- A
Use a Lambda function in CodePipeline to manually adjust weights in Route53.
Why wrong: This is a complex, custom solution; CodeDeploy is the recommended approach.
- B
Use CodeDeploy with a canary deployment configuration in the Deploy to Prod stage.
CodeDeploy provides built-in canary traffic shifting for both EC2/On-Premises and Lambda.
- C
Use an Elastic Load Balancer to gradually shift traffic using weighted target groups.
Why wrong: This would require manual management and is not integrated with CodePipeline.
- D
Use CloudFormation with a canary update policy in the Deploy to Prod stage.
Why wrong: CloudFormation does not natively support canary deployments for EC2 or Lambda.
Question 241 of 1,750
Canary Deployment in CodePipeline: Using CodeDeploy Canary Configuration
This DOP-C02 practice question tests your understanding of sdlc automation. 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 organization uses AWS CodePipeline with multiple stages: Source, Build, Deploy to Test, Deploy to Prod. They want to implement a canary deployment strategy for the production deployment. Which approach 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
✓
Use CodeDeploy with a canary deployment configuration in the Deploy to Prod stage.
AWS CodePipeline integrates natively with CodeDeploy, which supports canary deployments by shifting a percentage of traffic to the new revision over a specified time interval (e.g., 10% every 5 minutes). Using CodeDeploy with a canary configuration in the Deploy to Prod stage directly implements the desired canary strategy within the pipeline, leveraging CodeDeploy's built-in traffic shifting and health monitoring.
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 a Lambda function in CodePipeline to manually adjust weights in Route53.
Why it's wrong here
This is a complex, custom solution; CodeDeploy is the recommended approach.
- ✓
Use CodeDeploy with a canary deployment configuration in the Deploy to Prod stage.
Why this is correct
CodeDeploy provides built-in canary traffic shifting for both EC2/On-Premises and Lambda.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use an Elastic Load Balancer to gradually shift traffic using weighted target groups.
Why it's wrong here
This would require manual management and is not integrated with CodePipeline.
- ✗
Use CloudFormation with a canary update policy in the Deploy to Prod stage.
Why it's wrong here
CloudFormation does not natively support canary deployments for EC2 or Lambda.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse traffic routing mechanisms (like ELB weighted target groups) with deployment strategies (like CodeDeploy canary), failing to recognize that CodeDeploy provides the orchestration, lifecycle hooks, and automated rollback that a true canary deployment requires.
Detailed technical explanation
How to think about this question
CodeDeploy's canary configuration uses a linear or canary traffic shifting model defined by a 'traffic routing' configuration (e.g., Canary10Percent5Minutes), where the deployment group's load balancer (ALB/NLB) target group weights are automatically adjusted. Under the hood, CodeDeploy uses the Elastic Load Balancing API to modify target group weights and monitors the health of the new instances via the load balancer's health checks before shifting more traffic. In a real-world scenario, if the canary fails health checks, CodeDeploy automatically rolls back by restoring the original target group weights, ensuring minimal impact.
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.
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FAQ
Questions learners often ask
What does this DOP-C02 question test?
SDLC Automation — This question tests SDLC Automation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use CodeDeploy with a canary deployment configuration in the Deploy to Prod stage. — AWS CodePipeline integrates natively with CodeDeploy, which supports canary deployments by shifting a percentage of traffic to the new revision over a specified time interval (e.g., 10% every 5 minutes). Using CodeDeploy with a canary configuration in the Deploy to Prod stage directly implements the desired canary strategy within the pipeline, leveraging CodeDeploy's built-in traffic shifting and health monitoring.
What should I do if I get this DOP-C02 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
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