MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company is using Amazon SageMaker Ground Truth to build a training dataset for an image classification model. The company has a large number of unlabeled images stored in Amazon S3. The data science team wants to use a private workforce consisting of internal employees to label the images. The team creates a labeling job with a private workforce. After starting the job, the team notices that the labeling tasks are not being assigned to any workers. The workers have been added to the private workforce and have received their login credentials. What is the MOST likely cause of this issue?
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
✓
The workers have not been added to the work team that is assigned to the labeling job.
For a private workforce, workers must be added to a work team that is associated with the labeling job. If workers are not added to the work team, the labeling tasks will not be assigned to them. Option D correctly identifies that the workers have not been added to the work team. Option A (different task type) would affect the labeling interface, not task assignment. Option B (S3 bucket permissions) would prevent workers from viewing images but not from receiving tasks. Option C (IAM permissions) would prevent login, not task assignment.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The labeling job is configured for a different task type than image classification.
Why it's wrong here
Wrong: Task type does not affect assignment; workers would see tasks of that type.
- ✗
The S3 bucket containing the images has incorrect permissions, preventing workers from viewing the images.
Why it's wrong here
Wrong: Workers can see tasks even if they cannot load images; they would see a broken image.
- ✗
The workers do not have the required IAM permissions to access the labeling portal.
Why it's wrong here
Wrong: IAM permissions affect login, not task assignment after login.
- ✓
The workers have not been added to the work team that is assigned to the labeling job.
Why this is correct
Correct: Workers must be part of the work team to receive tasks.
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
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