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Google PCA Practice Question: Analysing and Optimising Technical and Business Processes

An e-commerce application uses Firestore for product catalog. They need to run complex analytical queries on the catalog data, such as aggregations and joins, without impacting production performance. What is the best approach?

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

Export Firestore data to BigQuery for analytics

Firestore is not designed for analytical queries. Exporting to BigQuery allows running complex analytics without impacting Firestore performance. Using a second Firestore database increases cost but doesn't improve analytics. Cloud SQL does not natively integrate with Firestore. Using the `!=` operator doesn't solve analytical needs.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Create a second Firestore database for analytics

    Why it's wrong here

    Firestore is not optimized for complex aggregations and joins.

  • Use Cloud SQL to query Firestore directly

    Why it's wrong here

    Cloud SQL cannot query Firestore directly.

  • Use Firestore `!=` operator to filter data

    Why it's wrong here

    Inequality filters do not solve complex analytical queries.

  • Export Firestore data to BigQuery for analytics

    Why this is correct

    BigQuery is designed for analytical workloads and integrates with Firestore via exports.

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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.