You plan to store 100 GB of data used by a line-of-business (LOB) app.
You need to recommend a data storage solution for the data. The solution must meet the following requirements:
Minimize storage costs.
Natively support relational queries.
Provide a recovery time objective (RTO) of less than one minute.
What should you include in the recommendation?

You are evaluating data storage solutions to support a new application.
You need to recommend a data storage solution that represents data by using nodes and relationships in graph structures.
Which data storage solution should you recommend?

You plan to deploy a reporting database to Azure. The database will contain 30 GB of data. 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 a data model that you plan to implement in an Azure SQL data warehouse as shown in the following exhibit.

All the dimension tables will be less than 5 GB after compression, and the fact table will be approximately 6 TB.
Which type of table should you use for each table? To answer, select the appropriate options in the answer area.
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 have an Azure SQL database that has columns. The columns contain sensitive Personally Identifiable Information (PII) data.
You need to design a solution that tracks and stores all the queries executed against the PII data. You must be able to review the data in Azure Monitor, and the data must be available for at least 45 days.
Solution: You add classifications to the columns that contain sensitive data. You turn on Auditing and set the audit log destination to use Azure Blob storage.
Does this meet the goal?