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Microsoft Exam DP-500 Topic 2 Question 17 Discussion

Actual exam question for Microsoft's DP-500 exam
Question #: 17
Topic #: 2
[All DP-500 Questions]

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have the Power Bl data model shown in the exhibit. (Click the Exhibit tab.)

Users indicate that when they build reports from the data model, the reports take a long time to load.

You need to recommend a solution to reduce the load times of the reports.

Solution: You recommend moving all the measures to a calculation group.

Does this meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: B

pandas.DataFrame.corr computes pairwise correlation of columns, excluding NA/null values.

Incorrect:

* freqItems

pyspark.sql.DataFrame.freqItems

Finding frequent items for columns, possibly with false positives. Using the frequent element count algorithm described in https://doi.org/10.1145/762471.762473, proposed by Karp, Schenker, and Papadimitriou.'

* summary is used for index.

* There is no panda method for rollup. Rollup would not be correct anyway.


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