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Exam EMC DEA-7TT2 Quick Prep - DEA-7TT2 Latest Training
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EMC DEA-7TT2 certification exam is a comprehensive exam that tests the candidate's knowledge and skills in various areas of data science and big data analytics. It is a vendor-neutral certification that is recognized by leading organizations in the industry. Associate - Data Science and Big Data Analytics v2 Exam certification exam is designed to help professionals stay up-to-date with the latest technologies and trends in the field of big data analytics. By passing the EMC DEA-7TT2 Certification Exam, candidates can demonstrate their expertise in data science and big data analytics and enhance their career opportunities in this field.
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EMC Associate - Data Science and Big Data Analytics v2 Exam Sample Questions (Q142-Q147):
NEW QUESTION # 142
What should be subtracted to remove a simple linear trend from a time series?
Response:
- A. Cubic-spline
- B. Least-squares-fit line
- C. Expected squared deviation
- D. Expected absolute deviation
Answer: B
NEW QUESTION # 143
What is holdout data?
Response:
- A. a subset of the provided data set that is removed by the data scientist because it contains outliers
- B. a subset of the provided data set that is removed by the data scientist because it contains data errors
- C. a subset of the provided data set selected at random and used to initially construct the model
- D. a subset of the provided data set selected at random and used to validate the model
Answer: D
NEW QUESTION # 144
When would you use GROUP BY ROLLUP clause in your OLAP query?
Response:
- A. where only the grand totals are to be included in the output
- B. where all subtotals and grand totals are to be included in the output
- C. where only specific subtotals and grand totals for a combination of variables are to be included in the output
- D. where only the subtotals are to be included in the output
Answer: B
NEW QUESTION # 145
You have fit a decision tree classifier using 12 input variables. The resulting tree used 7 of the 12 variables, and is 5 levels deep. Some of the nodes contain only 3 data points. The AUC of the model is 0.85.
What is your evaluation of this model?
Response:
- A. The tree is probably overfit. Try fitting shallower trees and using an ensemble method.
- B. The tree did not split on all the input variables. You need a larger data set to get a more accurate model.
- C. The AUC is high, and the small nodes are all very pure. This is an accurate model.
- D. The AUC is high, so the overall model is accurate. It is not well-calibrated, because the small nodes will give poor estimates of probability.
Answer: A
NEW QUESTION # 146
Consider these itemsets:
(hat, scarf, coat)
(hat, scarf, coat, gloves)
(hat, scarf, gloves)
(hat, gloves)
(scarf, coat, gloves)
What is the confidence of the rule (gloves -> hat)?
Response:
- A. 66%
- B. 60%
- C. 75%
- D. 80%
Answer: C
NEW QUESTION # 147
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