Question 374 of 1,000
Design and Plan Database SolutionshardMultiple SelectObjective-mapped

PCDOE Design and Plan Database Solutions Practice Question

This PCDOE practice question tests your understanding of design and plan database solutions. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company runs a financial analytics platform on BigQuery. They need to reduce query costs for frequent, predictable queries. Which three strategies can help? (Choose THREE.)

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 BI Engine to cache results of frequent queries.

Option A is correct because BigQuery BI Engine provides an in-memory analysis service that caches results of frequent and predictable queries, reducing the need to scan data in BigQuery storage and thereby lowering query costs. By serving cached results directly from memory, BI Engine avoids repeated data processing and slot consumption for recurring queries.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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 BI Engine to cache results of frequent queries.

    Why this is correct

    Caching reduces cost for repeated queries.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Create materialized views for common aggregations.

    Why this is correct

    Materialized views reduce query cost by using precomputed results.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Partition tables by ingestion time.

    Why it's wrong here

    Partitioning also reduces scanned data, but the question expects three; we already have three.

  • Cluster tables on frequently filtered columns.

    Why this is correct

    Clustering reduces the amount of data scanned.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use DML statements to pre-aggregate data.

    Why it's wrong here

    DML operations cost money and don't inherently reduce query costs.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the distinction between cost-reduction strategies that directly cache or pre-compute results (like BI Engine and materialized views) versus performance optimization techniques (like partitioning and clustering) that reduce scanned data but do not inherently address frequent, predictable query patterns.

Detailed technical explanation

How to think about this question

BigQuery BI Engine uses a columnar in-memory cache that integrates with the BigQuery query engine, automatically caching results of queries that match specific patterns, such as those with repeated filters and aggregations. Materialized views in BigQuery are pre-computed tables that are automatically refreshed based on base table changes, allowing queries to read from the view instead of scanning the entire table, which reduces slot usage and cost. Clustering tables on frequently filtered columns organizes data by sort order, enabling the query engine to skip irrelevant blocks during scans, which lowers the bytes processed and thus cost for queries with those filters.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PCDOE question test?

Design and Plan Database Solutions — This question tests Design and Plan Database Solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use BI Engine to cache results of frequent queries. — Option A is correct because BigQuery BI Engine provides an in-memory analysis service that caches results of frequent and predictable queries, reducing the need to scan data in BigQuery storage and thereby lowering query costs. By serving cached results directly from memory, BI Engine avoids repeated data processing and slot consumption for recurring queries.

What should I do if I get this PCDOE question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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This PCDOE 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 PCDOE exam.