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Amazon DOP-C02 Exam - Topic 1 Question 50 Discussion

A company has a single developer writing code for an automated deployment pipeline. The developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more developers to the team but is concerned about code conflicts and lost work The company also wants to build a test environment to deploy newer versions of code for testing and allow developers to automatically deploy to both environments when code is changed in the repository.What is the MOST efficient way to meet these requirements?
A) Create an AWS CodeCommit repository tor each project, use the mam branch for production code: and create a testing branch for code deployed to testing Use feature branches to develop new features and pull requests to merge code to testing and main branches.
B) Create another S3 bucket for each project for testing code, and use an AWS Lambda function to promote code changes between testing and production buckets Enable versioning on all buckets to prevent code conflicts.
C) Create an AWS CodeCommit repository for each project, and use the main branch for production and test code with different deployment pipelines for each environment Use feature branches to develop new features.
D) Enable versioning and branching on each S3 bucket, use the main branch for production code, and create a testing branch for code deployed to testing. Have developers use each branch for developing in each environment.

Amazon DOP-C02 Exam - Topic 1 Question 50 Discussion

Actual exam question for Amazon's DOP-C02 exam
Question #: 50
Topic #: 1
[All DOP-C02 Questions]

A company has a single developer writing code for an automated deployment pipeline. The developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more developers to the team but is concerned about code conflicts and lost work The company also wants to build a test environment to deploy newer versions of code for testing and allow developers to automatically deploy to both environments when code is changed in the repository.

What is the MOST efficient way to meet these requirements?

Show Suggested Answer Hide Answer
Suggested Answer: A

Creating an AWS CodeCommit repository for each project, using the main branch for production code, and creating a testing branch for code deployed to testing will meet the requirements.AWS CodeCommit is a managed revision control service that hosts Git repositories and works with all Git-based tools1. By using feature branches to develop new features and pull requests to merge code to testing and main branches, the developers can avoid code conflicts and lost work, and also implement code reviews and approvals. Option B is incorrect because creating another S3 bucket for each project for testing code and using an AWS Lambda function to promote code changes between testing and production buckets will not provide the benefits of revision control, such as tracking changes, branching, merging, and collaborating. Option C is incorrect because using the main branch for production and test code with different deployment pipelines for each environment will not allow the developers to test their code changes before deploying them to production. Option D is incorrect because enabling versioning and branching on each S3 bucket will not work with Git-based tools and will not provide the same level of revision control as AWS CodeCommit.Reference:

AWS CodeCommit

Certified DevOps Engineer - Professional (DOP-C02) Study Guide(page 182)


by Jackie at Jul 03, 2025, 02:24 PM

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Chaya
5 months ago
Versioning on S3? Not sure that’s the best approach for collaboration.
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My
6 months ago
I like option C, separate pipelines could help with deployment clarity.
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Ciara
6 months ago
I disagree, S3 buckets are not ideal for version control.
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Hermila
6 months ago
Wait, using S3 for code? That sounds risky!
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Lashonda
6 months ago
Option A seems solid for managing branches and pull requests.
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Adolph
7 months ago
Option D mentions versioning and branching in S3, which I think we covered, but I’m not sure if that’s the most efficient way. I feel like CodeCommit would be better for collaboration.
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Mickie
7 months ago
I’m leaning towards option B because it mentions using Lambda for promoting code, which could automate some processes. But I’m not confident if S3 is the best choice for source control.
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Sherman
7 months ago
I think we practiced a similar question where using AWS CodeCommit was recommended for collaboration. Option C sounds familiar, but I’m a bit confused about the deployment pipelines part.
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Ahmad
7 months ago
I remember we discussed the importance of using version control systems to avoid code conflicts. Option A seems to align with that, but I'm not entirely sure about the branching strategy.
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Almeta
7 months ago
I'm leaning towards option D. Enabling versioning and branching on the S3 buckets seems like a straightforward way to manage the code, and it avoids the complexity of setting up a separate CodeCommit repository. As long as the developers are careful about which branch they're working in, this could be a simple and effective solution.
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Karma
8 months ago
Option C looks promising to me. Having a single CodeCommit repository with separate pipelines for production and testing makes sense, and using feature branches for development is a good practice. I think this approach would give the company the flexibility they need while still maintaining control over the code.
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Kassandra
8 months ago
I'm a bit confused by the question. It's not clear to me why we can't just use the existing S3 buckets for both production and testing. Option B seems like it could work, but I'm not sure about the details of using an AWS Lambda function to promote code changes. I'll need to think this through a bit more.
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Tammara
8 months ago
This seems like a straightforward question about setting up a version control and deployment system for the company. I think option A is the most efficient approach, as it uses AWS CodeCommit to manage the code repositories and allows for separate production and testing branches.
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Christiane
10 months ago
Option B with the Lambda function to promote code changes sounds interesting, but I'm not sure it's the most efficient solution here. I'd probably go with A or C.
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Boris
10 months ago
Ha! Can you imagine the nightmare of trying to manage code versioning and branching directly in S3 buckets? Option D is a hard pass for me.
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Lou
8 months ago
C: It's important to have different deployment pipelines for each environment to avoid issues.
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Ben
8 months ago
B: I agree, using separate branches for testing and production code makes sense.
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Josue
9 months ago
A: Option A sounds like the best way to manage code conflicts and deployments.
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Gertude
10 months ago
Yeah, having feature branches can help prevent conflicts and make merging easier.
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Pamella
10 months ago
Hmm, Option D seems a bit complicated with the branching on S3 buckets. I'd prefer a more straightforward solution like Option A or C.
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Rosio
9 months ago
Yeah, Option C also seems like a viable option. Different deployment pipelines for each environment could make the process smoother.
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Valentin
10 months ago
I agree, Option A seems like a straightforward approach. It would help prevent code conflicts and lost work.
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Cordell
10 months ago
Option A sounds like a good choice. Using feature branches for new features and pull requests for merging code seems efficient.
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Tijuana
10 months ago
Option A seems more organized with feature branches for new features.
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Aliza
10 months ago
But what about option C? It also suggests using separate branches for production and testing.
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Gertude
10 months ago
I agree, using separate branches for production and testing code makes sense.
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Tijuana
11 months ago
I think the most efficient way is option A.
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Annamae
11 months ago
I think Option C is the way to go. Having separate deployment pipelines for production and testing is a smart approach.
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Jani
11 months ago
Option A sounds like the most efficient way to handle this. Using CodeCommit with separate branches for production and testing makes the most sense.
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Myra
10 months ago
I agree, having separate branches for testing and production code will definitely help in managing code conflicts and deploying changes smoothly.
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Phil
10 months ago
Option A sounds like the most efficient way to handle this. Using CodeCommit with separate branches for production and testing makes the most sense.
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