MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company is using Amazon SageMaker Ground Truth to create a labeled dataset for object detection. The labeling job is taking longer than expected. The team notices that many workers are spending a lot of time on images with no objects. Which labeling strategy should they use to reduce costs and time?
⚠ Common exam trap
It's easy for candidates to assume 'automated data labeling' (Option C) is the fastest solution, but they overlook that it requires a pre-trained model and labeled data to start, making it impractical for a new labeling project where the goal is to create the initial labeled dataset.
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
✓
Create a pre-labeling task where workers only identify if an object exists, then send only positive images for full labeling.
It introduces a two-stage labeling workflow: first, workers perform a quick binary classification to identify images containing objects, and only those positive images proceed to the expensive, time-consuming bounding box annotation. This directly reduces the cost and time spent on empty images, which is the root cause of the delay.
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 private workforce instead of public.
Why it's wrong here
Private workforce may be faster but does not address the empty image issue.
- ✓
Create a pre-labeling task where workers only identify if an object exists, then send only positive images for full labeling.
Why this is correct
This two-stage approach reduces work on empty images.
- ✗
Use automated data labeling with a pre-trained model to filter empty images.
Why it's wrong here
Automated labeling can create labels but not filter tasks; workers still see all images.
- ✗
Increase the number of workers per dataset object.
Why it's wrong here
More workers per object increases cost and time.
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