A data platform team uses BigQuery for both ad-hoc analyst queries and scheduled reporting jobs. The analysts complain that their interactive queries are slow during peak hours. The scheduled jobs are not time-sensitive and can run anytime. The team wants to ensure analysts get consistent performance without over-provisioning slots. What should they do?

Create two reservations: one for interactive queries with a fixed slot allocation, and one for batch jobs with a smaller allocation that can borrow idle slots.

Increase the slot capacity of the existing reservation to handle peak load.

Move the scheduled jobs to a different project with its own reservation.

Put all workloads in a single reservation and rely on BigQuery's automatic prioritization.

A data engineer needs to ensure that a critical reporting workload always has enough slots to meet its performance requirements, even during peak usage. Which approach best addresses this business requirement?

Use on-demand pricing to avoid slot management

Use batch queries to lower priority

Increase the query timeout to allow more time for execution

Create a reservation with a slot commitment and assign the critical workload to it

What is the primary purpose of a BigQuery reservation?

To manage access control for BigQuery datasets

To automatically scale storage capacity for tables

To allocate a dedicated pool of slots to a set of workloads

To store query results for later reuse

Google CloudProfessional Data Engineer

Domain 5Objective 3

5.3 Organizing Workloads Based on Business Requirements PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 2)

Part of the Maintaining and automating data workloads domain, which accounts for ~18% of the PROFESSIONAL-DATA-ENGINEER exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~9–14 in this domain), expect 2–3 from this objective — we provide 17 practice questions to prepare you well beyond it. (estimate)

17questions here

4free pages

6concepts

~18%of the exam

Questions 6–10

6application · easy
A startup uses BigQuery for ad-hoc analytics and has a small team. They have a limited budget and do not need guaranteed performance or SLAs. They want to use BigQuery with the lowest possible cost. Which BigQuery edition should they use?
Select an answer first
7application · medium
A data platform team uses BigQuery for both ad-hoc analyst queries and scheduled reporting jobs. The analysts complain that their interactive queries are slow during peak hours. The scheduled jobs are not time-sensitive and can run anytime. The team wants to ensure analysts get consistent performance without over-provisioning slots. What should they do?
Select an answer first
8foundation · easy
A data engineer needs to ensure that a critical reporting workload always has enough slots to meet its performance requirements, even during peak usage. Which approach best addresses this business requirement?
Select an answer first
9application · medium
A financial services company runs BigQuery workloads that include real-time fraud detection queries with strict latency requirements and large-scale risk analysis batch jobs. They need guaranteed slot capacity and the highest level of availability and performance for the fraud detection queries. They are willing to pay a premium for these guarantees. Which BigQuery edition should they choose for the fraud detection workload?
Select an answer first
10foundation · easy
What is the primary purpose of a BigQuery reservation?
Select an answer first

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5.3 Organizing Workloads Based on Business Requirements PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 2)

Questions 6–10

A startup uses BigQuery for ad-hoc analytics and has a small team. They have a limited budget and do not need guaranteed performance or SLAs. They want to use BigQuery with the lowest possible cost. Which BigQuery edition should they use?

A data engineer needs to ensure that a critical reporting workload always has enough slots to meet its performance requirements, even during peak usage. Which approach best addresses this business requirement?

What is the primary purpose of a BigQuery reservation?

Keep studying — Maintaining and automating data workloads