PDE Maintaining and Automating Data Workloads Practice Question
A company runs BigQuery workloads with varying demand. They want to use flat-rate pricing with baseline slots and the ability to burst during peak times. Which TWO actions should they take? (Choose 2)
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use flex slots for short-term bursts
To achieve flat-rate pricing with baseline slots and bursting, purchase committed use reservations for the baseline (option D) to get a discount on consistent usage, and use flex slots for short-term bursts (option B) which are also flat-rate. Option E is incorrect because autoscaling with reservations can use idle committed slots for bursts, but it may still fall back to on-demand pricing if no idle slots are available, so it does not ensure that all bursts are covered by flat-rate pricing. Flex slots (option B) guarantee flat-rate bursting.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use on-demand pricing for bursting
Why it's wrong here
On-demand pricing is not part of flat-rate; flex slots are for bursting.
- ✓
Use flex slots for short-term bursts
Why this is correct
Flex slots are ideal for handling peak demand without commitment.
- ✗
Set a maximum number of slots per query
Why it's wrong here
This limits query resources but does not provide bursting capability.
- ✓
Purchase committed use reservations for baseline slots
Why this is correct
Committed use discounts give a set number of slots at lower cost for 1 or 3 years.
- ✗
Create a reservation with baseline + autoscaling slots
Why it's wrong here
Autoscaling in reservations is for on-demand, not for flat-rate with committed use.
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