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Analyze and optimize technical and business processes →easyMultiple ChoiceObjective-mapped

Google PCA Practice Question: Analyze and optimize technical and business processes

This PCA practice question tests your understanding of analyze and optimize technical and business processes. 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.

Exhibit

{
  "kind": "compute#instance",
  "name": "instance-1",
  "machineType": "https://www.googleapis.com/compute/v1/projects/my-project/zones/us-central1-a/machineTypes/n1-standard-2",
  "cpuPlatform": "Intel Skylake",
  "creationTimestamp": "2024-01-01T00:00:00.000-08:00",
  "status": "RUNNING"
}

Refer to the exhibit. The output is from `gcloud compute instances describe instance-1 --format=json`. What can you conclude from this output?

Question 1easymultiple choice
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Exhibit

{
  "kind": "compute#instance",
  "name": "instance-1",
  "machineType": "https://www.googleapis.com/compute/v1/projects/my-project/zones/us-central1-a/machineTypes/n1-standard-2",
  "cpuPlatform": "Intel Skylake",
  "creationTimestamp": "2024-01-01T00:00:00.000-08:00",
  "status": "RUNNING"
}

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

✓

The instance is billed based on the n1-standard-2 machine type.

The output from `gcloud compute instances describe instance-1 --format=json` would include a `machineType` field that specifies the full URL of the machine type, such as `https://www.googleapis.com/compute/v1/projects/.../zones/.../machineTypes/n1-standard-2`. This confirms the instance is using the predefined n1-standard-2 machine type, which has 2 vCPUs and 7.5 GB of memory, and billing is based on that predefined type. The absence of a `custom` suffix or custom CPU/memory values in the machine type field indicates it is not a custom machine type.

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.

  • ✓

    The instance is billed based on the n1-standard-2 machine type.

    Why this is correct

    The machine type determines the billing rate; n1-standard-2 is the type shown.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    The instance is using a custom machine type.

    Why it's wrong here

    The machine type is n1-standard-2, which is a predefined type, not custom.

  • ✗

    The instance is using committed use discounts.

    Why it's wrong here

    The output does not indicate any commitment discount.

  • ✗

    The instance has a GPU attached.

    Why it's wrong here

    No GPU fields are present in the output.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Google Cloud often tests the distinction between predefined and custom machine types by hiding the machine type in the `machineType` URL, and candidates mistakenly think any non-standard name implies a custom type, but the key is checking for the `custom-` prefix or explicit CPU/memory fields.

Trap categories for this question

  • Command / output trap

    The output does not indicate any commitment discount.

Detailed technical explanation

How to think about this question

The `machineType` field in the instance resource is a fully qualified URL that maps to a predefined or custom machine type definition in the Compute Engine API. Predefined types like n1-standard-2 have fixed vCPU-to-memory ratios (1:3.75 for n1-standard), while custom types allow arbitrary ratios but must be explicitly created. In real-world scenarios, misidentifying the machine type can lead to incorrect cost optimization decisions, such as assuming a custom type when it is actually a standard type, which affects eligibility for certain discounts like committed use discounts that apply only to predefined types.

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 PCA question test?

Analyze and optimize technical and business processes — This question tests Analyze and optimize technical and business processes — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The instance is billed based on the n1-standard-2 machine type. — The output from `gcloud compute instances describe instance-1 --format=json` would include a `machineType` field that specifies the full URL of the machine type, such as `https://www.googleapis.com/compute/v1/projects/.../zones/.../machineTypes/n1-standard-2`. This confirms the instance is using the predefined n1-standard-2 machine type, which has 2 vCPUs and 7.5 GB of memory, and billing is based on that predefined type. The absence of a `custom` suffix or custom CPU/memory values in the machine type field indicates it is not a custom machine type.

What should I do if I get this PCA 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 PCA 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 PCA exam.