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Advanced Analytics Specialist exam for Data Scientists exam Dumps

E20-065 exam Format | Course Contents | Course Outline | exam Syllabus | 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 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 syllabus on which you need to study and train further. A passing
score on the VCE exam does not ensure 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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DELL-EMC
E20-065
Advanced Analytics Specialist exam for Data Scientists
https://killexams.com/pass4sure/exam-detail/E20-065
QUESTION: 56
Which representation is most suitable for a small and highly connected network?
A. Edge list
B. Adjacency matrix
C. Eigenvector centrality
D. Adjacency list
Answer: B
QUESTION: 57
What is a characteristic of spark?
A. Unable to run map -> reduce execution plans
B. Supports applications written in Python, Java, and Scala
C. Less efficient processing small files than Hadoop MapReduce
D. Supports workflows that can return to previous work steps
Answer: B
QUESTION: 58
If two of the communities are re-designated to be one community, how does that
change the network characteristics? Refer to the exhibit.
A. Neighborhood overlap would increase
B. Network diameter would decrease
C. Modularity would increase
D. Modularity would decrease
Answer: B
QUESTION: 59
What is the maximum degree of a node in an undirected graph with 50 nodes'?
A. 49
B. 50
C. 1250
D. 2500
Answer: A
QUESTION: 60
What best describes the meaning behind the phrase "Six Degrees of Separation'"?
A. Ability to use about six hops to reach any other node in an extremely large social
network
B. Erdos number of all scholars having written papers with Paul Erdos
C. Maximum number of edges between nodes in a graph with a diameter of six
D. Typical distance between nodes that are connected by triadic closure
Answer: A
QUESTION: 61
What do first-order and second-order Markov processes have in common
concerning next word prediction?
A. Both use WordNet to model the probability of the next word
B. Both are unsupervised methods
C. Both provide the foundation to build a trigram language model
D. Neither makes assumptions about the probability of the next word
Answer: C
QUESTION: 62
A marketing team creates a graph using a square for each data point, where the
length of each side is set to the data value. The data values are 10 and 20. What is
the lie factor of the graph?
A. 1
B. 2
C. 3
D. 6
Answer: B
QUESTION: 63
You are analyzing written transcripts of focus groups conducted on product X. You
approach is to use TF-IDF for your analysis. What combination of TF-IDF scores
should you examine to ensure you only report on the most important terms?
A. High TF score and high DF score
B. High TF score and high IDF score
C. High TF score and low IDF score
D. Low TF score and low DF score
Answer: C
QUESTION: 64
What does YARN provide over and above MapReduce?
A. Separate cluster and resource management
B. Parallelized processing
C. Serialized processing
D. Access to HDFS data
Answer: A
QUESTION: 65
What is an intended application of the MapReduce framework?
A. Processing can be broken into smaller pieces
B. Processing a large number of small files
C. Processing in real time is required
D. Processing a small subset of data
Answer: A
QUESTION: 66
What do lemmatization and stemming have in common?
A. Use WordNet
B. Remove common words in a natural language
C. Reduce the high dimensionality in text
D. Use a set of heuristics
Answer: C
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