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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:

1. A pull request modifies 14 files across a stock tracking module. When analyzing all files in a single pass, Claude provides superficial comments, misses obvious bugs, and produces contradictory feedback. How should you redesign the multi-pass review architecture to resolve this?

A) Require developers to manually split large PRs into smaller submissions of 3-4 files before triggering the automated review.
B) Switch to a higher-tier model with a larger context window so all 14 files receive adequate attention in one pass.
C) Split the review into focused passes: analyze each file individually for local issues, followed by a separate integration-focused pass for cross-file data flow.
D) Run three independent single-pass reviews on the full PR and only flag issues that achieve consensus across at least two runs.

2. Your team wants to use the Message Batches API to reduce costs by 50%. The pipeline includes a real-time blocking pre-merge code review and a nightly technical debt audit. How should you apply the Batch API?

A) Use the Batch API for both workflows to maximize cost savings.
B) Use the Batch API strictly for the nightly audit, and retain synchronous calls for the blocking pre-merge review.
C) Switch both to the Batch API but implement a timeout fallback to synchronous calls if it exceeds 5 minutes.
D) Use synchronous API calls for both workflows since the Batch API lacks JSON schema support.

3. In an automated CI/CD code review workflow, why is it considered an architectural anti-pattern to have the same Claude session that generated the code also review its own changes?

A) The Message Batches API does not support synchronous self-review workflows.
B) Tools invoked in the first pass are permanently locked and cannot be reused in the second pass.
C) The reviewer retains the reasoning context from the generation phase, creating confirmation bias.
D) It causes the token limit of the context window to exceed maximum capacity.

4. A developer at builds an MCP server to standardize repetitive actions for the engineering team. They want to provide ready-to-use message sequences with specific formatting instructions that bypass the need for users to write them from scratch. Which MCP component fulfills this requirement?

A) MCP Subagents
B) MCP Resources
C) MCP Prompts
D) MCP Tools

5. Under which condition is a validation-retry loop fundamentally ineffective for improving data extraction quality?

A) When there is a structural output error in the response.
B) When the required information is entirely absent from the provided source document.
C) When the model outputs a format mismatch.
D) When the line items fail to sum to the stated total.

Solutions: