MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company is using Amazon SageMaker to train a model. The training data is stored in an S3 bucket. The data scientist wants to use the Pipe mode for training to stream data directly from S3 instead of downloading it first. Which of the following is a prerequisite for using Pipe mode?
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 training data must be in RecordIO-protobuf or TFRecord format.
Pipe mode in Amazon SageMaker streams data directly from S3 to the training algorithm without downloading it first. This mode requires the data to be in a format that supports random access and chunked reading, such as RecordIO-protobuf or TFRecord. Option D is correct because these formats enable efficient streaming. Option A is incorrect: SageMaker can uncompress data on the fly if needed, and compression is not a prerequisite. Option B is incorrect: the S3 bucket does not need public read access; SageMaker uses IAM roles to access the data. Option C is incorrect: Pipe mode works best with multiple sharded files, not a single large file, to allow parallel streaming.
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 training data must be compressed using Gzip.
Why it's wrong here
Compression is optional; Pipe mode works with uncompressed data.
- ✗
The S3 bucket must have public read access.
Why it's wrong here
SageMaker uses IAM roles, not public access.
- ✗
The training data must be stored as a single large file.
Why it's wrong here
Pipe mode can handle multiple files.
- ✓
The training data must be in RecordIO-protobuf or TFRecord format.
Why this is correct
Pipe mode streams data line by line; RecordIO and TFRecord are supported.
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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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.