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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario.
You have five servers that run Microsoft Windows 2012 R2. Each server hosts a Microsoft SQL Server instance. The topology for the environment is shown in the following diagram.
You have an Always On Availability group named AG1. The details for AG1 are shown in the following table.
Instance1 experiences heavy read-write traffic. The instance hosts a database named OperationsMain that is four terabytes (TB) in size. The database has multiple data files and filegroups. One of the filegroups is read_only and is half of the total database size.
Instance4 and Instance5 are not part of AG1. Instance4 is engaged in heavy read-write I/O.
Instance5 hosts a database named StagedExternal. A nightly BULK INSERT process loads data into an empty table that has a rowstore clustered index and two nonclustered rowstore indexes.
You must minimize the growth of the StagedExternal database log file during the BULK INSERT operations and perform point-in-time recovery after the BULK INSERT transaction. Changes made must not interrupt the log backup chain.
You plan to add a new instance named Instance6 to a datacenter that is geographically distant from Site1 and Site2. You must minimize latency between the nodes in AG1.
All databases use the full recovery model. All backups are written to the network location \\SQLBackup\. A separate process copies backups to an offsite location. You should minimize both the time required to restore the databases and the space required to store backups. The recovery point objective (RPO) for each instance is shown in the following table.
Full backups of OperationsMain take longer than six hours to complete. All SQL Server backups use the keyword COMPRESSION.
You plan to deploy the following solutions to the environment. The solutions will access a database named DB1 that is part of AG1.
* Reporting system: This solution accesses data inDB1with a login that is mapped to a database user that is a member of the db_datareader role. The user has EXECUTE permissions on the database. Queries make no changes to the data. The queries must be load balanced over variable read-only replicas.
* Operations system: This solution accesses data inDB1with a login that is mapped to a database user that is a member of the db_datareader and db_datawriter roles. The user has EXECUTE permissions on the database. Queries from the operations system will perform both DDL and DML operations.
The wait statistics monitoring requirements for the instances are described in the following table.
End of repeated scenario.
You need to create a backup plan for Instance4.
Which backup plan should you create?
A. Weekly full backups, nightly differential backups, transaction log backups every 30 minutes.
B. Weekly full backups, nightly differential. No transaction log backups are necessary.
C. Full backups every 60 minutes, transaction log backups every 30 minutes.
D. Weekly full backups, nightly differential backups, transaction log backups every 12 hours.
Answer: A
Explanation:
Explanation
Scenario: Instance4 is engaged in heavy read-write I/O. The Recovery Point Objective of Instance4 is 60 minutes.
NEW QUESTION: 2
MainAppという名前のWebアプリがあります。 WebJobs SDKを使用して、トリガーされたApp Serviceバックグラウンドタスクを開発しています。
このタスクは、新しいデータがキューで受信されるたびにコード内の関数を自動的に呼び出します。
サービスを構成する必要があります。
各シナリオでどのサービスを使用する必要がありますか？答えるには、適切なサービスを正しいシナリオにドラッグします。各サービスは、1回、複数回、またはまったく使用されません。コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
注：各正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
WebJobs and Logic Apps
https://docs.microsoft.com/en-us/azure/azure-functions/functions-compare-logic-apps-ms-flow-webjobs Logic Apps --> Azure DevOps: source control, testing, support, automation, and manageability in Azure Resource Manager
NEW QUESTION: 3
How are window functions different from regular aggregate functions?
A. Rows retain their separate identities and the window function can only access the current row.
B. Rows are grouped into an output row and the window function can access more than the current row.
C. Rows retain their separate identities and the window function can access more than the current row.
D. Rows are grouped into an output row and the window function can only access the current row.
Answer: C
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