DP-300 Exam Question 161

You have an Azure SQL Database elastic pool that contains 10 databases.
You receive the following alert.
Msg 1132, Level 16, state 1, Line 1
The elastic pool has reached its storage limit. The storage used for the elastic pool cannot exceed (76800) MBs.
You need to resolve the alert. The solution must minimize administrative effort.
Which three actions can you perform? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
  • DP-300 Exam Question 162

    Hotspot Question
    You have an Azure SQL database named DB1.
    You need to create a second instance of DB1 in a different Azure region. The solution must meet the following requirements:
    - Ensure that the instance is readable and available to handle incoming queries in the event of a local Azure region failure.
    - Minimize administrative effort.
    - Minimize costs.
    What should you do? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.

    DP-300 Exam Question 163

    Drag and Drop Question
    You have an Azure SQL database named DB1.
    You need to create a partitioned table in DB1.
    Which three objects should you create in sequence? To answer, move the appropriate objects from the list of objects to the answer area and arrange them in the correct order.

    DP-300 Exam Question 164

    You have an Azure subscription that contains three instances of SQL Server on Azure Virtual Machines.
    You plan to implement a disaster recovery solution.
    You need to be able to perform disaster recovery drills regularly. The solution must meet the following requirements:
    - Minimize administrative effort for the recovery drills.
    - Isolate the recovery environment from the production environment
    What should you use?
  • DP-300 Exam Question 165

    Hotspot Question
    You have an Azure data factory that has two pipelines named PipelineA and PipelineB.
    PipelineA has four activities as shown in the following exhibit.

    PipelineB has two activities as shown in the following exhibit.

    You create an alert for the data factory that uses Failed pipeline runs metrics for both pipelines and all failure types. The metric has the following settings:
    - Operator: Greater than
    - Aggregation type: Total
    - Threshold value: 2
    - Aggregation granularity (Period): 5 minutes
    - Frequency of evaluation: Every 5 minutes
    Data Factory monitoring records the failures shown in the following table.

    For each of the following statements, select Yes if the statement is true. Otherwise, select No.
    NOTE: Each correct selection is worth one point.