Design innovative, scalable, and highly available cloud database solutions →mediumMultiple ChoiceObjective-mapped
PCDE Practice Question: Design innovative, scalable, and highly available cloud database solutions
A company wants to store and analyze time-series metrics from thousands of servers. The data is write-heavy with occasional reads of recent data. They need low-latency writes and the ability to scan large ranges later. Which Google Cloud database is MOST appropriate?
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 Bigtable
Bigtable is designed for time-series data, high write throughput, and efficient range scans. It can handle large volumes of time-series data with low latency.
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 for document data, not high-volume time-series.
- ✗
Cloud Spanner
Why it's wrong here
Spanner is for transactional workloads, not time-series analytics.
- ✓
Cloud Bigtable
Why this is correct
Bigtable is ideal for time-series workloads with high write throughput and range scan queries.
- ✗
Cloud SQL
Why it's wrong here
Cloud SQL is not optimized for high write throughput of time-series data.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PCDE 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 PCDE exam.