Anthropic CCDV-F exam - in .pdf

CCDV-F pdf
  • Exam Code: CCDV-F
  • Exam Name: Claude Certified Developer-Foundations
  • Updated: Aug 30, 2026
  • Q & A: 97 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: CCDV-F
  • Exam Name: Claude Certified Developer-Foundations
  • Updated: Aug 30, 2026
  • Q & A: 97 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Anthropic CCDV-F exam - Testing Engine

CCDV-F Testing Engine
  • Exam Code: CCDV-F
  • Exam Name: Claude Certified Developer-Foundations
  • Updated: Aug 30, 2026
  • Q & A: 97 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Anthropic CCDV-F Exam Syllabus Topics:

SectionWeightObjectives
Claude Code3.1%- Claude Code Configuration and Usage
  • 1. Use CLAUDE.md and project configuration
    • 2. Use Skills, plugins, and Claude Code capabilities effectively
      • 3. Configure settings and development environments
        Tools and MCPs10.6%- Tool Development and Integration
        • 1. Handle tool schemas, invocation, and tool-use results
          • 2. Design and implement custom tools for Claude applications and agents
            - Model Context Protocol
            • 1. Build and integrate MCP servers
              • 2. Apply MCP concepts and patterns for connecting models to external capabilities
                Eval, Testing, and Debugging2.6%- Evaluation
                • 1. Interpret evaluation results and improve application quality
                  • 2. Design and run evaluations for Claude-powered applications
                    - Testing and Debugging
                    • 1. Diagnose and debug application, agent, and integration issues
                      • 2. Test Claude integrations and agentic systems
                        Applications and Integration33.1%- Application Development and Integration
                        • 1. Integrate Claude capabilities into existing software systems and workflows
                          • 2. Build and ship production-grade Claude-powered applications
                            • 3. Handle multimodal and structured application inputs and outputs
                              - Claude API and Client SDKs
                              • 1. Construct and process API requests and responses
                                • 2. Implement streaming and handle API errors
                                  • 3. Integrate applications with the Claude API and supported client SDKs
                                    Security and Safety8.1%- Safety and Guardrails
                                    • 1. Use hooks and other mechanisms to enforce application controls
                                      • 2. Implement safety controls and guardrails
                                        - Secure Application Design
                                        • 1. Apply secure-by-design practices to Claude-powered applications
                                          • 2. Protect sensitive data and manage access appropriately
                                            Agents and Workflows14.7%- Claude Agent SDK and Agent Loops
                                            • 1. Build and configure agents using the Claude Agent SDK
                                              • 2. Implement and manage custom agent loops
                                                - Subagents and Agentic Frameworks
                                                • 1. Use subagents and coordinate multi-agent workflows
                                                  • 2. Apply appropriate agentic frameworks and orchestration patterns
                                                    - Agent Architecture and Tradeoffs
                                                    • 1. Evaluate tradeoffs between agentic approaches and traditional workflows
                                                      • 2. Select appropriate agent architectures and patterns
                                                        Model Selection and Optimization16.8%- Model Selection
                                                        • 1. Select appropriate Claude models for task requirements
                                                          • 2. Evaluate quality, latency, capability, and cost tradeoffs
                                                            - Performance and Cost Optimization
                                                            • 1. Apply prompt caching and other cost optimization techniques
                                                              • 2. Use batching and other approaches to improve efficiency
                                                                Prompt and Context Engineering11%- Prompt Engineering
                                                                • 1. Apply prompting techniques to improve reliability and output quality
                                                                  • 2. Design prompts appropriate to application requirements
                                                                    - Context Engineering
                                                                    • 1. Apply context management strategies for agents and long-running workflows
                                                                      • 2. Manage context windows and application context

                                                                        Anthropic Claude Certified Developer-Foundations Sample Questions:

                                                                        Question 1

                                                                        Your Claude application produces good responses for typical inputs but struggles with edge cases. You have several labeled examples of edge-case inputs and the desired response for each. You want to use these examples to improve the model's handling of edge cases.
                                                                        What is the best way to use these examples?

                                                                        A. Add the labeled edge-case examples to the prompt as few-shot examples so the model can learn the pattern.
                                                                        B. Embed the examples in a database for the model to find during inference.
                                                                        C. Train a custom model on the edge-case examples and deploy that custom model in place of the team's current Claude integration.
                                                                        D. Tell users to avoid submitting the edge-case inputs to the application by adding warnings in the application's user interface.


                                                                        Question 2

                                                                        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 higher rate than input tokens, and cost models for the application should reflect both rates separately.
                                                                        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 lower rate than input tokens, because output tokens are cheaper to produce than input tokens are to process.
                                                                        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.


                                                                        Question 3

                                                                        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 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.
                                                                        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 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.


                                                                        Question 4

                                                                        Your Claude agent has access to a tool that retrieves customer records. A teammate has noticed that the agent occasionally calls the tool with arguments the schema does not declare, and the tool's downstream service returns an error each time. The teammate proposes loosening the schema so the tool accepts whatever arguments the model produces.
                                                                        How would you respond?

                                                                        A. Loosen the schema as the teammate proposed so the downstream service receives every call the agent makes during normal operation.
                                                                        B. Remove the schema entirely and rely on the downstream service to reject invalid calls, treating the downstream service as the team's primary enforcement layer.
                                                                        C. Keep the schema strict, validate arguments before dispatching, and return a structured error so the agent can retry.
                                                                        D. Add a system prompt instruction telling the model to produce schema-conforming arguments, treating the prompt instruction as the primary mechanism for keeping the agent's tool calls valid.


                                                                        Question 5

                                                                        You are building a Claude application that needs to maintain a persistent connection to a service that streams real-time updates. The team is unsure what communication pattern to use.
                                                                        Which communication pattern would you use?

                                                                        A. Repeated short-lived HTTP polling requests, where the application opens a new HTTP connection each time it checks for updates.
                                                                        B. File-based communication where the service writes new updates to disk and the application polls the file system for changes.
                                                                        C. A WebSocket, because WebSockets are designed for bidirectional, persistent, real-time communication between the client and the streaming service.
                                                                        D. A single long HTTP request the server holds open indefinitely, with no standard WebSocket framing on the connection.


                                                                        Solutions:

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

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