Anthropic CCDV-F Q&A - in .pdf

  • Exam Code: CCDV-F
  • Exam Name: Claude Certified Developer-Foundations
  • Updated: Aug 30, 2026
  • Q & A: 97 Questions and Answers
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Anthropic CCDV-F Q&A - Testing Engine

  • Exam Code: CCDV-F
  • Exam Name: Claude Certified Developer-Foundations
  • Updated: Aug 30, 2026
  • Q & A: 97 Questions and Answers
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Anthropic CCDV-F Exam Syllabus Topics:

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

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

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. 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.
B. Categorize errors by severity based on impact and recoverability, then route each category to the appropriate channel for paging or logging.
C. Disable logging for any error that does not page, treating non-paging errors as not worth recording for later review either.
D. 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.


Question 2

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 tests of the Claude integration, linting, and any other standard quality gates the team applies to its other services.
B. Automated linting and security scanning, with Claude integration testing handled manually during pre- release verification by a designated reviewer.
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 3

Your Claude application returns confident-sounding answers, but occasionally those answers contain factual errors that downstream systems treat as ground truth. The team is concerned about the application's confidence-versus-accuracy gap.
How would you address the gap?

A. Apply skepticism toward confident output by adding validation steps, sourcing requirements, or confidence calibration before treating outputs as ground truth.
B. Add a disclaimer to every output telling users to verify the accuracy of the output and treat the disclaimer as the primary mechanism for managing the confidence-versus-accuracy gap.
C. Reject every response the application produces until a manual accuracy review is conducted on each response by a human reviewer before any downstream system uses it.
D. Lower the model's temperature so the model's responses sound less confident and downstream systems are less likely to treat the responses as ground truth in normal operation.


Question 4

Your team is integrating Claude into an existing REST API service. The service handles concurrent requests, and you are deciding how to structure the Claude API calls within the existing async codebase.
How would you structure the Claude calls?

A. Replace the existing async REST service with a synchronous service to match the call style of synchronous Claude SDK clients.
B. Run Claude API calls in a separate thread pool isolated from the rest of the service so the main event loop is not affected.
C. Use the Claude SDK's async client and structure Claude calls as awaitable operations alongside the rest of the service's async code.
D. Make synchronous Claude API calls and block the async event loop until each call completes before processing the next request.


Question 5

You are setting up a Claude application that requires API keys for several external services.
What is the best way to store the keys?

A. Use a single shared key across all external services, so any developer working on the application can find the keys easily during development.
B. Email the keys to each developer as needed and have each developer paste the keys into their local environment when they begin working on the application's code.
C. Store the keys in a secrets manager or environment-specific configuration that is not checked into source code, and load them at runtime.
D. Put the keys in the application's configuration file and check the configuration file into the team's repository alongside the rest of the source code.


Solutions:

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

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