Managing Implementation and Ensuring Solution and Operations Reliability →easyMultiple ChoiceObjective-mapped
Google PCA Practice Question: Managing Implementation and Ensuring Solution and Operations Reliability
An engineer needs to create a custom dashboard in Cloud Monitoring to track the 99th percentile latency of their application over the last 7 days. Which type of metric should they use?
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
✓
Distribution metric
Cloud Monitoring supports metric types: gauge, delta, and cumulative. Distribution metrics can be used to calculate percentiles. The 99th percentile latency is typically captured as a distribution metric.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Distribution metric
Why this is correct
Distribution metrics track a statistical distribution of values and can compute percentiles like 99th.
- ✗
Delta metric
Why it's wrong here
A delta metric measures change over an interval, but percentiles require a distribution of values.
- ✗
Cumulative metric
Why it's wrong here
A cumulative metric increases over time and is reset; it does not support percentile calculations.
- ✗
Gauge metric
Why it's wrong here
A gauge metric represents a value at a point in time, not suitable for percentile calculations over a time window.
Go deeper
Related to this question
Learn chapter
Introduction to Google Cloud Platform
Key term
Alerting policy
An alerting policy is a set of rules that defines when to send notifications about a system condition that needs attention.
Key term
Latency
Latency is the time delay between a request being sent over a network and the response being received, often measured in milliseconds.
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