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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

You are setting up a CI/CD pipeline for a new Claude application. The pipeline needs to run automated checks on every pull request before code can be merged.
The CI/CD checks would include...

A. Automated linting and security scanning, with Claude integration testing handled manually during pre- release verification by a designated reviewer.
B. Automated tests of the Claude integration, linting, and any other standard quality gates the team applies to its other services.
C. A full end-to-end production deployment on every pull request to catch all possible issues before any code is merged into the main branch.
D. Automated tests of the Claude integration only, with linting handled separately during local development on each developer's machine.

Question 2

Your Claude application's error handling currently logs every API error with the same severity level. The team wants to differentiate between errors that should page an on-call engineer and errors that should be logged for later review. How would you structure the error handling?

A. Categorize errors by severity based on impact and recoverability, then route each category to the appropriate channel for paging or logging.
B. Log every error with the same severity, on the grounds that differentiating severity adds complexity that does not pay off in most application setups over time.
C. Disable logging for any error that does not page, treating non-paging errors as not worth recording for later review either.
D. Page on every error, on the grounds that paging guarantees that no error is missed by the team during normal operation across the application's lifecycle.

Question 3

You are designing a Claude application that helps medical researchers analyze multi-step clinical case studies.
The application must work through differential diagnoses by considering symptom patterns, weighing evidence across competing hypotheses, and showing intermediate reasoning steps before producing a final recommendation. The team is choosing among Claude's available model options.
The model option best suited to this use case is...

A. Fast mode, which prioritizes the lowest possible latency at the expense of reasoning depth on complex tasks.
B. A smaller model with a tighter context window, which encourages the model to focus its limited capacity on the task.
C. Extended thinking, which lets the model reason through the differential diagnosis steps before producing the final recommendation.
D. Zero-shot prompting alone with no model option adjustments, which keeps the application's configuration as simple as possible.

Question 4

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

Question 5

You have just shipped a new Claude-powered application to production. The development phase is complete, and the system is now in active use by internal teams.
The next phase of work for this system is...

A. Retiring the system, since shipping is the final lifecycle stage for any application that reaches production.
B. Handing the system over to a separate operations team that will manage it independently of the development team going forward.
C. Operating and maintaining the system, including monitoring, responding to issues, and planning evolution.
D. Running a formal post-deployment review that assesses the development phase before the team does any further work on the system.

Solutions: