Question 67 of 1,000
ML Model DevelopmentmediumMultiple SelectObjective-mapped

MLA-C01 ML Model Development Practice Question

This MLA-C01 practice question tests your understanding of ml model development. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A data scientist is using SageMaker Autopilot for a regression problem. They want to see which data preprocessing steps Autopilot applied. Which TWO sources can they use to find this information?

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

Candidate definition notebook

The candidate definition notebook contains the generated code for data preprocessing and model training. The data exploration report includes statistics but not the exact preprocessing steps. The model leaderboard only shows metrics. The explainability report shows feature importance. The Autopilot job description in CloudTrail shows API calls but not the steps.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Candidate definition notebook

    Why this is correct

    The candidate definition notebook includes code for all preprocessing steps.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Model leaderboard

    Why it's wrong here

    The leaderboard shows model metrics and rankings, not preprocessing details.

  • Autopilot job description in AWS CloudTrail

    Why it's wrong here

    CloudTrail logs API calls, not the details of data preprocessing.

  • Data exploration report

    Why it's wrong here

    The data exploration report provides summary statistics, not the exact preprocessing steps.

  • Explainability report

    Why it's wrong here

    The explainability report shows feature importance, not preprocessing steps.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Trap categories for this question

  • Command / output trap

    The leaderboard shows model metrics and rankings, not preprocessing details.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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FAQ

Questions learners often ask

What does this MLA-C01 question test?

ML Model Development — This question tests ML Model Development — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Candidate definition notebook — The candidate definition notebook contains the generated code for data preprocessing and model training. The data exploration report includes statistics but not the exact preprocessing steps. The model leaderboard only shows metrics. The explainability report shows feature importance. The Autopilot job description in CloudTrail shows API calls but not the steps.

What should I do if I get this MLA-C01 question wrong?

Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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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.