A company is developing a mission-critical line of business app that uses Azure SQL Database Managed Instance. You must design a disaster recovery strategy for the solution.
You need to ensure that the database automatically recovers when full or partial loss of the Azure SQL Database service occurs in the primary region.
What should you recommend?
You are designing an enterprise data warehouse in Azure Synapse Analytics that will store website traffic analytic in a star schema.
You plan to have a fact table for website visits. The table will be approximately 5 GB.
You need to recommend which distribution type and index type to use for the table. The solution must provide the fastest query performance.
What should you recommend? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.


Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-index
You have an Azure Data Lake Storage Gen2 account named adls2 that is protected by a virtual network.
You are designing a SQL pool in Azure Synapse that will use adls2 as a source.
What should you use to authenticate to adls2?
You plan to deploy an Azure SQL Database instance to support an application. You plan to use the DTUbased purchasing model.
Backups of the database must be available for 30 days and point-in-time restoration must be possible.
You need to recommend a backup and recovery policy.
What are two possible ways to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
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 plan to store delimited text files in an Azure Data Lake Storage account that will be organized into department folders.
You need to configure data access so that users see only the files in their respective department folder.
Solution: From the storage account, you disable a hierarchical namespace, and you use access control lists (ACLs).
Does this meet the goal?
You plan to deploy a reporting database to Azure. The database will contain 30 GB of dat a. The amount of data will increase by 300 MB each year.
Rarely will the database be accessed during the second and third weeks of each month. During the first and fourth week of each month, new data will be loaded each night.
You need to recommend a solution for the planned database. The solution must meet the following requirements:
Minimize costs.
Minimize administrative effort.
What should you recommend?
You have data on the 75,000 employees of your company. The data contains the properties shown in the following table.

You need to store the employee data in an Azure Cosmos DB container. Most queries on the data will filter by the Current Department and the Employee Surname properties.
Which partition key and item ID should you use for the container? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


References:
https://docs.microsoft.com/en-us/rest/api/storageservices/designing-a-scalable-partitioning-strategy-for-azure-table-storage
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.
A company is developing a solution to manage inventory data for a group of automotive repair shops. The solution will use Azure SQL Data Warehouse as the data store.
Shops will upload data every 10 days.
Data corruption checks must run each time data is uploaded. If corruption is detected, the corrupted data must be removed.
You need to ensure that upload processes and data corruption checks do not impact reporting and analytics processes that use the data warehouse.
Proposed solution: Create a user-defined restore point before data is uploaded. Delete the restore point after data corruption checks complete.
Does the solution meet the goal?
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?
You are designing a solution that will copy Parquet files stored in an Azure Blob storage account to an Azure Data Lake Storage Gen2 account.
The data will be loaded daily to the data lake and will use a folder structure of {Year}/{Month}/{Day}/.
You need to design a daily Azure Data Factory data load to minimize the data transfer between the two accounts.
Which two configurations should you include in the design? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You are designing a real-time processing solution for maintenance work requests that are received via email. The solution will perform the following actions:
Store all email messages in an archive.
Access weather forecast data by using the Python SDK for Azure Open Datasets.
Identify high priority requests that will be affected by poor weather conditions and store the requests in an Azure SQL database.
The solution must minimize costs.
How should you complete the solution? To answer, drag the appropriate services to the correct locations. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


Reference:
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-capture-overview
https://docs.microsoft.com/en-us/azure/connectors/connectors-create-api-azure-event-hubs