Answer-first summary for fast verification
Answer: To apply business rules, clean, enrich, and convert data into a structured format suitable for analysis.
Option C is the correct answer because the transformation step in a DLT pipeline is crucial for processing raw data. This involves cleaning, enriching, and transforming the data into a structured format that is suitable for analysis, aligning with the company's needs for scalable and cost-effective data processing. Option A is incorrect because the transformation step is not for storing raw data; that's the role of the source or ingestion layer. Option B is incorrect because the transformation step does not serve as the final storage; processed data is typically moved to a data warehouse or another storage solution for analytics. Option D is incorrect because visualization is a separate step that occurs after the data has been processed and transformed.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
In the context of a Data Lake and Analytics (DLT) pipeline within Microsoft Azure, consider a scenario where a company is processing large volumes of raw data from various sources. The data needs to be cleaned, enriched, and transformed into a structured format for analytics. The company is also concerned about minimizing costs while ensuring the pipeline can scale to handle increasing data volumes. Given these constraints, what is the primary purpose of the transformation step in the pipeline? Choose the best option from the following:
A
To act as a temporary storage for raw data before it is processed.
B
To serve as the final storage location for processed data ready for analytics.
C
To apply business rules, clean, enrich, and convert data into a structured format suitable for analysis.
D
To provide a user interface for visualizing the processed data.
No comments yet.