Question 208 of 500
Implementing service monitoring strategieshardMultiple ChoiceObjective-mapped

PCDOE Implementing service monitoring strategies Practice Question

This PCDOE practice question tests your understanding of implementing service monitoring strategies. 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 company wants to reduce costs associated with Cloud Monitoring. They have many custom metrics and high ingestion rates. Which cost optimization strategy is most effective?

Question 1hardmultiple choice
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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

Delete all unused custom metrics and reduce labels.

Option D is correct because deleting unused custom metrics and reducing labels directly reduces the volume of data ingested and stored, which is the primary cost driver in Cloud Monitoring (formerly Stackdriver). Custom metrics incur charges per data point ingested, and each unique label combination creates additional time series, multiplying costs. This strategy eliminates waste without sacrificing necessary monitoring fidelity.

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.

  • Use log-based metrics instead of custom metrics.

    Why it's wrong here

    Log-based metrics incur logging costs, which may offset monitoring savings.

  • Aggregate metrics into buckets and export to BigQuery for analysis.

    Why it's wrong here

    Exporting does not reduce ingestion cost; aggregation into buckets is not a standard Cloud Monitoring feature.

  • Reduce the sampling rate of all custom metrics to 1 minute.

    Why it's wrong here

    Lower sampling may reduce data points but not necessarily cost if the metric volume remains high.

  • Delete all unused custom metrics and reduce labels.

    Why this is correct

    Unused metrics and high label cardinality contribute to costs; cleaning them up is the most direct approach.

    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 reducing sampling frequency or moving metrics to logs will always lower costs, when in fact the most effective first step is eliminating unused metrics and reducing label cardinality to minimize the number of time series ingested.

Detailed technical explanation

How to think about this question

Cloud Monitoring pricing is based on the number of metric data points ingested and the number of time series created. Each unique combination of metric name, resource, and label key-value pairs generates a separate time series. For example, a custom metric with 10 label keys each having 10 possible values can create up to 10^10 time series, leading to exponential cost growth. Deleting unused metrics and pruning labels reduces the cardinality of time series, directly lowering the bill.

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

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PCDOE question test?

Implementing service monitoring strategies — This question tests Implementing service monitoring strategies — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Delete all unused custom metrics and reduce labels. — Option D is correct because deleting unused custom metrics and reducing labels directly reduces the volume of data ingested and stored, which is the primary cost driver in Cloud Monitoring (formerly Stackdriver). Custom metrics incur charges per data point ingested, and each unique label combination creates additional time series, multiplying costs. This strategy eliminates waste without sacrificing necessary monitoring fidelity.

What should I do if I get this PCDOE 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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Last reviewed: Jun 30, 2026

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This PCDOE 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 PCDOE exam.