Google Professional Data Engineer exam dumps

Google Professional Data Engineer practice question 244 of 279

Professional Data Engineer. Professional level, Google Cloud. Free question with the correct answer and a full explanation.

Google Professional Data Engineer Question 244

Select 2Google Cloud Platform

Your organization runs a BigQuery data warehouse and processes daily analytics workloads with predictable demand during business hours. However, your team occasionally needs to run ad-hoc, unpredictable queries during off-peak hours. You are tasked with optimizing the cost and performance of your BigQuery environment. Which combination of slot pricing models should you choose to meet these requirements?

  1. A

    Commit to flat-rate slots for predictable workloads and use flex slots for ad-hoc queries.

  2. B

    Commit to flat-rate slots for predictable workloads and use on-demand slots for ad-hoc queries.

  3. C

    Use only on-demand slots for both predictable and ad-hoc workloads.

  4. D

    Commit to flex slots only, as they provide cost-effective pricing for all workloads.

  5. E

    Commit to flat-rate slots for predictable workloads and supplement with flex slots for ad-hoc queries.

Show answer and explanation

Correct answers: A, E

Explanation

To optimize cost and performance in BigQuery, predictable workloads should leverage flat-rate slots for their cost-efficiency with consistent demand. For ad-hoc or unpredictable queries, flex slots are a better choice than on-demand slots due to their lower cost and flexibility for temporary use. This combination ensures that both high-priority predictable workloads and occasional ad-hoc queries are efficiently managed without overspending.

  • A. Correct.

    Correct: Flat-rate slots are ideal for predictable workloads, and flex slots provide a cost-effective option for temporary or ad-hoc needs due to their short-term commitment flexibility.

  • B. Incorrect.

    Incorrect: While flat-rate slots work for predictable workloads, on-demand slots can become expensive for ad-hoc queries, especially if used frequently.

  • C. Incorrect.

    Incorrect: Using only on-demand slots for all workloads is not cost-efficient for predictable workloads, as flat-rate pricing offers better value for consistent usage.

  • D. Incorrect.

    Incorrect: Flex slots alone are not suitable for predictable workloads, as they are intended for short-term or temporary needs and lack the cost efficiency of flat-rate slots for steady demand.

  • E. Correct.

    Correct: Flat-rate slots are optimized for predictable workloads, and flex slots can be used to handle ad-hoc queries at a lower cost than on-demand slots due to their flexibility and short-term pricing.

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