- A
Use the 'Deploy' method on the model object with the 'mode' parameter set to 'canary' within the built-in XGBoost algorithm container.
Why wrong: The built-in algorithms do not have a 'canary' deployment mode; canary deployments are configured via the endpoint update configuration.
- B
Update the endpoint with a new production variant for the new model version and set the 'InitialVariantWeight' to 10 for the new variant and 90 for the old variant, specifying a 'BlueGreenUpdatePolicy' with a 'TrafficRoutingConfiguration' for canary.
This configuration uses SageMaker's blue/green deployment with canary traffic shifting, which is the correct approach.
- C
Ensure the endpoint is hosted on at least two instances to enable load balancing, then deploy the new model version as a separate variant and manually adjust the endpoint's DNS to split traffic.
Why wrong: Manual DNS changes are not recommended; SageMaker canary deployments automatically handle traffic splitting using endpoint variant weights.
- D
Deploy the new model as a separate endpoint and use a SageMaker predictor to randomly route 10% of inference requests to the new endpoint.
Why wrong: SageMaker does not support client-side routing via the predictor for canary deployments; it relies on endpoint variant weights.
MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
This MLA-C01 practice question tests your understanding of deployment and orchestration of ml workflows. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
An ML team at a financial services company has developed a fraud detection model using Amazon SageMaker. The model is currently deployed to a production endpoint with a single variant using the previous model version. The team wants to deploy a new model version with a canary deployment where 10% of traffic goes to the new version and 90% remains on the old version for 30 minutes before shifting all traffic to the new version if no issues are detected. Which step is essential to achieve this safe rollout?
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
Update the endpoint with a new production variant for the new model version and set the 'InitialVariantWeight' to 10 for the new variant and 90 for the old variant, specifying a 'BlueGreenUpdatePolicy' with a 'TrafficRoutingConfiguration' for canary.
Option C is correct because SageMaker canary deployments are configured by setting the 'BlueGreenUpdatePolicy' in an endpoint update. Option A is incorrect because SageMaker does not support A/B testing through the predictor directly. Option B is incorrect because SageMaker does not provide a built-in canary deployment mode via the built-in algorithms. Option D is incorrect because while the endpoint must be hosted on multiple instances, that alone does not enable canary routing.
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 'Deploy' method on the model object with the 'mode' parameter set to 'canary' within the built-in XGBoost algorithm container.
Why it's wrong here
The built-in algorithms do not have a 'canary' deployment mode; canary deployments are configured via the endpoint update configuration.
- ✓
Update the endpoint with a new production variant for the new model version and set the 'InitialVariantWeight' to 10 for the new variant and 90 for the old variant, specifying a 'BlueGreenUpdatePolicy' with a 'TrafficRoutingConfiguration' for canary.
Why this is correct
This configuration uses SageMaker's blue/green deployment with canary traffic shifting, which is the correct approach.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Ensure the endpoint is hosted on at least two instances to enable load balancing, then deploy the new model version as a separate variant and manually adjust the endpoint's DNS to split traffic.
Why it's wrong here
Manual DNS changes are not recommended; SageMaker canary deployments automatically handle traffic splitting using endpoint variant weights.
- ✗
Deploy the new model as a separate endpoint and use a SageMaker predictor to randomly route 10% of inference requests to the new endpoint.
Why it's wrong here
SageMaker does not support client-side routing via the predictor for canary deployments; it relies on endpoint variant weights.
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 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
Got this wrong? Here's your next step.
Identify which MLA-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
Questions learners often ask
What does this MLA-C01 question test?
Deployment and Orchestration of ML Workflows — This question tests Deployment and Orchestration of ML Workflows — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Update the endpoint with a new production variant for the new model version and set the 'InitialVariantWeight' to 10 for the new variant and 90 for the old variant, specifying a 'BlueGreenUpdatePolicy' with a 'TrafficRoutingConfiguration' for canary. — Option C is correct because SageMaker canary deployments are configured by setting the 'BlueGreenUpdatePolicy' in an endpoint update. Option A is incorrect because SageMaker does not support A/B testing through the predictor directly. Option B is incorrect because SageMaker does not provide a built-in canary deployment mode via the built-in algorithms. Option D is incorrect because while the endpoint must be hosted on multiple instances, that alone does not enable canary routing.
What should I do if I get this MLA-C01 question wrong?
Identify which MLA-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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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