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E20-065 Online Practice Questions and Answers

Questions 4

Which HDFS feature protects against user errors causing accidental loss of data?

A. Encryption

B. Replication

C. Namenode federation

D. Snapshots

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Questions 5

What runs more efficiently because of Apache Tez?

A. Pig and Hive

B. Hive and HBase

C. Yarn and Spark

D. All MapReduce jobs

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Questions 6

In a social network, what does it mean for a node to have a high degree but low betweenness?

A. The node is adjacent to a few nodes, each of each has high Page Ranks.

B. The node has the only edge connecting its community to the rest of the graph.

C. The node can be easily bypassed by communications taking other shorter paths.

D. The node acts as the hub of the graph.

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Questions 7

You conduct a TFIDF analysis on 3 documents containing raw text and derive TFIDF ("data", document y) = 1.908. You know that the term "data" only appears in document 2.

What is the TF of "data" in document 2?

A. 2 based on the following reasoning: TFIDF = TF1DF = 1 908 You then know that IDF will equal LOG (32)=0.954 Therefore, TFIDF=TF*0.954 = 1.908 TF will then round to 2

B. 4 based on the following reasoning: TFIDF = TF1DF = 1.908 You then know that IDF will equal LOG (3/1 )=0.477 Therefore, TFIDF=TF'0 477 = 1.908 TF will then round to 4

C. 6 based on the following reasoning: TFIDF = TF1DF = 1.908 You then know that IDF will equal 3/1=3 Therefore, TFIDF=TF/3 = 1.908 TF will then round to 6

D. 11 based on the following reasoning: TFIDF = TF1DF = 1908 You then know that IDF will equal LOG(3/2)=0.176 Therefore, TFIDF=TF"0.176 = 1.908 TF will then round to 11

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Questions 8

Assuming the node index starts at 1, what is the out-degree of node 3 in the adjacency matrix shown? Refer to the exhibit.

A. 0

B. 1

C. 2

D. 3

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Questions 9

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

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Questions 10

What elements are needed to determine the time complexity of finding all the cliques of size k in social network analysis?

A. Eigenvector centrality and betwenness

B. Clique size and total number of nodes in the network

C. Number of edges in the network and centrality measure of the cliques

D. Clique size and betweenness centrality

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Questions 11

What is an effective use of color in visualization?

A. Use self-explanatory colors so a legend is unnecessary

B. Maximize use of color to make a more lasting impression

C. Use high contrast colors such as red and blue

D. Minimize use of color except for emphasis

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Questions 12

What are the major components of the YARN architecture?

A. ResourceManager and NodeManager

B. Task Tracker and NameNode

C. HDFS, Tez, and Spark

D. Avro, ZooKeeper, and HDFS

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Questions 13

What are three of the eight visual variables?

A. Selection, orientation, and mark

B. Size, separation, and orientation

C. Position, size, and orientation

D. Position, texture, and selection

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Exam Code: E20-065
Exam Name: Advanced Analytics Specialist Exam for Data Scientists
Last Update: Mar 24, 2024
Questions: 66
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