Cloud Digital Leader Scaling with Google Cloud operations Practice Question
This GCDL practice question tests your understanding of scaling with google cloud operations. 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 startup is building a read-heavy mobile backend. They want a database that can scale out reads without downtime. Which database service should they choose?
Why wrong: Firestore scales automatically but does not offer dedicated read replicas; its scaling model is different and may not suit a read-heavy pattern with strict latency requirements.
B
Cloud Spanner.
Why wrong: Cloud Spanner provides global scale and strong consistency but is more complex and costly than needed for a simple read-heavy backend.
C
Cloud Bigtable.
Why wrong: Cloud Bigtable is designed for large-scale analytical and operational workloads, not for a typical mobile backend with strong consistency needs.
D
Cloud SQL with read replicas.
Cloud SQL read replicas allow scaling read capacity without downtime, as replicas are created asynchronously and can be promoted if needed.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Cloud SQL with read replicas.
Cloud SQL with read replicas is the correct choice because it allows you to offload read traffic to one or more read replicas, scaling out reads without downtime. Read replicas are asynchronous replicas of the primary instance, and you can promote them to standalone instances if needed, making this ideal for a read-heavy mobile backend that requires high availability.
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.
✗
Cloud Firestore.
Why it's wrong here
Firestore scales automatically but does not offer dedicated read replicas; its scaling model is different and may not suit a read-heavy pattern with strict latency requirements.
✗
Cloud Spanner.
Why it's wrong here
Cloud Spanner provides global scale and strong consistency but is more complex and costly than needed for a simple read-heavy backend.
✗
Cloud Bigtable.
Why it's wrong here
Cloud Bigtable is designed for large-scale analytical and operational workloads, not for a typical mobile backend with strong consistency needs.
✓
Cloud SQL with read replicas.
Why this is correct
Cloud SQL read replicas allow scaling read capacity without downtime, as replicas are created asynchronously and can be promoted if needed.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that any NoSQL or globally distributed database is automatically better for scaling reads, when in fact Cloud SQL with read replicas is the simplest, most cost-effective, and downtime-free solution for a read-heavy relational workload.
Detailed technical explanation
How to think about this question
Cloud SQL read replicas use MySQL or PostgreSQL native replication (binary log or WAL streaming) to maintain an almost real-time copy of the primary database. The read replica can serve thousands of concurrent read queries while the primary handles writes, and you can add or remove replicas without downtime by simply configuring the replication settings in the Google Cloud Console or via gcloud commands. In a real-world scenario, a mobile backend with 90% reads and 10% writes can use three read replicas to distribute load, and if the primary fails, you can promote a replica to a new primary with minimal data loss (depending on replication lag).
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this GCDL question in full detail.
Scaling with Google Cloud operations — This question tests Scaling with Google Cloud operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud SQL with read replicas. — Cloud SQL with read replicas is the correct choice because it allows you to offload read traffic to one or more read replicas, scaling out reads without downtime. Read replicas are asynchronous replicas of the primary instance, and you can promote them to standalone instances if needed, making this ideal for a read-heavy mobile backend that requires high availability.
What should I do if I get this GCDL 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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Question Discussion
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