Answer-first summary for fast verification
Answer: All of the above.
When selecting the appropriate data ingestion technology for different data sources, it is important to consider several key factors. The volume and velocity of the data being ingested (Option A) will determine the required processing power and throughput. The compatibility of the data ingestion technology with the source data format and structure (Option B) ensures seamless integration and reduces the need for additional data transformation. The ability to handle schema drift and data type changes in the source data (Option C) is crucial for maintaining data quality and accuracy. Therefore, all of these considerations should be taken into account, making Option D the correct answer.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
As a Microsoft Azure Data Engineer Associate, you are responsible for designing a data pipeline that ingests data from various sources into Azure Synapse Analytics. What are some of the key considerations when selecting the appropriate data ingestion technology for different data sources?
A
The volume and velocity of the data being ingested.
B
The compatibility of the data ingestion technology with the source data format and structure.
C
The ability to handle schema drift and data type changes in the source data.
D
All of the above.
No comments yet.