Question 164 of 988
Implement computer vision solutionsmediumMultiple ChoiceObjective-mapped

AI-102 Implement computer vision solutions Practice Question

This AI-102 practice question tests your understanding of implement computer vision solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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

Refer to the exhibit.

{
  "url": "https://example.com/image.jpg",
  "features": [
    "tags",
    "objects",
    "caption"
  ],
  "language": "en",
  "model-version": "latest",
  "gender-neutral-caption": true
}

You are calling the Azure AI Vision Image Analysis API with the above JSON request. The API returns a response that includes tags, objects, and a caption. However, the caption does not describe the image accurately. Which change should you make to improve the caption quality?

Question 1mediummultiple choice
Full question →

Exhibit

Refer to the exhibit.

{
  "url": "https://example.com/image.jpg",
  "features": [
    "tags",
    "objects",
    "caption"
  ],
  "language": "en",
  "model-version": "latest",
  "gender-neutral-caption": true
}

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

Set gender-neutral-caption to false

The correct answer is to remove 'gender-neutral-caption' or set it to false. Gender-neutral captions may be less descriptive. Option A is wrong because the model-version is already latest. Option B is wrong because language is already English. Option D is wrong because adding 'read' feature is for OCR, not caption quality.

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.

  • Change model-version to a newer version

    Why it's wrong here

    The latest version is already being used.

  • Add 'read' feature to the request

    Why it's wrong here

    The 'read' feature is for OCR, not for improving captions.

  • Set gender-neutral-caption to false

    Why this is correct

    Gender-neutral captions may omit descriptive terms, reducing accuracy.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Set language to 'en-US'

    Why it's wrong here

    The language 'en' is sufficient for English captions.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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FAQ

Questions learners often ask

What does this AI-102 question test?

Implement computer vision solutions — This question tests Implement computer vision solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Set gender-neutral-caption to false — The correct answer is to remove 'gender-neutral-caption' or set it to false. Gender-neutral captions may be less descriptive. Option A is wrong because the model-version is already latest. Option B is wrong because language is already English. Option D is wrong because adding 'read' feature is for OCR, not caption quality.

What should I do if I get this AI-102 question wrong?

Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 20, 2026

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This AI-102 practice question is part of Courseiva's free Microsoft 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 AI-102 exam.