Microsoft DP-300

You're analyzing the performance metrics of an Azure SQL Database. Which combination of tools would provide both real-time and historical insights into query performance?

Introductory Info Case study -

This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

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To start the case study -

To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -

ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.

Existing Environment -

ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.

SALESDB collects data from the stores and the website.

DOCDB stores documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.

REPORTINGDB stores reporting data and contains several columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in

SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.

Requirements -

Planned Changes -

ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:

Migrate SALESDB and REPORTINGDB to an Azure SQL database.

Migrate DOCDB to Azure Cosmos DB.

The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytics process will perform aggregations that must be done continuously, without gaps, and without overlapping.

As they arrive, all the sales documents in JSON format must be transformed into one consistent format.

Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.

Technical Requirements -

The new Azure data infrastructure must meet the following technical requirements:

Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.

SALESDB must be restorable to any given minute within the past three weeks.

Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.

Missing indexes must be created automatically for REPORTINGDB.

Disk IO, CPU, and memory usage must be monitored for SALESDB. Question Which windowing function should you use to perform the streaming aggregation of the sales data?

You have a Microsoft SQL Server 2017 server.

You need to migrate the server to Azure. The solution must meet the following requirements:

• Ensure that the latest version of SQL Server is used.

• Support the SQL Server Agent service.

• Minimize administrative effort.

What should you use?

You've just automated a database workflow using Azure Logic Apps and it seems to be failing intermittently. What is the most suitable method to diagnose these failures?

Your organization wants to deploy a SQL Server HA/DR solution in Azure. They have the following requirements:

Automatic failover without manual intervention.

Read and write operations should be possible on the primary replica, while only read operations should be allowed on the secondary replica.

Both primary and secondary replicas must reside in different Azure regions for disaster recovery purposes.

Which of the following configurations meets all the provided requirements?