Anthropic : CCDV-F Questions & Answers

Last Updated: Sep 02, 2026

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Anthropic CCDV-F Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Applications and Integration33.1%- Streaming and Batch API
- Vision capabilities
- SDK and third-party integration
- Claude Messages API
Topic 2: Prompt and Context Engineering11%- Prompt design and structuring
- Structured output handling
- Context window management
Topic 3: Security and Safety8.1%- Guardrails and safety controls
- AI application security
Topic 4: Agents and Workflows14.7%- Claude Agent SDK usage
- Agent architecture principles
- Workflow vs autonomous agents
- Memory and context management
Topic 5: Evaluation, Testing, and Debugging2.6%- Error handling and debugging
- Output evaluation and validation
Topic 6: Tools and Model Context Protocol (MCP)10.6%- MCP server development
- Tool integration and usage
Topic 7: Claude Code3.1%- Claude Code configuration and usage
Topic 8: Model Selection and Optimization16.8%- Claude model family characteristics
- Cost and token optimization
- Latency and performance trade-offs

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

You are setting up Claude Code for a new project repository. Your team has shared coding standards, preferred libraries, and project-specific context that every developer working on the repository should have available when they use Claude Code.
How would you set this up?

A. Document the standards in a separate wiki page maintained outside the repository so the documentation stays decoupled from the source code.
B. Add the coding standards and project context to the repository's existing README file and direct developers to reference it when starting Claude Code sessions.
C. Initialize Claude Code in the repository and document the standards and project-specific context in a CLAUDE.md file at the repository root.
D. Configure Claude Code through environment variables that each developer sets on their own machine when they begin working in the repository.


Question 2

A teammate has asked you to explain when a Skill would be the right choice over an MCP server. The teammate is unsure how the two differ in practice when both can be reused across teams.
How would you explain the distinction?

A. A Skill is the older mechanism and an MCP server is the newer one, so the team should prefer an MCP server for any reusable capability that the team builds going forward.
B. A Skill is preferable for cross-team reuse because it loads more efficiently than an MCP server during normal operation in the team's typical multi-team workloads.
C. A Skill and an MCP server are equivalent extension mechanisms that the team can use interchangeably for any reusable capability that needs to be accessible across teams.
D. A Skill bundles prompts, scripts, and data into a package the model loads as a unit while an MCP server exposes resources, tools, and prompts through a standard client interface.


Question 3

You are building a Claude application that needs to deliver model output to end users as it is generated, instead of waiting for the full response to complete.
The Claude API mechanism you would use is...

A. The Batch API, which delivers full responses after a delay suitable for non-interactive workloads.
B. Prompt caching, which speeds up the cost profile of future requests and does not affect the delivery timing of the first response.
C. Structured JSON output, which delivers responses only after the model has finalized the JSON shape across the entire response.
D. Streaming responses, which deliver tokens incrementally as the model generates them so users see output progressively.


Question 4

Your team's Claude application has been in production for a year, and the team has decided to formalize its testing strategy. Currently, the team writes ad-hoc tests for individual features but has no overall testing approach.
What testing approach would you formalize?

A. Adopt a test-driven development practice where unit tests are written before each feature is implemented and must pass before code is merged.
B. Define unit tests for individual functions, integration tests for the Claude integration, and end-to-end tests for critical user flows, applied consistently across the codebase.
C. Continue writing ad-hoc tests as features ship and introduce a peer review step to ensure each test adequately covers the feature being released.
D. Define a single testing approach that uses end-to-end tests and apply it consistently across all new features as they are added to the codebase.


Question 5

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


Solutions:

Question 1
Answer: C
Question 2
Answer: D
Question 3
Answer: D
Question 4
Answer: B
Question 5
Answer: A

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