EMC E20-065 Online Practice Questions and Exam Preparation

EMC E20-065 Online Questions & Answers

• Question 41:

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

• Question 42:

  How does Latent Dinchlet Allocation (LDA) interpret a document?

  A. As a single-predefined topic
  B. As a mixture of pre-defined topics
  C. As having a mixture of sentiments
  D. As having a single pre-defined sentiment
  B. As a mixture of pre-defined topics

• Question 43:

  After a client submits a job request to the YARN ResourceManager, what happens next?

  A. The scheduler allocates a container to run an ApplicationMaster
  B. The ResourceManager allocates containers to run map and reduce tasks
  C. The Resource Manager requests load data from the NodeManagers
  D. The ApplicationManager starts an ApplicationMaster
  D. The ApplicationManager starts an ApplicationMaster

• Question 44:

  In a typical multinomial logistic regression analysis involving six outcomes (class labels) and three input variables, how many model parameters will need to be estimated?

  A. 9
  B. 18
  C. 20
  D. 24
  B. 18

• Question 45:

  How can you improve processing performance in HIVE?

  A. Partition tables
  B. Run the SET hive.exec.parallel = false command
  C. Ensure highly normalized tables and use joins
  D. Minimize bucketing
  A. Partition tables

• Question 46:

  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
  C. High TF score and low IDF score

• Question 47:

  Which scenario would be ideal for processing Hadoop data with Hive?

  A. Structured data, real-time processing
  B. Unstructured data; batch processing
  C. Unstructured data; real-time processing
  D. Structured data; batch processing
  B. Unstructured data; batch processing

• Question 48:

  What is a characteristic of stop words?

  A. Used in term frequency analysis
  B. Include words such as "a", "an", and "the"
  C. Meaningful words requiring a parser to stop and examine them
  D. Don't occur often in text
  B. Include words such as "a", "an", and "the"

• Question 49:

  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
  B. Supports applications written in Python, Java, and Scala

• Question 50:

  How is the relative value of a node visualized in a sunburst?

  A. Color
  B. Area
  C. Gradient
  D. Position
  A. Color