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MLA-C01 Practice Question: A team has a large number of models that need to…
A team has a large number of models that need to be deployed for batch inference weekly. They want to minimize cost and management overhead. Which approach is MOST efficient?
⚠ Common exam trap
AWS often tests the distinction between batch and real-time inference, where candidates mistakenly choose persistent endpoints (Option C or D) for batch workloads, overlooking that Batch Transform is purpose-built for cost-efficient, ephemeral batch processing.
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
✓
Use SageMaker Batch Transform with separate jobs for each model.
SageMaker Batch Transform is the most efficient approach for weekly batch inference because it automatically provisions and terminates compute resources for each job, minimizing cost and management overhead. Running separate jobs for each model allows independent scaling and avoids the complexity of managing persistent endpoints or multi-model hosting for batch workloads.
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 SageMaker Pipelines to run inference as part of the pipeline.
Why it's wrong here
Pipelines are for orchestration, not primarily for batch inference.
- ✓
Use SageMaker Batch Transform with separate jobs for each model.
Why this is correct
Batch Transform jobs are ephemeral and cost-effective for batch workloads.
- ✗
Create a single SageMaker endpoint for all models and update the model periodically.
Why it's wrong here
A single endpoint can only host one model at a time, requiring frequent updates.
- ✗
Deploy each model to a separate SageMaker endpoint and delete after use.
Why it's wrong here
Managing many endpoints increases overhead and cost.
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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.