MLA-C01 Data Preparation for Machine Learning Practice Question
A company uses Amazon SageMaker Ground Truth to create labeled datasets for object detection. The output must be in COCO format for downstream model training. How should the data preparation process be configured?
⚠ Common exam trap
Watch out — candidates often assume post-processing is always required for format conversion, overlooking that Ground Truth can directly output COCO format when the correct task type and output format are selected in the labeling job configuration.
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
✓
Select 'Object Detection' task type and specify 'COCO' as the output format in the labeling job configuration
Amazon SageMaker Ground Truth natively supports outputting object detection labeling jobs in COCO format. When you select 'Object Detection' as the task type, the labeling job configuration includes an option to specify 'COCO' as the output format, which automatically structures the labeled data into the required COCO JSON schema without any post-processing.
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 a built-in transformation to convert from Ground Truth JSON to COCO after labeling
Why it's wrong here
You can choose the output format directly.
- ✗
Use a pre-built AWS Lambda function to transform annotations to COCO
Why it's wrong here
Not required; Ground Truth has native output format options.
- ✗
Write a custom SageMaker Processing script to convert the output to COCO
Why it's wrong here
This adds unnecessary complexity.
- ✓
Select 'Object Detection' task type and specify 'COCO' as the output format in the labeling job configuration
Why this is correct
Ground Truth supports COCO output for object detection tasks.
Go deeper
Related to this question
About these practice questions
This MLA-C01 question is part of Courseiva's 835-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLA-C01 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 MLA-C01 exam.