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.
A company is deploying a machine learning model using SageMaker hosting. They need to support multiple versions of the model for A/B testing. Which TWO actions are required to set up the A/B test? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure the endpoint to route a percentage of traffic to each variant using initial variant weight
Option C is correct because SageMaker endpoints use `initial variant weight` to distribute traffic among production variants. By setting this weight, you can route a specific percentage of inference requests to each model version, enabling A/B testing without changing the endpoint configuration.
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.
✗
Enable shadow variants to capture traffic for the new model without affecting users
Why it's wrong here
Shadow variants are used for canary testing, not A/B testing.
✗
Set up a batch transform job to compare performance offline
Why it's wrong here
Batch transform is not for real-time A/B testing.
✓
Configure the endpoint to route a percentage of traffic to each variant using initial variant weight
Why this is correct
Traffic splitting is achieved via variant weights.
Related concept
Read the scenario before looking for a memorised answer.
✗
Register both models in SageMaker Model Registry
Why it's wrong here
Model registry is optional; A/B testing can be done without it.
✓
Create an endpoint with two production variants, each serving a different model version
Why this is correct
Production variants host the models.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse shadow variants (which are for passive monitoring) with production variants (which are for active traffic splitting), leading them to select Option A instead of understanding that A/B testing requires explicit traffic routing via variant weights.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker endpoints use a load balancer that distributes requests based on the `initial variant weight` and `variant weight` parameters, which can be updated dynamically via `UpdateEndpointWeightsAndCapacities`. This allows you to start with a small percentage of traffic to a new variant and gradually increase it, while monitoring metrics like latency and error rates. A real-world scenario is rolling out a new model to 5% of users to validate performance before full deployment.
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.
TExam Day Tips
→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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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: Configure the endpoint to route a percentage of traffic to each variant using initial variant weight — Option C is correct because SageMaker endpoints use `initial variant weight` to distribute traffic among production variants. By setting this weight, you can route a specific percentage of inference requests to each model version, enabling A/B testing without changing the endpoint configuration.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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