Google PCA Practice Question: Analysing and Optimising Technical and Business Processes
A company wants to reduce costs for their BigQuery workloads. Which TWO actions will help achieve this?
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 clustered and partitioned tables to limit data scanned
Using flat-rate pricing with slot reservations provides predictable costs, and using clustered and partitioned tables reduces the amount of data scanned per query, lowering on-demand costs. Materialized views can reduce costs but are not always needed. Deleting datasets and compression are not relevant.
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 clustered and partitioned tables to limit data scanned
Why this is correct
Clustering and partitioning reduce the data processed, lowering costs.
- ✓
Use flat-rate pricing with BigQuery slot reservations
Why this is correct
Flat-rate pricing provides cost predictability and can be cheaper for high-usage workloads.
- ✗
Enable compression on exported data
Why it's wrong here
Compression affects export costs, not query costs.
- ✗
Delete unnecessary datasets
Why it's wrong here
Deleting datasets reduces storage costs but is not a primary cost optimization for queries.
- ✗
Use materialized views to pre-compute results
Why it's wrong here
Materialized views can reduce query costs but may incur storage costs and are not always the best cost reduction method.
Go deeper
Related to this question
Learn chapter
Cloud SQL and Managed Data Stores
Key term
BigQuery
BigQuery is a fully managed, serverless data warehouse on Google Cloud that lets you run fast SQL queries on massive datasets without managing any infrastructure.
Key term
CAN
A CAN (Controller Area Network) is a robust vehicle bus standard designed to allow microcontrollers and devices to communicate with each other without a host computer.
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