Question 552 of 1,755
Data EngineeringhardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is that the file is 5 GB and stored as CSV. This is determined by interpreting the S3 head-object metadata: the Content-Length header shows 5,368,709,120 bytes, which converts to exactly 5 GB, and the Content-Type or metadata fields explicitly indicate a CSV format. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this command tests your ability to read raw S3 object metadata to assess file suitability for SageMaker training jobs, where input size and format directly impact instance selection and data ingestion. A common trap is misreading byte values—remember that 1 GB equals 1,073,741,824 bytes, so 5 GB is roughly 5.37 billion bytes, not 5 million. Another trick is assuming versioning is enabled when it is not, as shown by a null VersionId. Memory tip: “Head for size, check the type—bytes to GB, divide by 1.07 billion.”

MLS-C01 Data Engineering Practice Question

This MLS-C01 practice question tests your understanding of data engineering. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 s3api head-objectbucket my-ml-datakey train/data.csvRefer to the exhibit."LastModified": "2024-01-15T10:30:00Z","ContentLength": 5368709120,"ETag": "\"abc123def456\"","VersionId": "null","Metadata": {"format": "csv","columns": "feature1,feature2,label"

An ML engineer runs the AWS CLI command shown in the exhibit on a file in S3. The engineer wants to use this file in a SageMaker training job. What does the output reveal about the data?

Question 1hardmultiple choice
Full question →
Network Topology
$ aws s3api head-objectbucket my-ml-datakey train/data.csvRefer to the exhibit."LastModified": "2024-01-15T10:30:00Z","ContentLength": 5368709120,"ETag": "\"abc123def456\"","VersionId": "null","Metadata": {"format": "csv","columns": "feature1,feature2,label"

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 file is 5 GB and is stored as a CSV

Option B is correct because ContentLength is 5,368,709,120 bytes = 5 GB, and the file is a CSV. Option A is wrong because the file is 5 GB, not 5 MB. Option C is wrong because versioning is disabled (VersionId: null). Option D is wrong because the metadata shows the file is CSV, not Parquet.

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 file is 5 GB and is stored as a CSV

    Why this is correct

    ContentLength indicates 5 GB, and metadata shows format: csv.

    Related concept

    Read the scenario before looking for a memorised answer.

  • The file is 5 MB and is stored as a CSV

    Why it's wrong here

    ContentLength is 5 GB, not 5 MB.

  • The file is in Parquet format with two features and one label

    Why it's wrong here

    Metadata indicates CSV, not Parquet.

  • The file is versioned and can be accessed by version ID

    Why it's wrong here

    VersionId is null, meaning versioning is not enabled.

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 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 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.

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FAQ

Questions learners often ask

What does this MLS-C01 question test?

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

What is the correct answer to this question?

The correct answer is: The file is 5 GB and is stored as a CSV — Option B is correct because ContentLength is 5,368,709,120 bytes = 5 GB, and the file is a CSV. Option A is wrong because the file is 5 GB, not 5 MB. Option C is wrong because versioning is disabled (VersionId: null). Option D is wrong because the metadata shows the file is CSV, not Parquet.

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.

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.