Objective 5.1
PDEOptimizing resources
Objective 5.1 sits in Maintaining and automating data workloads, which carries 18% of the Data Engineer exam. The questions below are original, written from the official objective title above, and each explanation cites the Google Cloud page it rests on.
Objective title verbatim from the official objectives. Google Cloud exam page ↗
A worked example
Shown solved, with the whole explanation open: this is what every question here carries.
A company on the on-demand pricing model wants a hard ceiling on query spend for one project. Which control provides that?
Correct.
Concept
A spending control has to sit where the meter is. Where billing follows data scanned, the only hard stop is a cap on how much data may be scanned.
Why D
Under the on-demand model the only way to restrict costs is project-level or user-level daily quotas, and those quotas enforce a hard cap that prevents work beyond the limit.
Source
Google Cloud: Estimate and control BigQuery costs, checked August 2026When you use the on-demand pricing model, the only way to restrict costs is to configure project-level or user-level daily quotas. However, these quotas enforce a hard cap that prevents users from running queries beyond the quota limit.
Now you: objective 5.1 questions
No account needed. The explanation opens when you answer.
Sample question 1 of 3
An organization uses slot reservations and wants capacity that starts at nothing and grows only as far as a set ceiling. How is that configured?
Sample question 2 of 3
A team sets a custom daily query quota after a runaway dashboard burned through budget. What does that quota limit?
Sample question 3 of 3
An analyst types a query into the console and wants to know what it will cost before running it. What does the query validator report?
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Read the sources
These are the official pages the questions above cite. Reading them is studying the objective from the primary source, which is what the explanations point you toward anyway.