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Machine Learning Implementation and OperationshardMultiple SelectObjective-mapped

MLS-C01 Practice Question: Machine Learning Implementation and Operations

Which THREE measures can help reduce inference latency for a deep learning model deployed on SageMaker real-time endpoints? (Select THREE.)

⚠ Common exam trap

The MLS-C01 exam often tests the misconception that increasing batch size always reduces latency, but for real-time endpoints, larger batches increase per-request processing time, making it a throughput optimization, not a latency reduction technique.

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

Enable SageMaker Neo to compile the model.

A is correct because SageMaker Neo compiles the trained model into an optimized binary for the target hardware (e.g., CPU, GPU, or Inferentia), using Apache TVM to fuse operations and prune unused computations. This reduces inference latency by up to 2x without requiring code changes, making it a direct latency-reduction measure for real-time endpoints.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Enable SageMaker Neo to compile the model.

    Why this is correct

    Neo optimizes models for target hardware, reducing latency.

  • Increase the batch size for inference.

    Why it's wrong here

    Larger batch sizes increase latency per request, though throughput may improve.

  • Use GPU instances for inference.

    Why this is correct

    GPUs accelerate deep learning inference.

  • Reduce the input data size (e.g., lower resolution images).

    Why this is correct

    Smaller inputs reduce computation time.

  • Use a multi-model endpoint to share the instance.

    Why it's wrong here

    Multi-model endpoints can add latency when loading models.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.