EMC Associate - Data Science and Big Data Analytics v2 - DEA-7TT2 Exam Practice Test
Refer to the Exhibit.
You are going into a meeting where you anticipate your manager will have a question on your dataset. Specifically, your manager will want to know about customers that are classified as renters with a good credit status. In order to prepare for the meeting, you create a rule: RENTER => GOOD CREDIT.
What is the confidence of this rule?
Response:
You are going into a meeting where you anticipate your manager will have a question on your dataset. Specifically, your manager will want to know about customers that are classified as renters with a good credit status. In order to prepare for the meeting, you create a rule: RENTER => GOOD CREDIT.
What is the confidence of this rule?
Response:
Correct Answer: C
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There are three criterions for big data analytics projects which include:
- Decision speed
- Analysis flexibility
What is the additional criteria?
Response:
- Decision speed
- Analysis flexibility
What is the additional criteria?
Response:
Correct Answer: D
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What describes a true limitation of a Logistic Regression method?
Response:
Response:
Correct Answer: C
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You have used k-means clustering to classify behavior of 100, 000 customers for a retail store. You decide to use household income, age, gender and yearly purchase amount as measures. You have chosen to use 8 clusters and notice that 2 clusters only have 3 customers assigned.
What should you do?
Response:
What should you do?
Response:
Correct Answer: A
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What is an appropriate data visualization to use in a presentation for an analyst audience?
Response:
Response:
Correct Answer: C
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In data visualization, what is used to focus the audience on a key part of a chart?
Response:
Response:
Correct Answer: D
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You are studying the behavior of a population, and you are provided with multidimensional data at the individual level. You have identified four specific individuals who are valuable to your study, and would like to find all users who are most similar to each individual.
Which algorithm is the most appropriate for this study?
Response:
Which algorithm is the most appropriate for this study?
Response:
Correct Answer: B
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Refer to the exhibit.
You have created a density plot of purchase amounts from a retail website as shown. What should you do next?
Response:
You have created a density plot of purchase amounts from a retail website as shown. What should you do next?
Response:
Correct Answer: A
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Refer to the exhibit.
In the exhibit, the x-axis represents the derived probability of a borrower defaulting on a loan. Also in the exhibit, the pink represents borrowers that are known to have not defaulted on their loan, and the blue represents borrowers that are known to have defaulted on their loan.
Which analytical method could produce the probabilities needed to build this exhibit?
Response:
In the exhibit, the x-axis represents the derived probability of a borrower defaulting on a loan. Also in the exhibit, the pink represents borrowers that are known to have not defaulted on their loan, and the blue represents borrowers that are known to have defaulted on their loan.
Which analytical method could produce the probabilities needed to build this exhibit?
Response:
Correct Answer: B
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The web analytics team uses Hadoop to process access logs. They now want to correlate this data with structured user data residing in their massively parallel database. Which tool should they use to export the structured data from Hadoop?
Response:
Response:
Correct Answer: D
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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:
What does that mean?
Response:
Correct Answer: D
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What is a key consideration when preparing a presentation intended for sponsors?
Response:
Response:
Correct Answer: A
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In a fitted ARIMA(1,2,3) model, how many differences are applied?
Response:
Response:
Correct Answer: B
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A study was run to identify general dietary patterns among the residents of a small town. Twelve thousand people were surveyed and the data was subject to K-means clustering. In one of the iterations, there were six clusters formed with 38, 1560, 1799, 2560, 2893, and 3150 respondents.
What should be the next step in identifying optimal clusters?
Response:
What should be the next step in identifying optimal clusters?
Response:
Correct Answer: D
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In data visualization, which type of chart is recommended to represent frequency data?
Response:
Response:
Correct Answer: A
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