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Microsoft DP-600 Exam Syllabus Topics:

Topic	Details
Topic 1	Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.
Topic 2	Maintain a data analytics solution: This section is all about implementing security and governance. In this topic, you also get information about maintaining the analytics development lifecycle.
Topic 3	Prepare data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q159-Q164):

NEW QUESTION # 159
Hotspot Question
You have the following T-SQL statement.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 160
Hotspot Question
You have a Microsoft Power Bl project that contains a file named definition.pbir. definition.pbir contains the following JSON.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 161
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 a Fabric tenant that contains a new semantic model in OneLake.
You use a Fabric notebook to read the data into a Spark DataFrame.
You need to evaluate the data to calculate the min, max, mean, and standard deviation values for all the string and numeric columns.
Solution: You use the following PySpark expression:
df.describe().show()
Does this meet the goal?

A. Yes
B. No

Answer: A

Explanation:
https://learn.microsoft.com/en-us/dotnet/api/microsoft.spark.sql.dataframe.describe?view=spark- dotnet

NEW QUESTION # 162
You have a Fabric workspace that contains a Microsoft Power BI report named Report1. Your organization does not currently have an enterprise data warehouse. You need to leverage dataflows to bring data into a Power BI semantic model. You notice that access to one of the data sources is restricted to narrow time windows.
What should you do?

A. Create a linked table that will reference the data from another dataflow.
B. Create a staging dataflow that will only copy the data from the source as-is.
C. Create a transformation dataflow that will apply all the necessary data transformations.
D. Create a shared dataset that can be reused by multiple Power BI reports.

Answer: B

NEW QUESTION # 163
What should you recommend using to ingest the customer data into the data store in the AnatyticsPOC workspace?

A. a stored procedure
B. a Spark notebook
C. a pipeline that contains a KQL activity
D. a dataflow

Answer: D

NEW QUESTION # 164
......

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