The answer is to use the SageMaker SDK to directly read the data from S3 during training without copying it to the notebook instance. This approach minimizes data transfer costs because it avoids the expensive and time-consuming step of downloading the 500 GB dataset to the notebook’s EBS volume, instead streaming the data directly from S3 to the training container via the SageMaker `s3_input` or `FileSystem` mode. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this scenario tests your understanding of SageMaker’s managed training architecture and the cost implications of data locality—a common trap is assuming you must copy data to the notebook for faster access, which actually incurs unnecessary S3 GET request fees and EBS storage costs. The key insight is that SageMaker training jobs are ephemeral and optimized for S3 access, so always prefer native S3 data channels over intermediate storage. Memory tip: “Stream, don’t store” to avoid paying for data you don’t keep.
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.
A data scientist needs to train a machine learning model using a large dataset (500 GB) stored in an S3 bucket. The training will be performed on a SageMaker notebook instance. The data scientist wants to minimize data transfer costs and reduce training time. Which data ingestion approach should the data engineer recommend?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use the SageMaker SDK to directly read the data from S3 during training without copying it to the notebook.
Option C is correct because using S3 as a data source for SageMaker directly avoids copying data into the notebook instance, reducing transfer costs and time. Option A (copying to notebook EBS) incurs transfer costs and uses local storage. Option B (EFS) adds cost and complexity. Option D (RDS) is for structured data and incurs additional costs.
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.
✓
Use the SageMaker SDK to directly read the data from S3 during training without copying it to the notebook.
Why this is correct
SageMaker can read data directly from S3, minimizing transfer and storage costs.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Copy the dataset to the notebook instance's attached EBS volume before training.
Why it's wrong here
Copying data incurs transfer costs and uses local storage, increasing time and cost.
✗
Load the dataset into an Amazon RDS database and query it from the notebook.
Why it's wrong here
RDS is for transactional data, not for large ML datasets; incurs additional costs.
✗
Mount the S3 bucket to the notebook instance using Amazon Elastic File System (EFS).
Why it's wrong here
EFS is a network file system, not optimized for S3 access; it adds cost and complexity.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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.
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: Use the SageMaker SDK to directly read the data from S3 during training without copying it to the notebook. — Option C is correct because using S3 as a data source for SageMaker directly avoids copying data into the notebook instance, reducing transfer costs and time. Option A (copying to notebook EBS) incurs transfer costs and uses local storage. Option B (EFS) adds cost and complexity. Option D (RDS) is for structured data and incurs additional costs.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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