Certification: EMCDS - EMC Data Science Specialist

Related Exam: EMC E20-065 (Advanced Analytics Specialist Exam for Data Scientists)

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E20-065 Questions & Answers

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  • The Dell Data Science Specialist or DCS-DC: Data Scientist, Advanced Analytics certification is designed for candidates to develop and deepen their skills gained at the associate level. This implies that they gain more advanced skills and knowledge of analytical methods, Hadoop (and Pig, Hive, HBase), Natural Language Processing, Visualization, and Social Network Analysis methods. It also means that EMCDS candidates possess skills in resolving enterprise issues, which testifies that they are real professionals in the chosen domain. The Specialist - Data Scientist, Advanced Analytics Version 1.0 accreditation can be gained only after getting the associate-level designation and after passing the E20-065 Advanced Analytics Specialist Exam for Data Scientists.

    Exam E20-065 highlights such subject areas as the Hadoop Ecosystem, MapReduce, NoSQL, Social Network Analysis, Natural Language Processing, Data Visualization, Data Science Theory and Methods. This test contains 60 questions which you have to complete within 90 minutes. And to succeed in this evaluation, you need to score 63% of the correct answers.

    Speaking of the topics included, the exam contains 6 of them in which you should be competent. So, the first topic is centered on MapReduce. Here, you should be proficient in using MapReduce framework and its usage in Hadoop. In addition, you should distinguish Hadoop Distributed File System (HDFS) and Yet Another Resource Negotiator (YARN).

    The second topic revolves around Hadoop Ecosystem and NoSQL. This implies that you are competent in using Pig, Hive, NoSQL, HBAse, and Spark.

    The third topic refers to Natural Language Processing. In this section, you should be knowledgeable of NLP, four main categories, text processing, and language modeling.

    The fourth and the largest topic in the exam is dedicated to Social Network Analysis, simply known as SNA. This part will evaluate your capacity in SNA, Graph Theory, Communities, network problems, and SNA tools.

    The fifth part deals with data science theory and methods. Here, you will be tested on simulation, random forests, maximum entropy, and multinomial logistic regression.

    The final topic focuses on data visualization. In this domain, you will be required to have a solid comprehension of perception and visualization, as well as visualization of multivariate data.

    To be completely prepared for the exam, the vendor offers you to use free practice tests in your prep process. This will help you fill in the gaps in your knowledge, know the topics covered, and the types of exam questions included in the exam. Moreover, you can choose one of the three courses provided by the vendor. Each of them is offered in a specific mode, such as instructor-led, video or online.

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