The Microsoft DP-500 Exam Dumps In PDF File Format

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Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Sample Questions (Q113-Q118):

NEW QUESTION # 113
You have a Power Bl dataset that contains two tables named Table1 and Table2. The dataset is used by one
report.
You need to prevent project managers from accessing the data in two columns in Table1 named Budget and
Forecast.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of
actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

NEW QUESTION # 114
You are creating a Power Bl Desktop report.
You add a Python visual to the report page.
You plan to create a scatter chart to visualize the data.
You add Python code to the Python script editor.
You need to create the scatter chart.
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 115
You have a Power Bl workspace that contains one dataset and four reports that connect to the dataset. The dataset uses Import storage mode and contains the following data sources:
* A CSV file in an Azure Storage account
* An Azure Database for PostgreSQL database
You plan to use deployment pipelines to promote the content from development to test to production. There will be different data source locations for each stage. What should you include in the deployment pipeline to ensure that the appropriate data source locations are used during each stage?

A. selective deployment
B. auto-binding across pipelines
C. parameter rules
D. data source rules

Answer: C

Explanation:
Explanation
Note: Create deployment rules
When working in a deployment pipeline, different stages may have different configurations. For example, each stage can have different databases or different query parameters. The development stage might query sample data from the database, while the test and production stages query the entire database.
When you deploy content between pipeline stages, configuring deployment rules enables you to allow changes to content, while keeping some settings intact. For example, if you want a dataset in a production stage to point to a production database, you can define a rule for this. The rule is defined in the production stage, under the appropriate dataset. Once the rule is defined, content deployed from test to production, will inherit the value as defined in the deployment rule, and will always apply as long as the rule is unchanged and valid.

NEW QUESTION # 116
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 Power Bl dataset named Datasetl.
In Dataset1, you currently have 50 measures that use the same time intelligence logic.
You need to reduce the number of measures, while maintaining the current functionality.
Solution: From DAX Studio, you write a query that uses grouping sets.
Does this meet the goal?

A. Yes
B. No

Answer: A

Explanation:
A grouping is a set of discrete values that are used to group measure fields.

NEW QUESTION # 117
You are optimizing a Power Bl data model by using DAX Studio.
You need to capture the query events generated by a Power Bl Desktop report.
What should you use?

A. an All Queries trace
B. a Server Timings trace
C. the DMV list
D. a Query Plan trace

Answer: B

NEW QUESTION # 118
......

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