CCDV-F exam dumps

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  • Exam Code: CCDV-F
  • Exam Name: Claude Certified Developer-Foundations
  • No. of Questions: 97 Questions and Answers
  • Updated: Sep 12, 2026

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Anthropic CCDV-F Exam Syllabus Topics:

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

Anthropic Claude Certified Developer-Foundations Sample Questions:

Your team uses several plugins across multiple Claude applications, and a recent plugin update introduced a regression. The team had not been tracking plugin versions, so the team cannot easily identify which version was previously working. How would you address this?

  • A. Stop using all plugins until the team can rebuild equivalent functionality directly into the application code, treating plugin avoidance as a way to remove version-related risk.
  • B. Treat plugins as untrackable third-party code and rely on plugin authors to communicate breaking changes when they happen, with no internal version tracking.
  • C. Add explicit plugin version tracking to the project's configuration so the team can identify, pin, and upgrade plugin versions deliberately.
  • D. Upgrade every plugin to the latest version on a regular cadence to keep version drift small, on the grounds that drift contributes to regression risk.
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Correct Answer: C  🗳️

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Your team is preparing to roll out a configuration change that updates several prompt versions across a Claude application used by multiple downstream systems. The change has already been tested in staging, but the team has not assessed how the prompt change will affect each downstream system that depends on the application's output.
What would you do before rolling out the change?

  • A. Notify downstream system owners that a change is coming and schedule the rollout for the following week, without conducting a formal impact assessment.
  • B. Limit the rollout to systems that were explicitly included in staging testing, and defer all other downstream systems until a later release cycle.
  • C. Assess the configuration impact on each downstream system before rolling out, and coordinate with downstream system owners as needed.
  • D. Document the prompt version changes in the application changelog and proceed with the rollout, treating the staging test results as sufficient evidence of impact across all downstream systems.
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Correct Answer: C  🗳️

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A teammate has asked you to explain why the team's Claude application is billed for output tokens at a different rate than input tokens. They had assumed the rate was the same for both.
How would you explain the difference?

  • A. Output tokens are typically billed at a lower rate than input tokens, because output tokens are cheaper to produce than input tokens are to process.
  • B. Output tokens are not billed at all, because cost is determined entirely by the input tokens sent to the model on each request.
  • C. Output tokens are typically billed at a higher rate than input tokens, and cost models for the application should reflect both rates separately.
  • D. Output tokens are typically billed at the same rate as input tokens, and the apparent rate difference is a billing error to report to Anthropic.
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Correct Answer: C  🗳️

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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 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.
  • C. 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.
  • D. 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.
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Correct Answer: B  🗳️

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You are configuring Claude Code for a new project. The team needs to set permissions, default model selections, and environment-specific behavior at the project level so the configuration is consistent across all developers working on the repository.
The Claude Code mechanism you would use is...

  • A. A shared spreadsheet that lists configuration values for team members to reference and update by hand as the project evolves.
  • B. A system prompt embedded in every Claude Code conversation by each developer at the start of every session in the project.
  • C. Environment variables that each developer sets on their own machine when working with Claude Code on the project.
  • D. The settings.json file, scoped at the project level so the configuration applies consistently across developers and persists with the repository.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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