CCDV-F by Anthropic Valid Free Exam Practice Test

Question 1

You are integrating Claude into an application written in Python. The Claude SDK provides a Python client that wraps the underlying REST API.
How would you integrate the SDK?

A. Call the REST API directly with raw HTTP requests so the application avoids the SDK's abstraction between the application code and the API. B. Skip the SDK and embed Claude calls in shell commands invoked from Python, so that the application runs the calls outside the main Python process. C. Use the Claude Python SDK and let it handle authentication, retries, and response parsing through its standard documented patterns for Python integrations. D. Use a different LLM provider's SDK and translate the responses into Claude's API shape so the application can switch providers in the future.

Correct Answer: C

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Question 2

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

Correct Answer: C

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Question 3

A Claude application is occasionally refusing to answer questions that should be in scope, including questions the application has answered correctly in the past. You want to investigate.
What is the first step of your investigation?

A. Identify which questions have been refused and compare them against previously answered questions to determine what changed between the successful and refused interactions. B. Examine traces of the refused requests to identify what triggers the refusal, whether input patterns, system prompt content, or other context. C. Test whether removing or adjusting those instructions resolves the behavior. D. Assess whether the refusals cluster around specific input patterns, question types, or time periods by analyzing the distribution of refused requests in the logs.

Correct Answer: B

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Question 4

Your Claude application's token costs have grown faster than expected. The team has not been tracking token usage by feature, so the team cannot identify which features are driving cost. The team is debating how to respond.
How would you respond?

A. Tell the team that cost growth is unavoidable as the application scales and that no investigation will change the trajectory of the application's cost over the next several quarters. B. Switch every feature to the smallest model to cut cost broadly across the application during normal operation. C. Reduce token usage uniformly across all features by half, applying the cut evenly across the application during normal operation. D. Add token usage tracking by feature to the application's logging so the team can identify which features drive cost before recommending changes.

Correct Answer: D

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Question 5

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

Correct Answer: A

Question 6

You are building a Claude application that processes 10,000 customer emails overnight to extract structured data. The work is non-interactive, runs once daily, and has a flexible completion window of several hours.
Which Claude API would you use?

A. The Batch API, which is designed for non-interactive workloads with flexible completion windows. B. The real-time Messages API, processing the emails one at a time sequentially to ensure consistent ordering of results. C. The real-time Messages API with concurrent requests to process the emails as fast as possible during the overnight window. D. The streaming responses API to process each email and return partial results to a database as the model generates them.

Correct Answer: A

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Question 7

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

Correct Answer: D

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Question 8

You are implementing a custom tool for your Claude agent. The tool needs to interact with an external pricing service that returns product data.
Which of the following best practices would you apply as you develop this tool?

A. Implement the tool with no error handling and let the agent loop catch failures whenever the pricing service returns an error during operation. B. Omit the tool description and let the model infer when to use the tool based on the tool's name and the rest of the prompt context. C. Define the tool with a loose schema and let the model interpret the inputs flexibly on each call the agent makes. D. Define the tool with a clear schema, write a precise description for when to call it, and handle pricing service errors explicitly.

Correct Answer: D

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Question 9

Your Claude application runs long agentic workflows where the agent makes many tool calls, and the conversation history grows quickly. After about 20 tool calls, you notice the agent's responses become less focused and sometimes ignore earlier task constraints.
How would you address this?

A. Restart the agent every five tool calls to prevent any drift, with the agent losing all task state at each restart point during the workflow. B. Remove tool calling from the workflow entirely so the agent operates as a single text-generation step with no tool outputs accumulating in the context window. C. Apply context engineering techniques such as tool output pruning or compaction to keep the active task state visible while reducing the volume of older content. D. Increase the model's context window so the agent can hold every tool output at full detail across the entire workflow no matter how many tool calls it accumulates.

Correct Answer: C

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Question 10

A Claude application that worked well in testing is now occasionally returning outputs that mention information not present in the input. The development team initially assumed the model was hallucinating, so they asked you to troubleshoot.
What would you do first?

A. Replace the current model with a larger one to reduce the chance of hallucination, on the grounds that larger models tend to hallucinate less in typical applications. B. Apply a retrieval-augmented generation pattern to ground the responses in source content before any further investigation of the production traces. C. Examine production traces to identify whether the issue is hallucination by the model, context loss, prompt injection, or another failure mode before recommending a fix. D. Add a system prompt instruction telling the model not to invent information, on the grounds that prompt-level instructions are the fastest fix for hallucination concerns.

Correct Answer: C

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Anthropic Claude Certified Developer-Foundations - CCDV-F Exam Practice Test