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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 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.

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.

Preparing for the E20-065 exam requires a significant amount of study and practice. Many candidates choose to enroll in training programs or use study guides to prepare for the exam, and may also supplement their studies with additional reading and research. The exam is typically administered in a computer-based format, with multiple-choice questions and performance-based tasks that require candidates to analyze and apply their knowledge.

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The E20-065 exam is highly respected in the field of data analytics and is recognized globally as a mark of excellence. It is particularly valuable for individuals who work in roles such as data scientists, business analysts, or data engineers.

The exam tests candidates on their ability to analyze and interpret data, develop predictive models, and use statistical techniques to extract insights from large datasets. It also covers topics such as data visualization, data integration, and data management, which are essential for effective data analytics. Candidates should use reputed exam preparation resource like killexams.com to download PDF exam questions, practice questions and exam simulator software. These practice questions consists of actual questions obtained by authentic resources and verified by certified experts. These questions and answers improves candidate's knowledge and test taking experience.

To pass the E20-065 exam, candidates must demonstrate their ability to work with a variety of data sources, including structured and unstructured data, and must be able to use a variety of tools and techniques to analyze and interpret that data. They must also be able to communicate their findings effectively to stakeholders, and must have a deep understanding of the ethical and legal considerations surrounding data analytics.

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E20-065 exam is a comprehensive test that requires a high level of technical knowledge and expertise in the field of data analytics. For those who are able to pass the exam and obtain the certification, it is a mark of distinction that demonstrates their commitment to excellence in the field and their ability to effectively analyze and interpret data in any organization.

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