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| Section | Objectives |
|---|---|
| Topic 1: Perform automation | - Automate database tasks
|
| Topic 2: Implement a secure environment | - Implement data protection
|
| Topic 3: Plan and implement data platform resources | - Plan and configure security for the data platform
|
| Topic 4: Plan and implement a high availability and disaster recovery environment | - Backup and restore
|
| Topic 5: Monitor and optimize operational resources | - Monitor database performance
|
| Topic 6: Optimize query performance | - Analyze query performance
|
>> Microsoft DP-300 Standard Answers <<
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NEW QUESTION # 53
You have a database on a SQL Server on Azure Virtual Machines instance.
The current state of Query Store for the database is shown in the following exhibit.
Answer:
Explanation:
Answer as in image below.
NEW QUESTION # 54
You are building a database in an Azure Synapse Analytics serverless SQL pool.
You have data stored in Parquet files in an Azure Data Lake Storage Gen2 container.
Records are structured as shown in the following sample.
The records contain two applicants at most.
You need to build a table that includes only the address fields.
How should you complete the Transact-SQL statement? 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/azure/synapse-analytics/sql/develop-tables-external-tables
NEW QUESTION # 55
Which audit log destination should you use to meet the monitoring requirements?
Answer: B
Explanation:
Explanation
Scenario: Use a single dashboard to review security and audit data for all the PaaS databases.
With dashboards can bring together operational data that is most important to IT across all your Azure resources, including telemetry from Azure Log Analytics.
Note: Auditing for Azure SQL Database and Azure Synapse Analytics tracks database events and writes them to an audit log in your Azure storage account, Log Analytics workspace, or Event Hubs.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/visualize/tutorial-logs-dashboards
NEW QUESTION # 56
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 # 57
Drag and Drop Question
You have an Azure SQL database named DB1. DB1 contains a table that has a column named Col1.
You need to encrypt the data in Col1.
Which four actions should you perform for DB1 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:
Explanation:
Use the following steps for column level encryption:
1. Create a database master key (Step 1)
2. Create a self-signed certificate for SQL Server (Step 2)
3. Configure a symmetric key for encryption (Step 3)
4. Encrypt the column data (this includes Open the symmetric key - Step 4)
5. Query and verify the encryption
Step 1: Create a database master key
Create a database master key for column level SQL Server encryption
In this first step, we define a database master key and provide a password to protect it. It is a symmetric key for protecting the private keys and asymmetric keys.
Step 2: Create a certificate.
Create a self-signed certificate for Column level SQL Server encryption In this step, we create a self-signed certificate using the CREATE CERTIFICATE statement. You might have seen that an organization receives a certificate from a certification authority and incorporates into their infrastructures. In SQL Server, we can use a self-signed certificate without using a certification authority certificate.
Step 3: Create a symmetric key.
Configure a symmetric key for column level SQL Server encryption.
In this step, we will define a symmetric key that you can see in the encryption hierarchy as well.
The symmetric key uses a single key for encryption and decryption as well.
Step 4: Open the symmetric key
Data encryption.
Let's encrypt the data in this newly added column.
In a query window, open the symmetric key and decrypt using the certificate. We need to use the same symmetric key and certificate name that we created earlier Etc.
Reference:
https://www.sqlshack.com/an-overview-of-the-column-level-sql-server-encryption/
NEW QUESTION # 58
......
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