Cloud Digital Leader Scaling with Google Cloud operations Practice Question
This GCDL practice question tests your understanding of scaling with google cloud operations. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 uses Cloud Functions (2nd gen) to process events from Pub/Sub. During traffic spikes, function instances scale but latency increases. They want to maximize throughput per instance. What should they configure?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the concurrency setting.
Increasing the concurrency setting allows each Cloud Functions (2nd gen) instance to handle multiple requests simultaneously, maximizing throughput per instance during traffic spikes. By default, concurrency is 1, meaning each instance processes one event at a time; raising this value enables parallel processing within a single instance, reducing the need to scale out and lowering latency.
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.
✓
Increase the concurrency setting.
Why this is correct
Concurrency controls how many requests are handled by a single instance; higher concurrency increases throughput per instance.
Related concept
Read the scenario before looking for a memorised answer.
✗
Allocate more memory.
Why it's wrong here
More memory can improve performance for memory-intensive operations, but does not directly increase concurrency or throughput per instance.
✗
Increase the max instances limit.
Why it's wrong here
Max instances limits the total number of instances; it does not improve throughput per instance.
✗
Increase the function timeout.
Why it's wrong here
Timeout prevents execution from running too long, but does not increase the number of events an instance can process concurrently.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that scaling out (max instances) or increasing resources (memory) is the primary way to handle throughput, when the key to per-instance efficiency is concurrency tuning.
Detailed technical explanation
How to think about this question
Cloud Functions (2nd gen) uses an HTTP-based invocation model where each instance runs a single-threaded event loop by default. Configuring concurrency (via the `--concurrency` flag or `max_instances_per_request` setting) allows the runtime to dispatch multiple Pub/Sub messages to the same instance, leveraging asynchronous I/O to process them concurrently. In real-world scenarios, setting concurrency to 10–80 (depending on function logic) can dramatically reduce instance churn and cold starts, but must be balanced against resource contention and the function's ability to handle concurrent execution safely.
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: Increase the concurrency setting. — Increasing the concurrency setting allows each Cloud Functions (2nd gen) instance to handle multiple requests simultaneously, maximizing throughput per instance during traffic spikes. By default, concurrency is 1, meaning each instance processes one event at a time; raising this value enables parallel processing within a single instance, reducing the need to scale out and lowering latency.
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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