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NEW QUESTION 31
You are optimizing a dataflow in a Power Bl Premium capacity. The dataflow performs multiple joins. You
need to reduce the load time of the dataflow.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each
correct selection is worth one point.

  • A. Place the ingestion operations and transformation operations in separate dataflows.
  • B. Place the ingestion operations and transformation operations in a single dataflow.
  • C. Execute foldable operations before non-foldable operations.
  • D. Execute non-foldable operations before foldable operations.
  • E. Reduce the memory assigned to the dataflows.

Answer: B,C

 

NEW QUESTION 32
You need to recommend a solution to ensure that sensitivity labels are applied. The solution must minimize administrative effort.
Which three actions should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. From the Power Bl Admin portal, set Make certified content discoverable to Enabled.
  • B. From the Power Bl Admin portal, set Apply sensitivity labels from data sources to their data in Power Bl to Enabled.
  • C. In SQLDW. apply sensitivity labels to the columns in the Customer and CustomersWithProductScore tables.
  • D. In the Power Bl datasets, apply sensitivity labels to the columns in the Customer and CustomersWithProductScore tables.
  • E. From the Power Bl Admin portal, set Allow users to apply sensitivity labels for Power Bl content to Enabled.

Answer: A,D,E

Explanation:
A Synapse Analytics dedicated SQL pool is named SQLDW.
Customer contact data in SQLDW and the Power BI dataset must be labeled as Sensitive. Records must be kept of any users that use the sensitive data.
A (not B): Enable sensitivity labels
Sensitivity labels must be enabled on the tenant before they can be used in both the service and in Desktop.
To enable sensitivity labels on the tenant, go to the Power BI Admin portal, open the Tenant settings pane, and find the Information protection section.
In the Information Protection section, perform the following steps:
Open Allow users to apply sensitivity labels for Power BI content.
Enable the toggle.
D (not C): When data protection is enabled on your tenant, sensitivity labels appear in the sensitivity column in the list view of dashboards, reports, datasets, and dataflows.
E: Power BI Tenant Discovery Setting include Make certified content discoverable.
Reference:
https://docs.microsoft.com/en-us/power-bi/enterprise/service-security-apply-data-sensitivity-labels
https://support.nhs.net/knowledge-base/power-bi-guidance/

 

NEW QUESTION 33
You have new security and governance protocols for Power Bl reports and datasets. The new protocols must
meet the following requirements.
* New reports can be embedded only in locations that require authentication.
* Live connections are permitted only for workspaces that use Premium capacity datasets.
Which three actions should you recommend performing in the Power Bl Admin portal? Each correct answer
presents part of the solution. NOTE: Each correct selection is worth one point.

  • A. From Embed Codes, delete all the codes.
  • B. From Capacity settings, set XMLA Endpoint to Read Write.
  • C. From Tenant settings, disable Allow XMLA endpoints and Analyze in Excel with on-premises datasets.
  • D. From Tenant settings, set Publish to web to Disable.
  • E. From the Premium per user settings, set XMLA Endpoint to Off.

Answer: C

 

NEW QUESTION 34
You use an Apache Spark notebook in Azure Synapse Analytics to filter and transform data.
You need to review statistics for a DataFrame that includes:
The column name
The column type
The number of distinct values
Whether the column has missing values
Which function should you use?

  • A. display(df, summary=true)
  • B. %%lsmagic
  • C. display(df)
  • D. %%configure
  • E. displayHTML()

Answer: A

Explanation:
display(df) statistic details
You can use display(df, summary = true) to check the statistics summary of a given Apache Spark DataFrame that include the column name, column type, unique values, and missing values for each column. You can also select on specific column to see its minimum value, maximum value, mean value and standard deviation.

 

NEW QUESTION 35
......

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