- A
Blue/green deployment
Why wrong: Blue/green switches all traffic at once, not gradually.
- B
Shadow testing
Why wrong: Shadow testing sends duplicate traffic to the new variant without affecting users, but does not gradually shift real traffic.
- C
Direct deployment with immediate full traffic
Why wrong: This is not gradual and doesn't provide A/B testing capability.
- D
Canary deployment
Canary deployment progressively shifts traffic percentage over time, enabling monitoring and rollback.
Question 138 of 1,000
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. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 machine learning team needs to deploy a new model version for A/B testing, gradually shifting traffic from the old version to the new version over 24 hours. Which deployment strategy should they use?
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
✓
Canary deployment
Canary deployment is the correct strategy because it allows gradual traffic shifting from the old model version to the new one over a specified time period (e.g., 24 hours) while monitoring for errors or performance degradation. This approach minimizes risk by exposing only a small percentage of users to the new version initially, then incrementally increasing traffic as confidence grows, which aligns perfectly with the A/B testing requirement.
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.
- ✗
Blue/green deployment
Why it's wrong here
Blue/green switches all traffic at once, not gradually.
- ✗
Shadow testing
Why it's wrong here
Shadow testing sends duplicate traffic to the new variant without affecting users, but does not gradually shift real traffic.
- ✗
Direct deployment with immediate full traffic
Why it's wrong here
This is not gradual and doesn't provide A/B testing capability.
- ✓
Canary deployment
Why this is correct
Canary deployment progressively shifts traffic percentage over time, enabling monitoring and rollback.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between canary and blue/green deployment, where candidates mistakenly choose blue/green because both involve two versions, but blue/green is an instant switch, not a gradual traffic shift.
Detailed technical explanation
How to think about this question
In canary deployment, the new model version is initially deployed to a small subset of inference endpoints (e.g., 5% of traffic) using a weighted routing mechanism, such as an Application Load Balancer with target group weights or a service mesh like Istio. The traffic ratio is then adjusted programmatically over time (e.g., via AWS CodeDeploy or SageMaker endpoint update with traffic shifting), and rollback is automatic if error rates exceed a predefined threshold. A real-world scenario is deploying a fraud detection model where a sudden full rollout could cause false positives, so canary deployment allows monitoring of precision and recall metrics before full release.
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.
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Deployment and Orchestration of ML Workflows — study guide chapter
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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: Canary deployment — Canary deployment is the correct strategy because it allows gradual traffic shifting from the old model version to the new one over a specified time period (e.g., 24 hours) while monitoring for errors or performance degradation. This approach minimizes risk by exposing only a small percentage of users to the new version initially, then incrementally increasing traffic as confidence grows, which aligns perfectly with the A/B testing requirement.
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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Last reviewed: Jul 4, 2026
This MLA-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 MLA-C01 exam.
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