Question 1,034 of 1,755
Machine Learning Implementation and OperationshardMultiple ChoiceObjective-mapped

Quick Answer

The answer is to increase the number of instances in the processing cluster. This reduces SageMaker Processing job time by enabling distributed processing, where the dataset is partitioned across multiple worker nodes that execute the feature engineering code in parallel. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of horizontal scaling versus vertical scaling: while choosing a larger instance type (vertical scaling) offers some improvement, it hits hardware limits and costs more per unit of performance. The exam often presents a trap where candidates confuse local mode (intended only for debugging) with production scaling, or assume changing the processing framework will magically speed up I/O-bound tasks. A key memory tip is to think "more hands make light work" — for large datasets, adding instances almost always outperforms upgrading a single machine.

MLS-C01 Practice Question: Machine Learning Implementation and Operations

This MLS-C01 practice question tests your understanding of machine learning implementation and operations. 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 machine learning team is using SageMaker Processing jobs to run feature engineering on large datasets. The job takes a long time to complete. Which change would most likely reduce the processing time?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "most likely"

    Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

Question 1hardmultiple choice
Full question →

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

Increase the number of instances in the processing cluster

Option B is correct: Increasing the instance count allows distributed processing, reducing time. Option A (larger instance) helps but is less scalable. Option C (local mode) is for testing, not production. Option D (changing framework) may not improve performance.

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.

  • Increase the number of instances in the processing cluster

    Why this is correct

    More instances allow parallel processing, reducing overall time.

    Clue confirmation

    The clue word "most likely" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Switch to local mode to avoid network overhead

    Why it's wrong here

    Local mode does not use distributed processing and is for small datasets.

  • Change the processing script from Python to PySpark

    Why it's wrong here

    Changing framework may not reduce time if the script is not optimized for Spark.

  • Use a larger instance type, e.g., from r5.xlarge to r5.24xlarge

    Why it's wrong here

    Larger instance improves performance but distributed processing scales better.

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.

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 healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.

What to study next

Got this wrong? Here's your next step.

Identify which MLS-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.

Related practice questions

Related MLS-C01 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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FAQ

Questions learners often ask

What does this MLS-C01 question test?

Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Increase the number of instances in the processing cluster — Option B is correct: Increasing the instance count allows distributed processing, reducing time. Option A (larger instance) helps but is less scalable. Option C (local mode) is for testing, not production. Option D (changing framework) may not improve performance.

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

Identify which MLS-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.

Are there clue words in this question I should notice?

Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 20, 2026

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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.