Quick Answer
The answer is Amazon SageMaker XGBoost, as it is the only algorithm among the listed options that supports Pipe input mode for streaming data directly from S3. Pipe mode works by sending training data in a streaming, first-in-first-out fashion directly to the algorithm container, eliminating the need to download the full 10 TB dataset to the training instance’s local storage, which dramatically reduces startup time and avoids disk bottlenecks. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of which built-in algorithms are optimized for large-scale, streaming data ingestion—a common scenario when dealing with terabytes of data. A frequent trap is assuming that all built-in algorithms support Pipe mode, but in reality, only XGBoost and a few others like Object Detection and Semantic Segmentation do; Linear Learner, K-Means, and PCA all require File mode. For a quick memory tip, think “XGBoost streams like a pipe,” while linear and clustering algorithms need the full file.
This MLS-C01 practice question tests your understanding of modeling. 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 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 algorithm supports Pipe mode?
Amazon SageMaker Linear Learner
Why wrong: Does not support Pipe mode.
Amazon SageMaker K-Means
Why wrong: Does not support Pipe mode.
Amazon SageMaker XGBoost
Supports Pipe input mode.
Amazon SageMaker PCA
Why wrong: Does not support Pipe mode.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon SageMaker XGBoost
Option A is correct because Amazon SageMaker XGBoost supports Pipe mode for streaming. Option B is wrong because Linear Learner does not support Pipe mode. Option C is wrong because K-Means does not support Pipe mode. Option D is wrong because PCA does not support Pipe mode.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon SageMaker Linear Learner
Why it's wrong here
Does not support Pipe mode.
Amazon SageMaker K-Means
Why it's wrong here
Does not support Pipe mode.
Amazon SageMaker XGBoost
Why this is correct
Supports Pipe input mode.
Related concept
Read the scenario before looking for a memorised answer.
Amazon SageMaker PCA
Why it's wrong here
Does not support Pipe mode.
Common exam traps
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
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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
Modeling — This question tests Modeling — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon SageMaker XGBoost — Option A is correct because Amazon SageMaker XGBoost supports Pipe mode for streaming. Option B is wrong because Linear Learner does not support Pipe mode. Option C is wrong because K-Means does not support Pipe mode. Option D is wrong because PCA does not support Pipe mode.
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.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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.
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