E20-065 Online Practice Questions and Answers

Which is NOT a tenet of the Apache Pig Philosophy?

A. It must be easily commanded

B. Any type of data can be processed

C. Hadoop is required

D. Data should be processed quickly

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

Which graph structure would best model the relationship between job seekers and employers?

A. Bipartite

B. Weighted

C. Directed acyclic

D. Ranked

In a connected, undirected graph of 5 nodes with 10 edges, how many more edges need to be added to make the clustering coefficient of every node equal 1 ?

A. 0

B. 5

C. 10

D. 15

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.

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

Which problem type is best suited for simulation?

A. One with a few. non-random input variables

B. One that has a closed-form solution

C. One with numerous, non-random Input-variables

D. One that compares "what-if scenarios

What is a characteristic of the trigram language model?

A. Based on the second-order Markov process

B. Equivalent to trigram hidden Markov models

C. Uses smoothing to reduce the high dimensionality in text

D. Can be used for part-of -speech tagging

What is a characteristic of lemmatization?

A. Can be performed by calling the synset () function on a lemma in LNTK

B. Can be performed by calling the lemma() function on a synset in LNTK

C. Reduces words of variant forms to their base forms based on a set of heuristics

D. Reduces words of variant forms to their base forms based on a dictionary

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