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NEW QUESTION 35
You have an Azure Synapse Analytics Apache Spark pool named Pool1.
You plan to load JSON files from an Azure Data Lake Storage Gen2 container into the tables in Pool1. The structure and data types vary by file.
You need to load the files into the tables. The solution must maintain the source data types.
What should you do?

A. Use a Get Metadata activity in Azure Data Factory.B. Load the data by using the OPENROWSET Transact-SQL command in an Azure Synapse Analytics
serverless SQL pool.C. Load the data by using PySpark.D. Use a Conditional Split transformation in an Azure Synapse data flow.

Answer: B

Explanation:
Serverless SQL pool can automatically synchronize metadata from Apache Spark. A serverless SQL pool database will be created for each database existing in serverless Apache Spark pools.
Serverless SQL pool enables you to query data in your data lake. It offers a T-SQL query surface area that accommodates semi-structured and unstructured data queries.
To support a smooth experience for in place querying of data that's located in Azure Storage files, serverless SQL pool uses the OPENROWSET function with additional capabilities.
The easiest way to see to the content of your JSON file is to provide the file URL to the OPENROWSET
function, specify csv FORMAT.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/query-json-files
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/query-data-storage

 

NEW QUESTION 36
You have an Azure SQL database named DB1 that contains two tables named Table1 and Table2. Both tables contain a column named a Column1. Column1 is used for joins by an application named App1.
You need to protect the contents of Column1 at rest, in transit, and in use.
How should you protect the contents of Column1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/always-encrypted-database-engine

 

NEW QUESTION 37
You are building an Azure virtual machine.
You allocate two 1-TiB, P30 premium storage disks to the virtual machine. Each disk provides 5,000 IOPS.
You plan to migrate an on-premises instance of Microsoft SQL Server to the virtual machine. The instance has a database that contains a 1.2-TiB data file. The database requires 10,000 IOPS.
You need to configure storage for the virtual machine to support the database.
Which three objects should you create in sequence? To answer, move the appropriate objects from the list of objects to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:
Follow these same steps to create striped virtual disk:
Create Log Storage Pool.
Create Virtual Disk
Create Volume
Box 1: a storage pool
Box 2: a virtual disk that uses stripe layout
Disk Striping: Use multiple disks and stripe them together to get a combined higher IOPS and Throughput limit. The combined limit per VM should be higher than the combined limits of attached premium disks.
Box 3: a volume
Reference:
https://hanu.com/hanu-how-to-striping-of-disks-for-azure-sql-server/

 

NEW QUESTION 38
You have an Azure subscription that contains the resources shown in the following table.

You need to back up db1 to mysqlbackups, and then restore the backup to a new database named db2 that is hosted on SQL1. The solution must ensure that db1 is backed up to a stripe set.
Which three Transact-SQL statements should you execute in sequence? To answer, move the appropriate statements from the list of statements to the answer area and arrange them in the correct order.

Answer:

Explanation:

1 - CREATE CREDENTIAL,,,,,,
2 - BACJUP DATABASE db1,,,,,,
3 - RESTORE DATABASE db2 FROM URL =,,,,,,,
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/sql-server-backup-to-url?view=sql-server-ver15

 

NEW QUESTION 39
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