EMC E20-065 Online Practice Questions and Exam Preparation

EMC E20-065 Online Questions & Answers

• Question 31:

  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
  C. Position, size, and orientation

• Question 32:

  What is a characteristic of stemming?

  A. Reduces words of variant forms to their base forms based on a set of heuristics
  B. Can be performed by calling the stemming!) function on a lemma in NLTK
  C. Can be performed by calling the stemming() function on a synset in NLTK
  D. Reduces words of variant forms to their base forms based on a dictionary
  A. Reduces words of variant forms to their base forms based on a set of heuristics

• Question 33:

  Consider dataset that resides in HDFS. Which tool natively provides the capability to run a Random Forests model against this data?

  A. Mahout
  B. Pig
  C. Hive
  D. HBase
  A. Mahout

• Question 34:

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

  Refer to the exhibit.

  

  B. 1
  C. 2
  D. 3
  A

• Question 35:

  What is the most likely reason for an HBase table to contain millions of columns?

  A. Data is imported from a relational database table
  B. Data is stored in the column qualifier
  C. There are thousands of columns families
  D. The column names are randomly generated
  B. Data is stored in the column qualifier

• Question 36:

  Which scenario is a proper use case for multinomial logistic regression?

  A. A marketing firm wants to estimate the personal income of a group of potential customers. Using inputs such as age, education, marital status, and credit card expenditures, a data scientist is building a model that will estimate a person's income
  B. A logistic distribution company wants to minimize the distance traveled by its delivery trucks. A data scientist is building a model to determine the optimal route for each of tis trucks
  C. To improve the initial routing of a loan application, a financial institution plans to classify a loan application as Approve, Reject, or Possibly_Approve. Based on the company's historical loan application data, a data scientist is building a model to assign one of these three outcomes to each submitted application.
  D. A manufacturer plans to determine the optimal number of workers to employ in an assembly line process. Utilizing the observed distributions of the task durations of each process step, a data scientist is building a model to mimic the interactions and dependencies between each stage in the manufacturing process.
  C. To improve the initial routing of a loan application, a financial institution plans to classify a loan application as Approve, Reject, or Possibly_Approve. Based on the company's historical loan application data, a data scientist is building a model to assign one of these three outcomes to each submitted application.

• Question 37:

  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
  A. Separate cluster and resource management

• Question 38:

  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
  A. Ability to use about six hops to reach any other node in an extremely large social network

• Question 39:

  What is a typical use of a UDF in Pig?

  A. Creating functionality outside of what is provided by the built-in functions
  B. Providing Functional access to user-defined data in HDFS
  C. Providing advanced analytics to Hadoop
  D. Providing an interface from Pig to Microsoft Excel for easier data manipulation
  A. Creating functionality outside of what is provided by the built-in functions

• Question 40:

  A hotel chain runs a simul-ation on room pricing. They want to estimate revenue, per hotel, within +/- $10 with 95% confidence (Za/2=1.96). The estimated revenue standard deviation is $5000 based on previous booking data. What is the optimal number of simulation trials to run?

  A. A 32-bit operating system was used
  B. The same number of trials was used
  C. A linear congruential generator (LCG) was used (or pseudo-random number generation
  D. Different seeds tor the random number generator were used.
  C. A linear congruential generator (LCG) was used (or pseudo-random number generation