You plan to implement an Azure Data Lake Storage Gen2 container that will contain CSV files. The size of the files will vary based on the number of events that occur per hour. File sizes range from…

The correct answer is D. Convert the files to Avro. Avro supports batch and is very relevant for streaming. Note: Avro is framework developed within Apache’s Hadoop project. It is a row-based storage format which is widely used as a serialization process. AVRO stores its schema in JSON format making it easy to read and interpret…

Submitted by rachelw· Mar 30, 2026Design and implement data storage

Question

You plan to implement an Azure Data Lake Storage Gen2 container that will contain CSV files. The size of the files will vary based on the number of events that occur per hour. File sizes range from 4.KB to 5 GB. You need to ensure that the files stored in the container are optimized for batch processing. What should you do?

Options

ACompress the files.
BMerge the files.
CConvert the files to JSON
DConvert the files to Avro.

How the community answered

(29 responses)

A
3% (1)
B
14% (4)
C
7% (2)
D
76% (22)

Explanation

Avro supports batch and is very relevant for streaming. Note: Avro is framework developed within Apache’s Hadoop project. It is a row-based storage format which is widely used as a serialization process. AVRO stores its schema in JSON format making it easy to read and interpret by any program. The data itself is stored in binary format by doing it compact and efficient.

Topics

#Avro format#batch processing optimization#file format selection#ADLS Gen2

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