Anthropic CCDV-F Exam : Claude Certified Developer-Foundations

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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

You are building an agent that needs to call several internal APIs and a database in a structured, repeatable way. Your team has decided to use the Claude Agent SDK rather than build a custom loop. You are setting up the agent's tool definitions and execution loop.
How would you set up the tools and execution loop?

A. Use the SDK's tool interface and let the SDK handle the loop, dispatch, and history.
B. Call the Messages API directly and let the model format its tool calls in plain text.
C. Use the SDK's tool interface and write the loop and history layer in the team's own code.
D. Use the SDK's tool interface and loop, with conversation history stored in a separate team database.

Question 2

A new agent your team built handles customer support tickets, but it routinely gets confused when a single ticket spans billing, shipping, and product issues. The agent often loses track of which sub-issue it has already addressed and revisits the same one. The team is considering architectural changes.
What architectural change would you recommend?

A. Switch to a deterministic workflow that handles billing, shipping, and product issues in a fixed sequence.
B. Add detailed prompting that instructs the agent to track which sub-issues have been resolved and which remain.
C. Introduce an orchestrator agent that delegates billing, shipping, and product sub-issues to dedicated subagents.
D. Increase the size of the agent's context window so it can hold the full ticket history at once.

Question 3

You have just shipped a new Claude-powered application to production. The development phase is complete, and the system is now in active use by internal teams.
The next phase of work for this system is...

A. Retiring the system, since shipping is the final lifecycle stage for any application that reaches production.
B. Operating and maintaining the system, including monitoring, responding to issues, and planning evolution.
C. Handing the system over to a separate operations team that will manage it independently of the development team going forward.
D. Running a formal post-deployment review that assesses the development phase before the team does any further work on the system.

Question 4

Your Claude application's API keys are stored in a secrets manager. The team is debating whether the same key should be used in development, staging, and production environments.
How would you handle the keys across environments?

A. Use distinct keys for each environment so a compromise in one environment does not affect the others during normal operation across the application's lifecycle.
B. Rotate the same key across environments at random intervals on the grounds that random rotation provides isolation between environments without requiring distinct keys.
C. Use the same key across all environments for simplicity and treat the propagation of any compromise as a known operational tradeoff for the team's key management approach.
D. Use a single development key everywhere on the grounds that production keys are too risky to deploy across the application's three environments during normal operation.

Question 5

A team has deployed a multi-agent system in which a primary agent decomposes user requests and delegates subtasks to three specialized subagents: one for data retrieval, one for analysis, and one for report generation.
In production, the team observes that subagents are making redundant tool calls, occasionally exceeding token budgets, and sometimes producing outputs that contradict each other - all of which the primary agent passes along without catching.
What is the most appropriate way to address these failures?

A. Add retry logic to each subagent so that when a tool call fails, the subagent retries automatically before escalating - and configure each subagent to log its tool calls and outputs to a shared trace so the team can audit redundancy and contradictions after the fact.
B. Give each subagent read access to the other subagents' outputs so they can identify and resolve contradictions without routing back through the primary agent.
C. Strengthen the primary agent's management layer to enforce per-subagent tool budgets, validate outputs against a defined schema before passing them forward, and establish explicit handoff contracts between stages.
D. Collapse the three subagents into a single large-context model call that handles retrieval, analysis, and generation in one pass.

Solutions: