking to benefit enormous insights into the 5G world from the two-day test for you to take place in Bristol city middle. Pre-specifications 5G, 4G, 3G and WiFi access networks will all be operational as distinct purposes and services are tested over numerous spectrum bands (three.5GHz, 26-28GHz and 60-70GHz) using a whole lot of end consumer instruments, together with two pre-5G and nonetheless immense prototype devices (that will gain their mobility by means of being carted around on golf buggies, apparently). Li-Fi capabilities will also be established in some indoor environments. (See Eurobites: WiFi's Lightbulb moment.)

    With simply two 5G prototype contraptions, the variety of entirely end-to-end 5G provider checks could be restricted, notwithstanding types of some skills 5G functions may be confirmed and trialled the usage of LTE-advanced professional (4.5G) radio access, whereas 5G NR connectivity will even be demonstrated as backhaul connections.

    The trial will make use of Bristol Is Open’s current optical transport and statistics gathering structure, spectrum from BT (which of path now contains mobile operator EE) and community infrastructure features -- big MIMO antennas, pre-ordinary 5G NR small cells, edge computing systems, core community programs and greater -- from Nokia.

    talking at a media briefing Monday morning, BT's Chief network Architect Neil McRae stated that BT has to be in a position to "do extra for much less, with less" in the future, and that it needs practical adventure of how next-technology technologies will work and interact when loaded with actual user site visitors. "We want to examine this from an operational perspective... how to manipulate community cutting... what equipment we are able to deserve to control 5G networks that we do not already have and looking out at how 5G [capabilities] could be used within the true world past greater cellular broadband connectivity."

    opting for and implementing the appropriate analytics capabilities could be critical to BT's 5G plans, cited McRae, as well as identifying "how to get the assistance out of the community. how to increase telemetry is a key enviornment of focal point for BT and then deciding what suggestions must be processed and analyzed in real time and what can also be saved and analyzed later. suggestions is the starting element for 5G -- visibility offers us manage."

    BT's Chief Architect Neil McRae (seen here talking to Light Reading's Liz Coyne earlier this year) believes that 'Information is the starting point for 5G -- visibility gives us control.'

    BT's Chief Architect Neil McRae (seen here talking to light analyzing's Liz Coyne earlier this year) believes that "suggestions is the beginning point for 5G -- visibility gives us handle."

    McRae also wired that or not it's critical to seem on the expertise because the enabler and be driven essentially with the aid of the abilities use situations in a 5G world, "and the strongest use situations come from participating with trade... we should work with government, business, companies to give everyone with a better understanding of what have an effect on 5G may have on groups, their partners and their customers." Automation and robotics are at the coronary heart of the functions to be validated, and may contain interactions between people and robots, between robots and robots, with related vehicles and also embody "immersive experiences," together with some involving actual-time gaming.

    that's probably the most incentives to be worried within the Bristol test -- collaboration and feedback. "we are looking at Bristol as a way to interact in utilized analysis," stated Paul Crane, head of mobile, wireless and community features R&D at BT's know-how, carrier & Operations (TSO) division. Having labored on 5G capabilities in the labs, BT needs to know "what we need to put in location" to enable a slew of 5G purposes that require excessive capacity, excessive availability and low latency.

    Crane stated that his crew has three particular areas of 5G R&D when it comes to purposes: Low-latency services, similar to far off scientific diagnostics; virtual and augmented reality, above all the place VR functions pertain to sporting events and live wearing broadcasts (BT, of path, now runs assorted sports tv channels within the UK); and drone control, focused on how computerized drone missions can assist the emergency functions and make far off site visits greater effective and effective.

    he is additionally looking at: How synthetic intelligence and machine learning tools, which BT already uses in its network upkeep procedures, could be used in automated 5G management methods; the combination of fixed and cellular network infrastructures all of the solution to the access facet; and the way features can be greater distributed.

    BT has already been analyzing allotted and side computing capabilities and has already deployed distributed content caches across the UK. McRae noted that BT is now seeing greater value in its local change (critical workplace) facilities than it did a few years ago, because the skill so as to add compute performance in those areas "gives us a major asset to build on," he noted.

    however that doesn't mean that all of BT's circa 5,500 native exchanges will turn into disbursed records core facilities: McRae believes about 2,000 could be effective in the long run to house side computing in addition to broadband entry systems and "inserting area compute resources in about 100 areas would doubtless be ample to beginning."

    And whereas BT has found the wire (critical workplace Re-architected as a Datacenter) trends instructive, "we have a distinct set of wants" that are being met with trends within Telecom Infra venture (TIP) and through work BT is accomplishing with Dell. (See BT, Dell EMC team on Disaggregated Switching R&D.)

    So what occurs after the Bristol trial? an outstanding deal of counsel should be gathered from the two days, mentioned Bristol is Open CTO Dimitra Simeonidou, an optical know-how expert and professor of high performance networks at Bristol school. She noted that services could be run over 4G and pre-5G connections and facts gathered to note the change in performance, community impact and so on. counsel could be shared from the scan with the broader community she delivered: "We need to create a 5G asset for the whole of the united kingdom," she talked about, notwithstanding it looks very possible that important, exact efficiency insights might no longer go much additional than the key participants.

    For BT, McRae can be attempting to find insights that may feed into the operator's 5G community planning and price models. As anticipated he wasn't willing to supply a figure for how a great deal capex BT would need to build out a nationwide 5G community with allotted NR radio access, side computing, actual-time analytics and ultra excessive-pace backhaul, however there's, he notes, "a 5-year plan, maybe not nearly as good because it could be presently, but we're getting nearer to a more described plan. there may be still plenty to be mindful about how 5G will feed into BT's usual provider and architecture plans and we're nevertheless taking a look at that."

    these plans do not consist of new spectrum license fees, round which there is still a fine deal of uncertainty -- not simply around the fee however additionally the timing, as BT is currently involved in a dispute concerning potential spectrum allocation rules. (See Eurobites: UK Regulator Accuses BT & three of Erecting 5G Roadblocks and scorching Air: UK 5G Spectrum Dispute .)

    McRae disregarded the theory that the spectrum dispute might have an effect on BT's 5G plans. "any individual who thinks that... doesn't recognize what they're talking about," he proclaimed.

    And in case you feel that sounds combative, are attempting asking him if he's looking forward to 6G networks... (See When Will 6G Arrive? with a bit of luck by no means, Says BT's McRae.)

    — Ray Le Maistre, overseas group Editor, gentle analyzing

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    EMC E20-065 Exam (Advanced Analytics Specialist Exam for Data Scientists) Detailed Information

    E20-065 - Advanced Analytics Specialist Exam for Data Scientists

    EMC Education Services

    Data Scientist, Advanced Analytics Specialist Version 1.0 (EMCDS)

    Certification Description

    Proven Professional Website

    Proven Professional Community

    Certification Overview

    This certification is designed to build on the skills developed in the Associate level course in Data Science (Data Science & Big Data Analytics) and help aspiring Data

    Scientists continue to evolve and expand their skill sets. The main growth areas include advanced analytical methods, Hadoop (and Pig, Hive, HBase), Social Network Analysis, Natural Language Processing, and Visualization methods. The development

    of these skills and the use of these methods provide the data scientist the ability to identify and communicate conclusions and recommendations in order to solve business challenges across many domains.

    Certification Requirements

    To complete the requirements for this certification you must:

  • Achieve the following Associate level certification:

  • Pass the following Specialist exam on or after May 1, 2015:

  • Note: These details reflect certification requirements as of May 1, 2015.

    The Proven Professional Program periodically updates certification requirements.

    *Please check the Proven Professional CertTracker website regularly for the latest information and for other options to meet the Associate level requirement.

    EMC Education Services

    E20-065 Advanced Analytics Specialist Exam for Data Scientists

    Exam Description


    This exam is a qualifying exam for the Data Scientist, Advanced Analytics Specialist certification.

    This exam focuses on MapReduce, the Hadoop Ecosystem, NoSQL, Natural Language Processing, Social Network Analysis, Data Science Theory and Methods, and Data Visualization.


    90 Minutes

    (60 Questions)

    Pass Score: 63

    EMC provides free practice tests to assess your knowledge in preparation for the exam. Practice tests allow you to become familiar with the topics and question types you will

    find on the proctored exam. Your results on a practice test offer one indication of how prepared you are for the proctored exam and can highlight topics on which you need to study and train further. A passing score on the practice test does not guarantee a passing score on the certification exam.

    Exam Topics

    Topics likely to be covered on this exam include:

    MapReduce (15%)

    MapReduce framework and its implementation in Hadoop

    Practice Test

    Exam - E20-065

    The percentages after each topic above reflects the approximate distribution of the total question set across the exam.

    Recommended Training

    Course Title

    Course Number



    Advanced Methods in Data Science and Big Data Analytics




    Advanced Methods in Data Science and Big Data Analytics - Video ILT


    Video ILT-Stream


    Advanced Methods in Data Science and Big Data Analytics - Online ILT


    Online ILT


    The following curriculum is recommended for candidates preparing to take this exam. Please complete one of the following courses

    Note: These exam description details reflect contents as of May 1, 2015.

    The Proven Professional Program periodically updates exams to reflect technical currency and relevance. Please check the Proven Professional website regularly for the latest information.

    EMC2, EMC, EMC Proven, and the EMC logo are registered trademarks or trademarks of EMC Corporation in the United States and other countries. VMware is a registered trademark or trademark of VMware, Inc., in the United States and other jurisdictions. © Copyright 2015 EMC Corporation. All rights reserved. Published in the USA. 5/15 Exam Description

    EMC believes the information in this document is accurate as of its publication date. The information is subject to change without notice.


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