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Storing the DataeasyMultiple ChoiceObjective-mapped

PDE Storing the Data Practice Question

A data engineer needs to store transactional data for an e-commerce application that requires ACID compliance, automatic failover, and point-in-time recovery. The expected throughput is a few thousand transactions per second. Which Google Cloud storage option should they choose?

⚠ Common exam trap

Candidates often choose Cloud Spanner for any ACID requirement, overlooking that Cloud SQL is the cost-effective and simpler choice for single-region transactional workloads with moderate throughput.

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

Cloud SQL

Cloud SQL is the correct choice because it provides full ACID compliance, automated failover with high availability configurations, and point-in-time recovery via binary log replay. It supports up to several thousand transactions per second with appropriate machine sizing, making it suitable for this e-commerce workload.

Answer analysis

Option-by-option breakdown

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

  • Firestore

    Why it's wrong here

    Firestore is a document database that supports transactions but is not relational and best for mobile/web apps.

  • Cloud Bigtable

    Why it's wrong here

    Bigtable is a NoSQL database that does not support ACID transactions across rows.

  • Cloud SQL

    Why this is correct

    Cloud SQL provides ACID compliance, high availability, and PITR for moderate OLTP workloads.

  • Cloud Spanner

    Why it's wrong here

    Cloud Spanner, whilst offering ACID compliance, automatic failover, and point-in-time recovery, is engineered for globally distributed, petabyte-scale transactional workloads demanding extremely high throughput, often millions of transactions per second. For a scenario specifying only "a few thousand transactions per second", its immense global scalability and associated operational complexity are excessive. It would be the correct choice if the application required strong transactional consistency across multiple continents with significantly higher, globally distributed throughput demands.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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