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Anthropic CCDV-F Exam Syllabus Topics:

Anthropic Claude Certified Developer-Foundations Sample Questions:

Question 1

You are designing a Claude application that processes user-submitted text. Some of that text could include sensitive information such as account numbers or passwords that the application should not send to Claude.
How would you design the application?

A. Log all user-submitted text before it is sent to Claude and review the logs periodically to identify whether sensitive information is reaching the model.
B. Apply filtering at the boundary for the most commonly observed sensitive data patterns and expand coverage to additional patterns based on findings from production monitoring.
C. Define the application boundary explicitly, identify what content can leave the boundary for Claude, and add filtering or redaction at the boundary.
D. Add a prompt instruction in the system prompt specifying the categories of sensitive information Claude should disregard when processing user-submitted text.

Question 2

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. Test whether removing or adjusting those instructions resolves the behavior.
B. Identify which questions have been refused and compare them against previously answered questions to determine what changed between the successful and refused interactions.
C. Examine traces of the refused requests to identify what triggers the refusal, whether input patterns, system prompt content, or other context.
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.

Question 3

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. Rotate the same key across environments at random intervals on the grounds that random rotation provides isolation between environments without requiring distinct keys.
B. 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.
C. 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.
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 4

The Anthropic API deprecated a request parameter that your Claude application uses in approximately 40 places across the codebase. The deprecation notice gives a six-month window before the parameter is removed and recommends a replacement parameter with slightly different semantics.
You would respond to the deprecation by...

A. Keeping the deprecated parameter in place while writing a wrapper function around it to insulate the rest of the codebase from the eventual change.
B. Adding regression tests to cover the parameter's behavior, then migrating call sites in batches that you validate against regression tests.
C. Migrating all 40 call sites in a single change near the removal date to ensure the deprecated parameter continues to work as long as possible.
D. Swapping all 40 call sites in a single change right away to prevent drawn-out migration work that will delay ongoing functioning.

Question 5

You are designing a Claude application that will require structured JSON output for downstream processing.
The output schema is well-defined, and downstream systems will reject malformed JSON.

A. Define a clear schema, structure the prompt to request output in that schema, and validate Claude's output against the schema before passing it downstream.
B. Avoid structured output and use free-form text everywhere instead, on the grounds that free-form text is more flexible and handles edge cases better than structured schemas.
C. Structure the prompt to request output in a schema that is described in plain English, with downstream systems parsing whatever shape Claude produces.
D. Define a clear schema and structure the prompt to request output in that schema, with downstream systems handling any validation needed.

Solutions: