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

1. An agent queries an external API that returns 40+ fields of metadata per document, but the agent only needs the status and creation_date. How should this be handled to manage the context window effectively?

A) Use the /clear command immediately after the tool call returns.
B) Place the raw tool output at the very end of the prompt to leverage the recency effect.
C) Apply prompt chaining to summarize the JSON object into natural language.
D) Trim the verbose tool outputs to only the relevant fields before they accumulate in the conversation context.

2. How should a quicktechie.com application handle verbose tool outputs (e.g., an order lookup returning 40+ fields when only 3 are relevant) to optimize the context window?

A) Trim the tool outputs programmatically to include only the return-relevant fields before they accumulate in the context history.
B) Pass the full output and rely on the model's semantic focus to ignore irrelevant fields.
C) Require the agent to run a web search to summarize the JSON object.
D) Use a PreToolUse hook to block the API response.

3. What is the primary architectural difference between handling a transient error and handling a valid empty result within an MCP tool's response payload?

A) Transient errors must bypass the MCP client and communicate directly via WebSockets, whereas empty results use standard HTTP.
B) Transient errors use isError: true with a specific errorCategory, while empty results use isError: false and return an empty data array.
C) Transient errors require the agent to spawn a subagent for resolution, whereas empty results are handled in the main thread.
D) There is no difference; both scenarios should return a generic HTTP 404 response.

4. An automated code review pipeline is configured to analyze pull requests modifying dozens of files. To avoid attention dilution and contradictory findings, what is the recommended task decomposition strategy?

A) Execute three independent review passes on the entire pull request and only flag issues that appear in at least two runs.
B) Analyze all files simultaneously using a model with a maximum context window to ensure complete cross-file visibility.
C) Instruct the model to perform a single-pass review but explicitly prioritize security vulnerabilities over style inconsistencies.
D) Split the review into focused per-file local analysis passes, followed by a separate integration-focused pass examining cross-file data flow.

5. In an automated CI/CD code review workflow at quicktechie.com, why is it considered a major architectural anti-pattern to have the same Claude session that generated the code also perform the self-evaluation review?

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

Solutions: