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Exam Professional Data Engineer All Questions

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Exam Professional Data Engineer topic 1 question 283 discussion

Actual exam question from Google's Professional Data Engineer
Question #: 283
Topic #: 1
[All Professional Data Engineer Questions]

You have created an external table for Apache Hive partitioned data that resides in a Cloud Storage bucket, which contains a large number of files. You notice that queries against this table are slow. You want to improve the performance of these queries. What should you do?

  • A. Change the storage class of the Hive partitioned data objects from Coldline to Standard.
  • B. Create an individual external table for each Hive partition by using a common table name prefix. Use wildcard table queries to reference the partitioned data.
  • C. Upgrade the external table to a BigLake table. Enable metadata caching for the table.
  • D. Migrate the Hive partitioned data objects to a multi-region Cloud Storage bucket.
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Suggested Answer: C 🗳️

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raaad
Highly Voted 9 months, 3 weeks ago
Selected Answer: C
- BigLake Table: BigLake allows for more efficient querying of data lakes stored in Cloud Storage. It can handle large datasets more effectively than standard external tables. - Metadata Caching: Enabling metadata caching can significantly improve query performance by reducing the time taken to read and process metadata from a large number of files.
upvoted 8 times
AllenChen123
9 months, 1 week ago
Agree. https://cloud.google.com/bigquery/docs/biglake-intro#metadata_caching_for_performance
upvoted 4 times
AllenChen123
9 months, 1 week ago
And https://cloud.google.com/bigquery/docs/external-data-cloud-storage#upgrade-external-tables-to-biglake-tables
upvoted 5 times
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hanoverquay
Most Recent 7 months, 2 weeks ago
Selected Answer: C
vote C
upvoted 1 times
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JyoGCP
8 months, 1 week ago
Selected Answer: C
Option C
upvoted 1 times
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Matt_108
9 months, 2 weeks ago
Selected Answer: C
Option C
upvoted 1 times
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Sofiia98
9 months, 3 weeks ago
Selected Answer: C
agree with C
upvoted 1 times
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GCP001
9 months, 3 weeks ago
C. Upgrade the external table to a BigLake table. Enable metadata caching for the table. Check ref - https://cloud.google.com/bigquery/docs/biglake-intro
upvoted 2 times
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