Google Professional Data Engineer exam dumps

Google Professional Data Engineer practice question 245 of 279

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

Google Professional Data Engineer Question 245

Select 2Google Cloud Platform

Your organization uses BigQuery for data analysis and is currently running several ad-hoc queries that are unpredictable in terms of frequency and complexity. However, the team is also planning to run scheduled, high-priority reporting queries daily that require consistent performance. What pricing model combination would you recommend to achieve cost efficiency while meeting the performance requirements?

  1. A

    Use flex slots for ad-hoc queries and purchase flat-rate slots for the scheduled reporting queries.

  2. B

    Use on-demand pricing for ad-hoc queries and purchase flat-rate slots for the scheduled reporting queries.

  3. C

    Use flex slots for both ad-hoc and scheduled reporting queries to maximize flexibility.

  4. D

    Use flat-rate slots exclusively for all queries to ensure consistent performance and simplify billing.

  5. E

    Use on-demand pricing for all queries to avoid any commitment.

Show answer and explanation

Correct answers: A, B

Explanation

To achieve cost efficiency and meet specific workload requirements, it is important to use a combination of pricing models. On-demand pricing is well-suited for ad-hoc queries with unpredictable frequency, as it avoids upfront commitments. Flat-rate slots, on the other hand, are ideal for scheduled, high-priority queries that need consistent performance and predictable costs. This combination optimizes both flexibility and efficiency.

  • A. Correct.

    This option is partially correct. Flex slots provide flexibility for ad-hoc queries and flat-rate slots ensure consistent performance for scheduled queries, but flex slots may not be the most cost-effective option for unpredictable ad-hoc queries compared to on-demand pricing.

  • B. Correct.

    This option is correct. On-demand pricing is ideal for ad-hoc queries since it does not require prior commitments, while flat-rate slots are suitable for predictable, high-priority scheduled queries that need consistent performance.

  • C. Incorrect.

    This option is incorrect. While flex slots are flexible, they may not be the most cost-effective or performance-optimized choice for scheduled reporting queries that require consistent performance.

  • D. Incorrect.

    This option is incorrect. Using flat-rate slots for all workloads could lead to wasted capacity for ad-hoc workloads that do not require consistent slot allocation.

  • E. Incorrect.

    This option is incorrect. On-demand pricing for all queries can lead to higher costs for scheduled, high-priority queries that run frequently and require predictable performance.

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