Associate - Data Science and Big Data Analytics v2 Exam

Question 1

A data scientist is investigating a new database column that needs to be integrated into their model. The column contains 10,000 labels with 300 unique values. Which data structure should be used when working in R?
Response:

A. Array

B. Data frame

C. Factor

D. List

Correct Answer: C

Question 2

Which data asset is an example of quasi-structured data?
Response:

A. Webserver log

B. News article

C. Database table

D. XML data file

Correct Answer: A

Question 3

Which activity is performed in the Operationalize phase of the Data Analytics Lifecycle?
Response:

A. Define the process to maintain the model

B. Try different variables

C. Try different analytical techniques

D. Transform existing variables

Correct Answer: C

Question 4

Refer to the exhibit.

What provides the decision tree for predicting whether or not someone is a good or bad credit risk. What would be the assigned probability, p(good), of a single male with no known savings?
Response:

A. 0.498

B. 0

C. 0.6

D. 0.83

Correct Answer: D

Question 5

You do a Student's t-test to compare the average test scores of sample groups from populations A and B. Group A averaged 10 points higher than group B. You find that this difference is significant, with a p-value of 0.03.
What does that mean?
Response:

A. There is a 3% chance that you have identified a difference between the populations when in reality there is none.

B. There is a 3% chance that a sample group from population A will score 10 points higher that a sample group from population B.

C. The difference in scores between a sample from population A and a sample from population B will tend to be within 3% of 10 points.

D. There is a 97% chance that a sample group from population A will score 10 points higher that a sample group from population B.

Correct Answer: A

Question 6

Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.
Response:

A. Driving

B. Predicting

C. Optimizing

D. Discarding

Correct Answer: B

Question 7

In a t-test with unknown variance, what values are used to calculate the t-statistic?
Response:

A. Mean, sample standard deviation, and population size

B. Mean, standard deviation, and population size

C. Sample mean, sample standard deviation, and sample size

D. Sample mean, standard deviation, and sample size

Correct Answer: C

Question 8

What is the primary function of the NameNode in Hadoop?
Response:

A. Runs some number of mapping tasks against its assigned data

B. Keeps track of which MapReduce jobs have been assigned to each TaskTracker

C. Acts as a regulator/resolver among clients and DataNodes

D. Monitors the state of each JobTracker node and signals an event if unavailable

Correct Answer: C

Question 9

Which data asset is an example of unstructured data?
Response:

A. Webserver log

B. News article text

C. Database table

D. XML data file

Correct Answer: B

Question 10

You have the following corpus of texts:
"The cat hit the dog."
"The dog bit the mail carrier."
"The mail carrier chased the truck."
"The truck hit the wall while avoiding the dog that chased the cat."
"The cat climbed the wall."
If the tf-idf metric is used to score relevance for search and retrieval, which term has the highest discriminatory power?
Response:

A. Truck

B. Chased

C. Dog

D. Bit

Correct Answer: D

Question 11

When is a Naive Bayesian Classifier model for classification preferred versus a Logistic Regression model?
Response:

A. When using several categorical input variables with over 1000 possible values each

B. When an estimate of the probability of an outcome is needed, not just which class it is in

C. When all input variables are numerical

D. When some of the input variables might be correlated

Correct Answer: A

Question 12

When is a Wilcoxon Rank-Sum test used?
Response:

A. When the data can be easily sorted

B. When the data cannot be easily sorted

C. When an assumption about the distribution of the populations cannot be made

D. When the populations represent the sums of other values

Correct Answer: C

Question 13

A data scientist plans to classify the sentiment polarity of 10, 000 product reviews collected from the Internet. What is the most appropriate model to use? Suppose labeled training data is available.
Response:
Naive Bayesian classifier

A. Linear regression

B. Logistic regression

C. K-means clustering

Correct Answer: A

EMC Associate - Data Science and Big Data Analytics v2 - DEA-7TT2 Exam Practice Test

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