MLS-C01 Modeling Practice Question

A machine learning engineer is training a model using Amazon SageMaker. The training data is stored in S3 and is 10 TB. The engineer wants to use Pipe input mode to stream data from S3. Which algorithms support Pipe mode? (Select all that apply)

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

✓

Amazon SageMaker Linear Learner

Amazon SageMaker's built-in algorithms, including Linear Learner, K-Means, XGBoost, and PCA, all support Pipe mode for streaming training data from S3. Therefore, all the listed options (A, B, C, D) are correct.

Answer analysis

Option-by-option breakdown

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

✓
Amazon SageMaker Linear Learner
Why this is correct
Amazon SageMaker Linear Learner supports Pipe mode for streaming training data.
✓
Amazon SageMaker K-Means
Why this is correct
Amazon SageMaker K-Means supports Pipe mode.
✓
Amazon SageMaker XGBoost
Why this is correct
Amazon SageMaker XGBoost supports Pipe mode.
✓
Amazon SageMaker PCA
Why this is correct
Amazon SageMaker PCA supports Pipe mode.

Quick reference

AWS S3 Storage Class Comparison

Storage Class	Min Duration	Retrieval	Use Case
S3 Standard	None	Immediate	Frequently accessed data
S3 Standard-IA	30 days	Immediate	Infrequent access, rapid retrieval
S3 One Zone-IA	30 days	Immediate	Non-critical infrequent data
S3 Intelligent-Tiering	None	Immediate–hours	Unknown or changing access patterns
S3 Glacier Instant	90 days	Milliseconds	Archive with instant retrieval
S3 Glacier Flexible	90 days	Minutes–hours	Archive, flexible retrieval
S3 Glacier Deep Archive	180 days	Hours	Long-term compliance archive

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Last reviewed: Jun 20, 2026

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