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GCP Professional Data Engineer Practice Question

Your organization purchased 2,000 BigQuery Enterprise edition slots in a reservation named prod-resv. Two projects share it: risk-analytics, a mission-critical workload with a strict 60-second query SLA, and mkt-explore, which runs ad-hoc queries that can tolerate delays. During month-end close marketing runs numerous queries, exhausting the 2,000 slots and causing risk-analytics to miss its SLA. As lead data engineer, how can you restore risk-analytics performance without raising the total committed slot count or completely blocking marketing activity?

  • Purchase an additional 500 flex slots and assign them to risk-analytics for the month-end period, then delete the flex slots when no longer needed.

  • Create a new reservation sized for the risk-analytics workload, move only the risk-analytics project assignment to it, and keep mkt-explore in the existing prod-resv so it can use any idle slots that remain.

  • Increase the maximum concurrent slots for the risk-analytics project within prod-resv so its queries pre-empt marketing queries when slots are scarce.

  • Convert prod-resv back to on-demand (analysis) pricing so BigQuery automatically allocates extra capacity to risk-analytics queries during spikes.

GCP Professional Data Engineer
Maintaining and automating data workloads
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