You have an Azure data factory.
You need to examine the pipeline failures from the last 60 days.
What should you use?

You need to design a data storage structure for the product sales transactions. The solution must meet the sales transaction dataset requirements.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You have an Azure Databricks workspace and an Azure Data Lake Storage Gen2 account named storage!
New files are uploaded daily to storage1.
* Incrementally process new files as they are upkorage1 as a structured streaming source. The solution must meet the following requirements:
* Minimize implementation and maintenance effort.
* Minimize the cost of processing millions of files.
* Support schema inference and schema drift.
Which should you include in the recommendation?

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 Storage account that contains 100 GB of files. The files contain rows of text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB.
You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics.
You need to prepare the files to ensure that the data copies quickly.
Solution: You copy the files to a table that has a columnstore index.
Does this meet the goal?

You are designing a streaming data solution that will ingest variable volumes of data.
You need to ensure that you can change the partition count after creation.
Which service should you use to ingest the data?