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The DP-300 certification exam is designed to validate an individual's expertise in administering relational databases on Microsoft Azure. By earning this certification, individuals can demonstrate their proficiency in designing, implementing, and maintaining Azure SQL databases, which is a critical skill for data professionals in today's business world. With the growing demand for cloud-based solutions, the DP-300 Certification is an excellent way to leverage one's skills and enhance career growth in the IT industry.

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Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q145-Q150):

NEW QUESTION # 145
You have an Azure SQL database named db1 on a server named server1.
You use Query Performance Insight to monitor db1.
You need to modify the Query Store configuration to ensure that performance monitoring data is available as soon as possible.
Which configuration setting should you modify and which value should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 146
You have a Microsoft SQL Server database named DB1 that contains a table named Table1.
The database role membership for a user named User1 is shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/authentication-access/database-level-roles

NEW QUESTION # 147
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 - BACKUP 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 # 148
You have an Azure SQL database named sqldb1.
You need to minimize the possibility of Query Store transitioning to a read-only state.
What should you do?

A. Decrease by half the value of Statistics Collection interval
B. Decrease by half the value of Data Flush Interval
C. Double the value of Statistics Collection Interval
D. Double the value of Data Flush interval

Answer: B

Explanation:
Explanation
Explanation:
The Max Size (MB) limit isn't strictly enforced. Storage size is checked only when Query Store writes data to disk. This interval is set by the Data Flush Interval (Minutes) option. If Query Store has breached the maximum size limit between storage size checks, it transitions to read-only mode.
Incorrect Answers:
C: Statistics Collection Interval: Defines the level of granularity for the collected runtime statistic, expressed in minutes. The default is 60 minutes. Consider using a lower value if you require finer granularity or less time to detect and mitigate issues. Keep in mind that the value directly affects the size of Query Store data.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/best-practice-with-the-query-store

NEW QUESTION # 149
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. Load the data by using PySpark.
B. Use a Get Metadata activity in Azure Data Factory.
C. Use a Conditional Split transformation in an Azure Synapse data flow.
D. Load the data by using the OPENROWSET Transact-SQL command in an Azure Synapse Analytics serverless SQL pool.

Answer: D

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 # 150
......

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