Google PCA Practice Question: Analyze and optimize technical and business processes
A company is using BigQuery for analytics and wants to optimize query costs. They have many ad-hoc queries that scan large tables. What is the best practice?
⚠ Common exam trap
Google Cloud often tests the misconception that flat-rate pricing or BI Engine directly reduce per-query costs, when in fact they address capacity or latency, not the fundamental cost driver of bytes scanned.
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 clustering and partitioning on tables.
Clustering and partitioning reduce the amount of data scanned by BigQuery for each query, directly lowering query costs (which are based on bytes processed). Partitioning allows queries to skip entire partitions based on a date or timestamp column, while clustering sorts data within partitions, enabling block-level pruning for filter predicates. This is the most effective and scalable way to optimize ad-hoc queries on large tables without changing the query logic.
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 clustering and partitioning on tables.
Why this is correct
Clustering and partitioning organize data to minimize scanned bytes, lowering per-query cost.
- ✗
Use flat-rate pricing.
Why it's wrong here
Flat-rate pricing offers fixed cost but does not reduce the amount of data scanned; may be more expensive for low usage.
- ✗
Use BI Engine.
Why it's wrong here
BI Engine accelerates interactive dashboards, not ad-hoc SQL queries.
- ✗
Use materialized views.
Why it's wrong here
Materialized views can reduce query cost by precomputing results, but they incur storage and maintenance costs.
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
Column
A column is a vertical set of values in a database table that stores one specific type of attribute for every row.
About these practice questions
One of 955 original PCA practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PCA practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCA exam.