Quick Answer
The answer is Amazon S3, AWS Lambda, and Amazon SageMaker. This combination works because S3 can be configured to emit event notifications whenever new data lands in a bucket, and Lambda functions can subscribe to those events to programmatically invoke the SageMaker API, starting a retraining job without any manual intervention. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this pattern tests your understanding of event-driven architecture for MLOps, specifically how to automate SageMaker retraining on S3 new data in a serverless manner. A common trap is selecting AWS Glue or EC2, but Glue is for ETL pipelines, not for triggering training, and EC2 adds unnecessary overhead when Lambda handles the orchestration more efficiently. Remember the trigger chain: S3 event fires, Lambda catches, SageMaker trains—think of it as "S3-Lambda-SageMaker" for seamless automation.
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. 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 company uses Amazon SageMaker to train models. The data scientist wants to automate the retraining process whenever new data arrives in an S3 bucket. Which THREE services can be used together to achieve this? (Choose THREE.)
Amazon S3
S3 events can trigger the pipeline.
Amazon EC2
Why wrong: EC2 is not required for this automation.
AWS Lambda
Lambda can react to S3 events and start training.
Amazon SageMaker
SageMaker runs the training job.
AWS Glue
Why wrong: Glue is for ETL, not needed.
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 S3
Options A, C, and D are correct. A: Amazon S3 can trigger events on new data. C: AWS Lambda can process the event and start the training job. D: SageMaker can run the training job. Option B (Amazon EC2) is not needed. Option E (AWS Glue) is for ETL, not directly for triggering retraining.
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 S3
Why this is correct
S3 events can trigger the pipeline.
Related concept
Read the scenario before looking for a memorised answer.
Amazon EC2
Why it's wrong here
EC2 is not required for this automation.
AWS Lambda
Why this is correct
Lambda can react to S3 events and start training.
Related concept
Read the scenario before looking for a memorised answer.
Amazon SageMaker
Why this is correct
SageMaker runs the training job.
Related concept
Read the scenario before looking for a memorised answer.
AWS Glue
Why it's wrong here
Glue is for ETL, not needed.
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
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon S3 — Options A, C, and D are correct. A: Amazon S3 can trigger events on new data. C: AWS Lambda can process the event and start the training job. D: SageMaker can run the training job. Option B (Amazon EC2) is not needed. Option E (AWS Glue) is for ETL, not directly for triggering retraining.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company wants to use Amazon SageMaker to train a model using data that is updated daily. The training data is stored in an S3 bucket, and the team wants to automate the training process whenever new data arrives. Which AWS service should be used to trigger the SageMaker training job?
easyWhy A: Option B is correct because S3 events can trigger a Lambda function, which can then start the SageMaker training job. Option A is wrong because CloudWatch Events can schedule events but not directly triggered by S3 object creation. Option C is wrong because Step Functions can orchestrate the workflow but requires an S3 event to start. Option D is wrong because SQS is a queue service; it does not directly trigger Lambda from S3 events without additional setup.
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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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