CLF-C02 Cloud Technology and Services Practice Question
A media company stores video files in Amazon S3 and needs to transcode them into multiple formats for different devices. Which AWS service is purpose-built for this workflow?
⚠ Common exam trap
It's easy for candidates to confuse Amazon Kinesis Video Streams (which deals with video but is for streaming/ingestion) with a transcoding service, or think AWS Lambda can easily handle transcoding without recognizing the specialized, managed nature of Elastic Transcoder.
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 Elastic Transcoder
Amazon Elastic Transcoder is a purpose-built media transcoding service that converts video files stored in Amazon S3 into the formats required by various devices. It handles the complexities of transcoding, including format conversion, resolution scaling, and bitrate adjustment, without requiring you to manage underlying infrastructure.
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 Kinesis Video Streams
Why it's wrong here
Amazon Kinesis Video Streams is designed for real-time ingestion, storage, and playback of live video feeds, not for converting static video file formats. It captures streaming data for consumption by analytics or ML applications via the Kinesis Video Streams API, and lacks the transcoding pipelines or output presets needed to produce device-specific formats from a stored object in Amazon S3.
- ✓
Amazon Elastic Transcoder
Why this is correct
Amazon Elastic Transcoder is a fully managed media transcoding service that converts video and audio files stored in Amazon S3 into optimized output formats for playback on devices like smartphones, tablets, and browsers. It natively integrates with S3 to fetch source media and write transcoded results, supports a wide range of containers/codecs, and provides predefined presets to simplify format conversion, making it the exact-purpose service for this scenario.
- ✗
AWS Lambda
Why it's wrong here
AWS Lambda is serverless compute with a maximum execution timeout of 15 minutes and limited ephemeral storage and memory, which makes it impractical for transcoding large video files where processing often runs longer and requires significant CPU resources. Lambda could potentially orchestrate transcoding by invoking other services, but it does not natively perform heavy media conversion and would need custom code plus additional infrastructure to handle the workload, making it unsuitable as the primary solution.
- ✗
Amazon Rekognition
Why it's wrong here
Amazon Rekognition is a computer vision service that analyzes video content to detect objects, faces, text, and inappropriate content, or perform facial recognition and person tracking. It does not modify or convert media files; it only reads and returns metadata about the visual content, so it cannot change the encoding, container, or resolution of a stored video file.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.