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

1. To reduce false positives and improve developer trust in automated CI/CD code reviews, which prompt engineering techniques should be applied? Choose 2 correct answers.

A) Provide specific severity criteria with concrete code examples for each level to achieve consistent classification.
B) Define explicit, measurable review criteria (e.g., 'flag functions exceeding 50 lines').
C) Filter findings based strictly on the model's self-reported confidence score.
D) Instruct the model to 'be thorough and flag anything suspicious'.

2. During a long-running customer support session, the agent repeatedly summarizes the conversation history to save context space. By turn 10, the agent forgets the customer's specific account number and the exact promotional price they were quoted. How should you redesign the context management to prevent this?

A) Extract transactional facts into an immutable 'case facts' block positioned at the start of the context that is never summarized.
B) Store the conversation in an external database and run a lexical search query on every turn.
C) Restart the session from scratch after 5 turns and ask the customer to repeat their details.
D) Increase the frequency of progressive summarization to occur every 2 turns instead of 5.

3. A developer at quicktechie.com is building a highly experimental MCP server testing a new vector database. They want to use it locally in Claude Code without exposing the configuration to the rest of the team. Which configuration file should they use?

A) .mcp.json at the project root
B) .claude/rules/mcp.md
C) mcp_local.config
D) ~/.claude.json

4. During data extraction, a semantic validation check fails because the extracted line items do not sum to the total invoice amount. What is the recommended best practice for implementing the validation-retry loop?

A) Append specific validation error details to the prompt, stating which field failed and the nature of the discrepancy.
B) Send a generic retry message such as 'There were errors in your extraction. Please try again.' to reset the model's reasoning.
C) Rely entirely on the model's self-reported confidence scores to automatically adjust the extraction.
D) Increase the max_tokens limit on the retry request to give the model more space to self-correct.

5. You want to ensure specific testing conventions are automatically applied whenever Claude generates or edits a test file (e.g., *. test. tsx). These test files are spread across dozens of different subdirectories. What is the most maintainable configuration approach?

A) Place a separate CLAUDE .md file in every single subdirectory that contains test files.
B) Create a rule file in . claude/rules/ with YAML frontmatter specifying paths: test .tsx"].
C) Create a custom slash command that manually injects testing rules when invoked during a session.
D) Consolidate all testing conventions in the root CLAUDE. md file under a general testing header and rely on semantic inference.

Solutions: