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| Section | Objectives |
|---|---|
| Optimize query performance | - Analyze query performance
|
| Perform automation | - Automate database tasks
|
| Monitor and optimize operational resources | - Optimize resources
|
| Implement a secure environment | - Manage database authentication and authorization
|
| Plan and implement a high availability and disaster recovery environment | - Backup and restore
|
| Plan and implement data platform resources | - Plan and configure security for the data platform
|
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NEW QUESTION # 28
Hotspot Question
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:
Explanation:
Box 1: CREATE EXTERNAL TABLE
An external table points to data located in Hadoop, Azure Storage blob, or Azure Data Lake Storage. External tables are used to read data from files or write data to files in Azure Storage.
With Synapse SQL, you can use external tables to read external data using dedicated SQL pool or serverless SQL pool.
Syntax:
CREATE EXTERNAL TABLE { database_name.schema_name.table_name |
schema_name.table_name | table_name }
( <column_definition> [ ,...n ] )
WITH (
LOCATION = 'folder_or_filepath',
DATA_SOURCE = external_data_source_name,
FILE_FORMAT = external_file_format_name
Box 2. OPENROWSET
When using serverless SQL pool, CETAS is used to create an external table and export query results to Azure Storage Blob or Azure Data Lake Storage Gen2.
Example:
AS
SELECT decennialTime, stateName, SUM(population) AS population FROM
OPENROWSET(BULK
'https://azureopendatastorage.blob.core.windows.net/censusdatacontainer/ release/us_population_county/year=*/*.parquet', FORMAT='PARQUET') AS [r] GROUP BY decennialTime, stateName GO Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-tables-external-tables
NEW QUESTION # 29
HOTSPOT
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.
Hot Area:
Answer:
Explanation:
Section: [none]
Explanation:
Box 1: delete a row from Table1
Members of the db_datawriter fixed database role can add, delete, or change data in all user tables.
Box 2: db_datareader
Members of the db_datareader fixed database role can read all data from all user tables.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/authentication-access/database-level-roles
NEW QUESTION # 30
You are creating a managed data warehouse solution on Microsoft Azure.
You must use PolyBase to retrieve data from Azure Blob storage that resides in parquet format and load the data into a large table called FactSalesOrderDetails.
You need to configure Azure Synapse Analytics to receive the data.
Which four actions should you perform 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:
1 - Create a master key on database.
2 - Create an external data source for Azure Blob storage.
3 - Create an external file format to map the parquet files.
4 - Create an external table FactSalesOrderDetails
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-configure-azure-blob-storage
NEW QUESTION # 31
You have an Azure subscription.
You plan to migrate 10 on-premises Microsoft SQL Server instances to Azure.
You need to ensure that the migrated environment can be managed by using multiserver administration and supports master/target (MSX/TSX) jobs. The solution must minimize administrative effort.
Which SQL deployment options should you select as the master server (MSX) and the target server (TSX)? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 32
You have several Azure SQL databases on the same Azure SQL Database server in a resource group named ResourceGroup1.
You must be alerted when CPU usage exceeds 80 percent for any database. The solution must apply to any additional databases that are created on the Azure SQL server.
Which resource type should you use to create the alert?
Answer: B
Explanation:
There are resource types related to application code, compute infrastructure, networking, storage + databases.
You can deploy up to 800 instances of a resource type in each resource group.
Some resources can exist outside of a resource group. These resources are deployed to the subscription, management group, or tenant. Only specific resource types are supported at these scopes.
Reference:
https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/resource-providers-and-types Basic Concept: This question tests Azure monitoring and performance management, including which metric, log destination, or alerting behavior fits the operational requirement.
Why C is Correct: SQL Databases is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. In this scenario, the important constraint is: You must be alerted when CPU usage exceeds 80 percent for any database. SQL Databases satisfies that constraint without adding an unrelated service or manual process.
Why A is Wrong: Resource Groups is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It would produce a different operational signal than the one needed to investigate, alert, or tune the workload in this question.
Why B is Wrong: SQL Servers is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It does not expose the required metric, query history, wait/blocking signal, or tuning mechanism; using it would not give the administrator the evidence requested.
Why D is Wrong: SQL Virtual Machines is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It would produce a different operational signal than the one needed to investigate, alert, or tune the workload in this question.
NEW QUESTION # 33
......
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