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Fundamentals of AI and MLmediumMultiple ChoiceObjective-mapped

AIF-C01 Fundamentals of AI and ML Practice Question

A data scientist is using Amazon SageMaker to train a model. The training job is taking longer than expected. Which change would most likely reduce training time?

⚠ Common exam trap

The AIF-C01 exam often tests the misconception that reducing instance size or enabling spot instances directly improves training speed, when in fact these changes primarily affect cost or resource availability, not performance.

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 a larger batch size

Using a larger batch size allows the model to process more training samples per iteration, which reduces the number of weight updates needed per epoch and can improve hardware utilization (e.g., GPU parallelism). This often leads to faster training times, provided the batch size fits within memory constraints and does not degrade model convergence.

Answer analysis

Option-by-option breakdown

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

  • Increase the number of training epochs

    Why it's wrong here

    More epochs means more passes over data, increasing training time.

  • Use a larger batch size

    Why this is correct

    A larger batch size processes more samples per iteration, reducing the number of steps and overall time, provided the hardware supports it.

  • Use a smaller instance type

    Why it's wrong here

    A smaller instance has less compute capacity, likely increasing training time.

  • Enable spot training

    Why it's wrong here

    Spot training may reduce cost but can interrupt and prolong training.

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Written by Johnson Ajibi, MSc IT Security

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This AIF-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 AIF-C01 exam.