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.
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A company is developing a solution to manage inventory data for a group of automotive repair shops. The solution will use Azure Synapse Analytics 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: Configure database-level auditing in Azure Synapse Analytics and set retention to 10 days.
Does the solution meet the goal?

You need to recommend the appropriate storage and processing solution?
What should you recommend?

You have an Azure subscription that contains an Azure virtual machine and an Azure Storage account. The virtual machine will access the storage account.
You are planning the security design for the storage account.
You need to ensure that only the virtual machine can access the storage account.
Which two actions should you include in the design? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A company stores large datasets in Azure, including sales transactions and customer account information.
You must design a solution to analyze the data. You plan to create the following HDInsight clusters:

You need to ensure that the clusters support the query requirements.
Which cluster types should you recommend? To answer, select the appropriate configuration in the answer area.
NOTE: Each correct selection is worth one point.