Question 393 of 1,024
Cloud Technology and ServiceseasyMultiple ChoiceObjective-mapped

CLF-C02 Cloud Technology and Services Practice Question

This CLF-C02 practice question tests your understanding of cloud technology and services. 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.

A company wants to use machine learning to automatically identify objects, scenes, and activities in images uploaded by users. Which AWS service 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

Amazon Rekognition

Amazon Rekognition is the correct service because it is specifically designed to analyze images and videos to identify objects, scenes, activities, faces, and text. It provides pre-trained machine learning models that can automatically detect these elements without requiring custom model training, making it ideal for the use case described.

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.

  • Amazon Textract

    Why it's wrong here

    Textract extracts text and structured data from documents; it's optimized for document analysis, not general image understanding.

  • Amazon SageMaker

    Why it's wrong here

    SageMaker could train a custom vision model, but for standard image analysis Rekognition provides pre-trained capabilities without ML expertise.

  • Amazon Rekognition

    Why this is correct

    Rekognition provides pre-trained ML models for image and video analysis including object detection, facial analysis, and scene recognition via simple API calls.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon Comprehend

    Why it's wrong here

    Comprehend analyzes text for sentiment, entities, and language — it processes text data, not images.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse Amazon Rekognition with Amazon Textract or Amazon Comprehend, mistakenly thinking text extraction or NLP can handle visual analysis, when in fact Rekognition is the only service purpose-built for image and video content recognition.

Detailed technical explanation

How to think about this question

Amazon Rekognition uses deep learning models trained on vast datasets to perform tasks like object detection (e.g., identifying 'Car' or 'Dog'), scene detection (e.g., 'Beach' or 'Office'), and activity recognition (e.g., 'Running' or 'Dancing'). It supports both synchronous API calls for single images and asynchronous batch processing for large volumes, with built-in confidence scores to filter results. A real-world scenario is a social media platform automatically tagging uploaded photos with relevant labels for search and moderation.

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 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 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 CLF-C02 question test?

Cloud Technology and Services — This question tests Cloud Technology and Services — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Amazon Rekognition — Amazon Rekognition is the correct service because it is specifically designed to analyze images and videos to identify objects, scenes, activities, faces, and text. It provides pre-trained machine learning models that can automatically detect these elements without requiring custom model training, making it ideal for the use case described.

What should I do if I get this CLF-C02 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 11, 2026

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This CLF-C02 practice question is part of Courseiva's free Amazon Web Services 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 CLF-C02 exam.