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NEW QUESTION 38
You need to populate the CustomersWithProductScore table.
How should you complete the stored procedure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION 39
You are using a Python notebook in an Apache Spark pool in Azure Synapse Analytics. You need to present the data distribution statistics from a DataFrame in a tabular view. Which method should you invoke on the DataFrame?

• A. explain
• B. rollup
• C. freqltems
• D. describe

Answer: D

Explanation:
The aggregating statistic can be calculated for multiple columns at the same time with the describe function.
Example:
titanic[["Age", "Fare"]].describe()
Out[6]:
Age Fare
count 714.000000 891.000000
mean 29.699118 32.204208
std 14.526497 49.693429
min 0.420000 0.000000
25% 20.125000 7.910400
50% 28.000000 14.454200
75% 38.000000 31.000000
max 80.000000 512.329200

NEW QUESTION 40
You are using DAX Studio to query an XMLA endpoint.
You need to identify the duplicate values in a column named Email in a table named Subscription.
How should you complete the DAX expression? To answer, drag the appropriate values to the targets. Each value may be used once, more than once. may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION 41
You have a Power Bl dataset that has the query dependencies shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/powerquery-m/table-buffer

NEW QUESTION 42
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 are using an Azure Synapse Analytics serverless SQL pool to query a collection of Apache Parquet files
by using automatic schema inference. The files contain more than 40 million rows of UTF-8-encoded business
names, survey names, and participant counts. The database is configured to use the default collation.
The queries use open row set and infer the schema shown in the following table.

You need to recommend changes to the queries to reduce I/O reads and tempdb usage.
Solution: You recommend using openrowset with to explicitly specify the maximum length for businessName
and surveyName.
Does this meet the goal?

• A. Yes
• B. No

Answer: B

NEW QUESTION 43
......

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