Question 1,659 of 1,755
ModelingmediumMultiple ChoiceObjective-mapped

MLS-C01 Modeling Practice Question

This MLS-C01 practice question tests your understanding of modeling. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.

Network Topology
aws sagemaker describe-training-jobtraining-job-name my-jobRefer to the exhibit.Output:"TrainingJobStatus": "Failed","HyperParameters": {"sagemaker_program": "train.py","sagemaker_submit_directory": "s3://my-bucket/script.tar.gz"},"InputDataConfig": ["ChannelName": "training","DataSource": {"S3DataSource": {"S3Uri": "s3://my-bucket/data/","S3DataType": "S3Prefix"

A training job fails with the error shown. The training script expects a file named 'train.csv' in the 'training' channel. What is the most likely cause?

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 1mediummultiple choice
Full question →
Network Topology
aws sagemaker describe-training-jobtraining-job-name my-jobRefer to the exhibit.Output:"TrainingJobStatus": "Failed","HyperParameters": {"sagemaker_program": "train.py","sagemaker_submit_directory": "s3://my-bucket/script.tar.gz"},"InputDataConfig": ["ChannelName": "training","DataSource": {"S3DataSource": {"S3Uri": "s3://my-bucket/data/","S3DataType": "S3Prefix"

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

The 'train.csv' file is located inside a subfolder within 's3://my-bucket/data/', and the script expects it directly in the channel path.

The error indicates that the training script cannot find 'train.csv' in the expected location. When SageMaker copies data from an S3 channel path (e.g., 's3://my-bucket/data/') to the training instance, it places the contents of that S3 prefix directly into the channel directory (e.g., '/opt/ml/input/data/training/'). If the CSV file is inside a subfolder (e.g., 's3://my-bucket/data/subfolder/train.csv'), the script will not find it at the top level of the channel path, causing a 'file not found' error.

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.

  • The 'train.csv' file is located inside a subfolder within 's3://my-bucket/data/', and the script expects it directly in the channel path.

    Why this is correct

    SageMaker downloads the entire S3 prefix; if the file is nested, it may not be at the expected location.

    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.

  • The S3 bucket policy denies access to the 'train.csv' file.

    Why it's wrong here

    The error message indicates a missing file, not an access denial.

  • The channel name in the input data configuration does not match the script's expected channel name.

    Why it's wrong here

    The channel name 'training' matches.

  • The training script has a bug that prevents it from reading the file.

    Why it's wrong here

    The error is a file not found, not a script exception.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the distinction between S3 prefix behavior and file location expectations, trapping candidates who assume SageMaker automatically searches subdirectories or flattens the S3 structure.

Detailed technical explanation

How to think about this question

SageMaker's input data configuration maps S3 prefixes to channel directories under '/opt/ml/input/data/<channel_name>/'. The service recursively copies all objects from the S3 prefix into that directory, but it does not flatten subdirectories — it preserves the relative path structure. Therefore, if 'train.csv' is in a subfolder, the script must either reference the subfolder path or the S3 prefix must point directly to the folder containing the file. This is a common pitfall when using SageMaker's built-in algorithms or custom containers that expect a single file at the root of the channel.

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.

TExam Day Tips

  • 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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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?

Modeling — This question tests Modeling — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The 'train.csv' file is located inside a subfolder within 's3://my-bucket/data/', and the script expects it directly in the channel path. — The error indicates that the training script cannot find 'train.csv' in the expected location. When SageMaker copies data from an S3 channel path (e.g., 's3://my-bucket/data/') to the training instance, it places the contents of that S3 prefix directly into the channel directory (e.g., '/opt/ml/input/data/training/'). If the CSV file is inside a subfolder (e.g., 's3://my-bucket/data/subfolder/train.csv'), the script will not find it at the top level of the channel path, causing a 'file not found' error.

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

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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 24, 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.