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Exam DP-203 topic 1 question 85 discussion

Actual exam question from Microsoft's DP-203
Question #: 85
Topic #: 1
[All DP-203 Questions]

You have an Azure Data Lake Storage Gen2 account named storage1.

You plan to implement query acceleration for storage1.

Which two file types support query acceleration? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

  • A. JSON
  • B. Apache Parquet
  • C. XML
  • D. CSV
  • E. Avro
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Suggested Answer: AD 🗳️
by IanKwok81 at June 8, 2023, 2:37 p.m.

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orionduo
Highly Voted 1 year, 8 months ago
Correct. Query acceleration supports CSV and JSON formatted data as input to each request. https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-query-acceleration
upvoted 11 times
...
vctrhugo
Highly Voted 1 year, 9 months ago
Selected Answer: AD
Query acceleration supports CSV and JSON formatted data as input to each request.
upvoted 6 times
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Moli62
Most Recent 2 days, 8 hours ago
Selected Answer: AD
https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-query-acceleration
upvoted 1 times
...
jxs221
1 week, 3 days ago
Selected Answer: BE
Parquet is a columnar format, allowing efficient data retrieval and compression. Avro is optimized for efficient binary serialization, making it suitable for query acceleration.
upvoted 1 times
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angelvenkovicch
3 weeks, 5 days ago
Selected Answer: D
is this related to DP-300 or not
upvoted 1 times
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samirarian
1 month ago
Selected Answer: BE
These file formats are optimized for analytics and support features like columnar storage, which is beneficial for query acceleration, making them more efficient for querying in big data analytics workloads. Parquet: A columnar storage format that is widely used for analytics, providing fast query performance. Avro: A row-based storage format that also supports efficient querying, particularly with its schema support and compact data format. So, Parquet and Avro are the correct answers.
upvoted 1 times
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EmnCours
3 months, 2 weeks ago
Selected Answer: AD
Correct Answer: AD
upvoted 1 times
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MohamedBI12
1 year ago
Selected Answer: AD
A and D
upvoted 1 times
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moize
1 year, 2 months ago
https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-query-acceleration
upvoted 3 times
...
OldSchool
1 year, 5 months ago
Selected Answer: AD
Query acceleration supports CSV and JSON formatted data as input to each request.
upvoted 1 times
...
kkk5566
1 year, 6 months ago
Selected Answer: AD
CSV and JSON
upvoted 1 times
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aga444
1 year, 9 months ago
Parquet and CSV
upvoted 1 times
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IanKwok81
1 year, 9 months ago
Correct. https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-query-acceleration
upvoted 4 times
...
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