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MLS-C01 Modeling Practice Question

Network Topology
aws sagemaker describe-training-jobtraining-job-name my-training-jobRefer to the exhibit.```"TrainingJobName": "my-training-job","TrainingJobStatus": "Failed","ResourceConfig": {"InstanceType": "ml.m5.large","InstanceCount": 1,"VolumeSizeInGB": 30},"InputDataConfig": ["ChannelName": "training","DataSource": {"S3DataSource": {"S3DataType": "S3Prefix","S3Uri": "s3://my-bucket/data"

A data scientist runs a SageMaker training job and receives the above error. The S3 bucket 'my-bucket' contains a folder 'data' with a file 'data.csv'. What is the MOST likely cause of the error?

⚠ Common exam trap

Many candidates confuse S3 prefixes (folders) with S3 objects (files), assuming SageMaker can automatically resolve a folder to its contents, when in fact it requires an explicit file path for training data channels.

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 S3 URI should be s3://my-bucket/data/data.csv instead of s3://my-bucket/data

The error occurs because the SageMaker training job expects a specific S3 object URI (pointing to a file), not a prefix (pointing to a folder). When you specify `s3://my-bucket/data`, SageMaker interprets it as a prefix and attempts to list objects under that prefix, but the training channel requires a direct file reference. Using `s3://my-bucket/data/data.csv` provides the exact object path, allowing SageMaker to download the file correctly.

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 instance type ml.m5.large does not have enough memory

    Why it's wrong here

    Memory is not the issue indicated by the error.

  • The VolumeSizeInGB is too small to download the data

    Why it's wrong here

    Volume size is sufficient for a small file.

  • The S3 URI should be s3://my-bucket/data/data.csv instead of s3://my-bucket/data

    Why this is correct

    If the training script expects a single file, the S3 URI must point to the file directly.

  • The S3 bucket and the training job are in different regions

    Why it's wrong here

    Cross-region access would cause a different error.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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JA

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.