DP-300試験無料問題集「Microsoft Administering Relational Databases on Microsoft Azure 認定」
You have an Azure subscription that contains an Azure SQL database named DB1.
You need to host elastic jobs by using DB1. DB1 will also be configured as a job target. The solution must support the use of location-based Conditional Access policies.
What should the elastic jobs use to access DB1?
You need to host elastic jobs by using DB1. DB1 will also be configured as a job target. The solution must support the use of location-based Conditional Access policies.
What should the elastic jobs use to access DB1?
正解：A
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You manage an enterprise data warehouse in Azure Synapse Analytics.
Users report slow performance when they run commonly used queries. Users do not report performance changes for infrequently used queries.
You need to monitor resource utilization to determine the source of the performance issues.
Which metric should you monitor?
Users report slow performance when they run commonly used queries. Users do not report performance changes for infrequently used queries.
You need to monitor resource utilization to determine the source of the performance issues.
Which metric should you monitor?
正解：A
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解説: (GoShiken メンバーにのみ表示されます)
You have an Azure SQL database named DB1 in the General Purpose service tier.
You need to monitor D81 by using SQL insights.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You need to monitor D81 by using SQL insights.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
Explanation:
You are provisioning an Azure SQL database in the Azure portal as 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.
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.
正解：
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/serverless-tier-overview
You have an Azure Data Lake Storage Gen2 container.
Data is ingested into the container, and then transformed by a data integration application. The data is NOT modified after that. Users can read files in the container but cannot modify the files.
You need to design a data archiving solution that meets the following requirements:
* New data is accessed frequently and must be available as quickly as possible.
* Data that is older than five years is accessed infrequently but must be available within one second when requested.
* Data that us older than seven years is NOT accessed. After seven years, the data must be persisted at the lowest cost possible.
* Costs must be minimized while maintaining the required availability.
How should you manage the data? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Data is ingested into the container, and then transformed by a data integration application. The data is NOT modified after that. Users can read files in the container but cannot modify the files.
You need to design a data archiving solution that meets the following requirements:
* New data is accessed frequently and must be available as quickly as possible.
* Data that is older than five years is accessed infrequently but must be available within one second when requested.
* Data that us older than seven years is NOT accessed. After seven years, the data must be persisted at the lowest cost possible.
* Costs must be minimized while maintaining the required availability.
How should you manage the data? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
Explanation:
Box 1: Move to cool storage
The cool access tier has lower storage costs and higher access costs compared to hot storage. This tier is intended for data that will remain in the cool tier for at least 30 days. Example usage scenarios for the cool access tier include:
Short-term backup and disaster recovery
Older data not used frequently but expected to be available immediately when accessed Large data sets that need to be stored cost effectively, while more data is being gathered for future processing Note: Hot - Optimized for storing data that is accessed frequently.
Cool - Optimized for storing data that is infrequently accessed and stored for at least 30 days.
Archive - Optimized for storing data that is rarely accessed and stored for at least 180 days with flexible latency requirements, on the order of hours.
Box 2: Move to archive storage
Example usage scenarios for the archive access tier include:
Long-term backup, secondary backup, and archival datasets
Original (raw) data that must be preserved, even after it has been processed into final usable form Compliance and archival data that needs to be stored for a long time and is hardly ever accessed Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers
You have an Azure Data Factory pipeline that is triggered hourly.
The pipeline has had 100% success for the past seven days.
The pipeline execution fails, and two retries that occur 15 minutes apart also fail. The third failure returns the following error.
What is a possible cause of the error?
The pipeline has had 100% success for the past seven days.
The pipeline execution fails, and two retries that occur 15 minutes apart also fail. The third failure returns the following error.
What is a possible cause of the error?
正解：A
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You have a Microsoft SQL Server 2019 instance in an on-premises datacenter. The instance contains a 4-TB database named DB1.
You plan to migrate DB1 to an Azure SQL Database managed instance.
What should you use to minimize downtime and data loss during the migration?
You plan to migrate DB1 to an Azure SQL Database managed instance.
What should you use to minimize downtime and data loss during the migration?
正解：D
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解説: (GoShiken メンバーにのみ表示されます)
You need to recommend the appropriate purchasing model and deployment option for the 30 new databases.
The solution must meet the technical requirements and the business requirements.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
The solution must meet the technical requirements and the business requirements.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
Explanation:
Box 1: DTU
Scenario:
* The 30 new databases must scale automatically.
* Once all requirements are met, minimize costs whenever possible.
You can configure resources for the pool based either on the DTU-based purchasing model or the vCore- based purchasing model.
In short, for simplicity, the DTU model has an advantage. Plus, if you're just getting started with Azure SQL Database, the DTU model offers more options at the lower end of performance, so you can get started at a lower price point than with vCore.
Box 2: An Azure SQL database elastic pool
Azure SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that have varying and unpredictable usage demands. The databases in an elastic pool are on a single server and share a set number of resources at a set price. Elastic pools in Azure SQL Database enable SaaS developers to optimize the price performance for a group of databases within a prescribed budget while delivering performance elasticity for each database.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/elastic-pool-overview
https://docs.microsoft.com/en-us/azure/azure-sql/database/reserved-capacity-overview
You have SQL Server on an Azure virtual machine that contains a database named DB1.
You have an application that queries DB1 to generate a sales report.
You need to see the parameter values from the last time the query was executed.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You have an application that queries DB1 to generate a sales report.
You need to see the parameter values from the last time the query was executed.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
正解：B,D
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解説: (GoShiken メンバーにのみ表示されます)
You have an Azure subscription that contains an instance of SQL Server on Azure Virtual Machines named SQLVM1 and a virtual machine named Server! that runs Windows Server. SQLVM1 and Serverl are joined to an Active Directory Domain Services (AD DS) domain. Serverl hosts a file share named Sharel.
You need to ensure that a SQL Server Agent job step on SQLVM1 can access the files in Share1. The solution must use the principle of least privilege.
Which three 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.
You need to ensure that a SQL Server Agent job step on SQLVM1 can access the files in Share1. The solution must use the principle of least privilege.
Which three 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.
正解：
Explanation:
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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 have an Azure Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You schedule an Azure Databricks job that executes an R notebook, and then inserts the data into the data warehouse.
Does this meet the goal?
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 have an Azure Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You schedule an Azure Databricks job that executes an R notebook, and then inserts the data into the data warehouse.
Does this meet the goal?
正解：A
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解説: (GoShiken メンバーにのみ表示されます)
Your on-premises network contains a Microsoft SQL Server 2016 server that hosts a database named db1.
You have an Azure subscription.
You plan to migrate db1 to an Azure SQL managed instance.
You need to create the SQL managed instance. The solution must minimize the disk latency of the instance.
Which service tier should you use?
You have an Azure subscription.
You plan to migrate db1 to an Azure SQL managed instance.
You need to create the SQL managed instance. The solution must minimize the disk latency of the instance.
Which service tier should you use?
正解：B
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You have an Azure subscription that contains an Azure Data Factory version 2 (V2) data factory named df1.
DF1 contains a linked service.
You have an Azure Key vault named vault1 that contains an encryption kay named key1.
You need to encrypt df1 by using key1.
What should you do first?
DF1 contains a linked service.
You have an Azure Key vault named vault1 that contains an encryption kay named key1.
You need to encrypt df1 by using key1.
What should you do first?
正解：D
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解説: (GoShiken メンバーにのみ表示されます)
You have an instance of SQL Server on Azure Virtual Machines named VM1.
You need to use an Azure Automation runbook to initiate a SQL Server database backup on VM1.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You need to use an Azure Automation runbook to initiate a SQL Server database backup on VM1.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
Explanation:
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?
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?
正解：C
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解説: (GoShiken メンバーにのみ表示されます)
Task 9
You need to generate an email alert to [email protected] when CPU percentage utilization for db1 is higher than average.
You need to generate an email alert to [email protected] when CPU percentage utilization for db1 is higher than average.
正解：
See the explanation part for the complete Solution.
Explanation:
To generate an email alert to [email protected] when CPU percentage utilization for db1 is higher than average, you can use the Azure portal to create an alert rule based on the CPU percentage metric. Here are the steps to do that:
* Go to the Azure portal and select your Azure SQL Database server that hosts db1.
* Select Alerts in the Monitoring section and click on New alert rule.
* In the Condition section, click Add and select the CPU percentage metric.
* In the Configure signal logic page, set the threshold type to Dynamic. This will compare the current metric value to the historical average and trigger the alert when it deviates significantly1.
* Set the operator to Greater than, the aggregation type to Average, the aggregation granularity to 1 minute, and the frequency of evaluation to 5 minutes.
* Click Done to save the condition.
* In the Action group section, click Create and enter a name and a short name for the action group.
* In the Notifications section, click Add and select Email/SMS message/Push/Voice.
* Enter [email protected] in the Email field and click OK.
* Click OK to save the action group.
* In the Alert rule details section, enter a name and a description for the alert rule, choose a severity level, and make sure the rule is enabled.
* Click Create alert rule to create the alert rule.
This alert rule will send an email to [email protected] when the CPU percentage utilization for db1 is higher than average. You can also add other actions to the alert rule, such as calling a webhook or running an automation script
Explanation:
To generate an email alert to [email protected] when CPU percentage utilization for db1 is higher than average, you can use the Azure portal to create an alert rule based on the CPU percentage metric. Here are the steps to do that:
* Go to the Azure portal and select your Azure SQL Database server that hosts db1.
* Select Alerts in the Monitoring section and click on New alert rule.
* In the Condition section, click Add and select the CPU percentage metric.
* In the Configure signal logic page, set the threshold type to Dynamic. This will compare the current metric value to the historical average and trigger the alert when it deviates significantly1.
* Set the operator to Greater than, the aggregation type to Average, the aggregation granularity to 1 minute, and the frequency of evaluation to 5 minutes.
* Click Done to save the condition.
* In the Action group section, click Create and enter a name and a short name for the action group.
* In the Notifications section, click Add and select Email/SMS message/Push/Voice.
* Enter [email protected] in the Email field and click OK.
* Click OK to save the action group.
* In the Alert rule details section, enter a name and a description for the alert rule, choose a severity level, and make sure the rule is enabled.
* Click Create alert rule to create the alert rule.
This alert rule will send an email to [email protected] when the CPU percentage utilization for db1 is higher than average. You can also add other actions to the alert rule, such as calling a webhook or running an automation script