Data Engineering on Microsoft Azure — Question 133
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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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?
Answer options
- A. Yes
- B. No
Correct answer: B
Explanation
The proposed solution does not meet the goal because copying files directly to a table with a columnstore index does not optimize the data for fast loading into Azure Synapse Analytics. Instead, the data should be transformed and possibly partitioned before loading to take full advantage of the performance benefits provided by columnstore indexes.