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Skills measured

  • Implement and manage a data analytics environment (25–30%)
  • Explore and visualize data (20–25%)
  • Implement and manage data models (25–30%)
  • Query and transform data (20–25%)

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Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Sample Questions (Q46-Q51):

NEW QUESTION # 46
You have an Azure Synapse Analytics serverless SQL pool and an Azure Data Lake Storage Gen2 account.
You need to query all the files in the 'csv/taxi/' folder and all its subfolders. All the files are in CSV format and have a header row.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer: ** Explanation:

NEW QUESTION # 47**
You have an Azure Synapse Analytics serverless SQL pool.
You need to catalog the serverless SQL pool by using Azure Purview.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Create a managed identity in Azure Active Directory (Azure AD).
  • B. Assign the Reader role to the Azure Purview managed service identity (MSI) for the Synapse Analytics workspace.
  • C. Assign the Storage Blob Data Reader role to the Azure Purview managed service identity (MSI) for the storage account associated to the Synapse Analytics workspace.
  • D. Assign the Owner role to the Azure Purview managed service identity (MSI) for the Azure Purview resource group.
  • E. Register a data source.

Answer: A,B,C Explanation:
Authentication for enumerating serverless SQL database resources
There are three places you'll need to set authentication to allow Microsoft Purview to enumerate your serverless SQL database resources:
The Azure Synapse workspace
The associated storage
The Azure Synapse serverless databases
The steps below will set permissions for all three.
Azure Synapse workspace
In the Azure portal, go to the Azure Synapse workspace resource.
On the left pane, selectAccess Control (IAM).
Select the Add button.
Set the Reader role and enter your Microsoft Purview account name, which represents its managed service identity (MSI).
Select Save to finish assigning the role
Azure Synapse Analytics serverless SQL pool catalog Purview Azure Purview managed service identity Storage account In the Azure portal, go to the Resource group or Subscription that the storage account associated with the Azure Synapse workspace is in.
On the left pane, selectAccess Control (IAM).
Select the Add button.
Set the Storage blob data reader role and enter your Microsoft Purview account name (which represents its MSI) in the Select box.
Select Save to finish assigning the role.
Azure Synapse serverless database
Go to your Azure Synapse workspace and open the Synapse Studio.
Select the Data tab on the left menu.
Select the ellipsis (...) next to one of your databases, and then start a new SQL script.
Add the Microsoft Purview account MSI (represented by the account name) on the serverless SQL databases. You do so by running the following command in your SQL script:
SQL
CREATE LOGIN [PurviewAccountName] FROM EXTERNAL PROVIDER;
Apply permissions to scan the contents of the workspace
You can set up authentication for an Azure Synapse source in either of two ways. Select your scenario below for steps to apply permissions.
Use a managed identity
Use a service principal
NEW QUESTION # 48
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 Explanation:
Instead use Solution: You recommend using OPENROWSET WITH to explicitly define the collation for businessName and surveyName as Latin1General100BIN2UTF8.
Query Parquet files using serverless SQL pool in Azure Synapse Analytics.
Important
Ensure you are using a UTF-8 database collation (for example Latin1General100BIN2UTF8) because string values in PARQUET files are encoded using UTF-8 encoding. A mismatch between the text encoding in the PARQUET file and the collation may cause unexpected conversion errors. You can easily change the default collation of the current database using the following T-SQL statement: alter database current collate Latin1General100BIN2UTF8'.
Note: If you use the Latin1General100BIN2UTF8 collation you will get an additional performance boost compared to the other collations. The Latin1General100BIN2UTF8 collation is compatible with parquet string sorting rules. The SQL pool is able to eliminate some parts of the parquet files that will not contain data needed in the queries (file/column-segment pruning). If you use other collations, all data from the parquet files will be loaded into Synapse SQL and the filtering is happening within the SQL process. The Latin1General100BIN2UTF8 collation has additional performance optimization that works only for parquet and CosmosDB. The downside is that you lose fine-grained comparison rules like case insensitivity.
NEW QUESTION # 49
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. the DMV list
  • C. a Server Timings trace
  • D. a Query Plan trace

Answer: C
NEW QUESTION # 50
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 defining a data source and view for the Parquet files. You recommend updating the query to use the view.
Does this meet the goal?

  • A. Yes
  • B. No

Answer: B Explanation:
Solution: You recommend using OPENROWSET WITH to explicitly specify the maximum length for businessName and surveyName.
The size of the varchar(8000) columns are too big. Better reduce their size.
A SELECT...FROM OPENROWSET(BULK...) statement queries the data in a file directly, without importing the data into a table. SELECT...FROM OPENROWSET(BULK...) statements can also list bulk-column aliases by using a format file to specify column names, and also data types.
NEW QUESTION # 51
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