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Exam Number : E20-065
Exam Name : Advanced Analytics Specialist exam for Data Scientists
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E20-065 exam Format | E20-065 Course Contents | E20-065 Course Outline | E20-065 exam Syllabus | E20-065 exam Objectives


Overview
This exam is a qualifying exam for the Specialist - Data Scientist, Advanced
Analytics (DCS-DS) track.
This exam focuses on MapReduce, the Hadoop Ecosystem, NoSQL, Natural
Language Processing, Social Network Analysis, Data Science Theory and Methods,
and Data Visualization.
Dell Technolgies provides free practice exams to assess your knowledge in
preparation for the exam. practice exams 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 questions does not certain a passing score on the certification
exam.

Topics likely to be covered on this exam include:
MapReduce (15%)
• MapReduce framework and its implementation in Hadoop
• Hadoop Distributed File System (HDFS)
• Yet Another Resource Negotiator (YARN)
Hadoop Ecosystem and NoSQL (15%)
• Pig
• Hive
• NoSQL
• HBase
• Sparkv
Natural Language Processing (NLP) (20%)
• NLP and the four main categories of ambiguity
• Text Preprocessing
• Language Modeling
Social Network Analysis (SNA) (23%)
• SNA and Graph Theory
• Communities
• Network Problems and SNA Tools
Data Science Theory and Methods (15%)
• Simulation
• Random Forests
• Multinomial Logistic Regression and Maximum Entropy
Data Visualization (12%)
• Perception and Visualization
Visualization of Multivariate Data



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The E20-065 Advanced Analytics Specialist exam for Data Scientists is designed to test the knowledge and skills of professionals in the field of data analytics. The exam covers Topics such as machine learning, data mining, statistical analysis, and predictive modeling. To pass the exam, candidates must have a deep understanding of these concepts and demonstrate their ability to apply them in real-world scenarios.

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