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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

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.

Question 2

Your Claude application's content policy specifies categories of content it should not produce under any circumstance. The application currently has no mechanism to enforce this policy, and content matching these categories is appearing in the application's output.
How would you enforce the content policy?

A. Add deterministic output filtering that checks responses against the content policy before they reach users.
B. Move enforcement to users by asking them to report content policy violations after the violating content has already reached them in the application's responses.
C. Remove the content policy entirely and let any output reach users during normal operation, accepting whatever content the application produces in response to incoming traffic.
D. Enhance the system prompt to contain explicit instructions for the categories to avoid, complete with examples of each category. Treat the strengthened prompt as the primary enforcement mechanism for the application's content policy across all responses.

Question 3

The product team has described a new Claude feature in business terms: "agents should help our analysts produce client memos faster." You need to convert this into actionable technical requirements for the engineering team.
Your first step would be to...

A. Assess what similar agent-based features have been built internally or in the industry and use those precedents to scope the technical approach.
B. Interpret the functional and infrastructure requirements implied by the business goal.
C. Examine what model capabilities and tier options are available and determine which best supports the memo drafting workflow described by the product team.
D. Ask the analysts about the current memo production process to see where they think Claude could be introduced as a prompt-driven drafting step.

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 designing a multi-step Claude workflow where some steps must reason without seeing the full prior conversation history. The team wants to keep specific context isolated to specific steps.
The context engineering technique you would use is...

A. Context isolation through subagents or multi-step agentic workflows that scope each step's context to only what the step needs.
B. Using a single global prompt that applies to every step in the workflow no matter what each step is reasoning about during its run.
C. Embedding the full prior history in each step regardless of whether the step needs the prior history for its reasoning.
D. Augmenting the context with all available content at every step so each step has access to the entire prior history of the workflow during its reasoning.

Solutions: