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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

A Claude application is occasionally refusing to answer questions that should be in scope, including questions the application has answered correctly in the past. You want to investigate.
What is the first step of your investigation?

A. Test whether removing or adjusting those instructions resolves the behavior.
B. Assess whether the refusals cluster around specific input patterns, question types, or time periods by analyzing the distribution of refused requests in the logs.
C. Examine traces of the refused requests to identify what triggers the refusal, whether input patterns, system prompt content, or other context.
D. Identify which questions have been refused and compare them against previously answered questions to determine what changed between the successful and refused interactions.

Question 2

A teammate has asked how the Claude SDK handles transient API errors, such as a temporary network issue or a brief rate-limit response. They want to know whether the application code needs to handle every transient error or whether the SDK provides any default behavior.
How would you describe the SDK's default behavior?

A. The SDK provides default retry behavior for network errors but surfaces rate-limit responses directly to the application code, which must implement its own retry logic for those cases.
B. The SDK logs transient errors to a default error stream and continues execution without retrying, leaving the application code responsible for detecting and responding to failed calls.
C. The SDK provides default retry behavior for many transient errors, and the application code can configure or extend that behavior as needed.
D. The SDK provides default retry behavior for transient errors up to a fixed number of attempts, and this behavior is not configurable.

Question 3

Your Claude application validates structured output but has been treating validation failures as terminal errors. Each validation failure causes the entire user request to fail. The team wants to handle validation failures more gracefully.
How would you handle the validation failures?

A. Tell users that validation failures are unavoidable and instruct them to perform manual accuracy checks before relying on outputs.
B. Pass validation failures directly to downstream systems and let each downstream system decide how to handle the malformed output.
C. Treat validation failures as a recognized error path that triggers retry, repair, or fallback logic before failing the user request.
D. Disable output validation until the underlying cause of validation failures has been identified and addressed in a future release.

Question 4

Your team is debating how to manage the prompts used in your Claude application. Some prompts are checked into the code repository, some live in a separate configuration file, and some are constructed inline at runtime. The result is inconsistent, and a recent prompt change went out without code review.
What steps would you take?

A. Move all prompts out of version control to a separate spreadsheet that team members can edit freely as the application evolves over time.
B. Establish a single source of truth for prompts but keep change review optional, allowing developers to update prompts directly when changes are urgent.
C. Move all prompts to inline runtime construction so the team can update them quickly through a streamlined process outside the standard code review workflow.
D. Establish a single source of truth for prompts, version-control them alongside code, and require code review for prompt changes.

Question 5

Your Claude application is deployed to development, staging, and production environments. Each environment uses a different model version, different prompt versions, and different plugin dependencies, but the configuration is currently scattered across environment variables, hardcoded values, and undocumented setup scripts.
How would you manage the configuration?

A. Standardize all environments to use the same configuration values to eliminate the differences between development, staging, and production.
B. Use the latest available model version everywhere and stop pinning model versions, on the grounds that pinning adds maintenance overhead the team should aim to reduce.
C. Move all configuration into hardcoded application code to reduce reliance on external configuration sources that are difficult to track over time.
D. Consolidate the configuration into a version-controlled system documenting model version pinning, prompt versioning, and plugin dependencies for each environment.

Solutions: