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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 184 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 184
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

A company uses Amazon Redshift as its data warehouse. Data encoding is applied to the existing tables of the data warehouse. A data engineer discovers that the compression encoding applied to some of the tables is not the best fit for the data.

The data engineer needs to improve the data encoding for the tables that have sub-optimal encoding.

Which solution will meet this requirement?

  • A. Run the ANALYZE command against the identified tables. Manually update the compression encoding of columns based on the output of the command.
  • B. Run the ANALYZE COMPRESSION command against the identified tables. Manually update the compression encoding of columns based on the output of the command.
  • C. Run the VACUUM REINDEX command against the identified tables.
  • D. Run the VACUUM RECLUSTER command against the identified tables.
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Suggested Answer: B 🗳️
by kupo777 at Nov. 4, 2024, 11:37 p.m.
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Ramdi1
2 days, 20 hours ago
Selected Answer: B
Amazon Redshift uses columnar storage with compression encoding to optimize query performance and reduce storage costs. Over time, sub-optimal encoding may lead to poor performance. To determine the best compression encoding for a table, use the ANALYZE COMPRESSION command, which: 🔹 Scans the table's data and suggests optimal encoding types for each column. 🔹 Helps reduce storage size and improve query efficiency. 🔹 Requires a manual column update because Amazon Redshift does not automatically apply new encodings.
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kupo777
4 months, 1 week ago
Correct Answer: B ANALYZE COMPRESSION Command: This command analyzes the data in the specified tables and provides recommendations for the best compression encoding for each column. It evaluates the current encoding and suggests more efficient options based on the actual data distribution. Manual Update: After running the command, the data engineer can manually apply the recommended compression encodings to optimize storage and query performance.
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