MLS-C01 Practice Question: Machine Learning Implementation and Operations
A machine learning engineer is setting up a training job in Amazon SageMaker. Which THREE components are required to define a training job? (Choose three.)
⚠ Common exam trap
AWS commonly tests the distinction between required and optional parameters in SageMaker training jobs, and candidates mistakenly assume that hyperparameters or VPC settings are mandatory when they are actually optional.
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
✓
Output data configuration (e.g., model artifact path).
Output data configuration (e.g., model artifact path) is required because SageMaker needs to know where to save the trained model artifacts (e.g., the model.tar.gz file) in Amazon S3. Without this path, the training job cannot complete successfully as it has no destination for the output.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
VPC configuration for network isolation.
Why it's wrong here
Optional, not required.
- ✗
Hyperparameters for the algorithm.
Why it's wrong here
Optional, not required.
- ✓
Output data configuration (e.g., model artifact path).
Why this is correct
Specifies where to save output.
- ✓
An algorithm or custom container image.
Why this is correct
Needed for training.
- ✓
Input data configuration (e.g., S3 path).
Why this is correct
Specifies training data.
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 |
Go deeper
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This MLS-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 MLS-C01 exam.