Anthropic CCA-F real exam prep : Claude Certified Architect Foundations (CCA-F)

The coordinator provides detailed step-by-step instructions to the web search subagent, specifying exact search queries, source priorities, and date filters. Production monitoring reveals three issues: (1) the subagent reports "insufficient results" rather than trying alternative approaches when pre-specified searches fail, (2) research quality drops for emerging topics that don't match expected patterns, and (3) the subagent rarely surfaces valuable tangential sources.
What's the most effective way to improve subagent adaptability?

• A. Specify research goals and quality criteria (coverage breadth, source diversity, recency) rather than procedural steps, letting the subagent determine its search strategy.
• B. Implement a topic classification step where the coordinator categorizes requests as "well-defined" or "exploratory" and uses different instruction styles for each category.
• C. Add explicit fallback directives to the detailed instructions: "If specified searches yield fewer than N results, attempt alternative query formulations before reporting failure."
• D. Remove procedural details entirely, delegating with simple goals like "research X thoroughly" and relying on the subagent's general capabilities.

Your update_user_profile tool accepts a user_id (required) and an optional fields_to_update object. In testing, Claude frequently omits user_id or passes incorrectly structured data. What is most critical for helping Claude understand what parameter values to provide?

• A. Clear parameter descriptions explaining expected format, such as "user_id: UUID of the user to update (required)"
• B. Verbose parameter names encoding format hints, such as user_id_string_uuid_format
• C. Strict JSON Schema type constraints marking user_id as required and defining fields_to_update as an object type
• D. Detailed error responses explaining why invalid parameter values were rejected

An engineering team notices that Claude occasionally provides answers beyond the company's internal policy documents. They want responses to rely only on approved documentation whenever possible. Which solution is MOST appropriate?

• A. Use Retrieval-Augmented Generation (RAG)
• B. Disable system prompts
• C. Increase temperature to 1.0
• D. Shorten every prompt

A developer wants Claude to explain every reasoning step internally before answering. Why might this request be inappropriate?

• A. Temperature prevents explanations.
• B. Internal reasoning should not be relied upon as an application feature.
• C. JSON cannot contain reasoning.
• D. Claude requires GPU acceleration.

You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
An engineer sees an unfamiliar error message "SYNC_CONFLICT: entity version mismatch detected" in production logs but doesn't know which of the 12 services in the codebase generates it. They ask the agent to help locate the source code. What exploration approach will most efficiently find the responsible code?

• A. Use Grep to find all files that import the project's error handling module, then Read those files to locate custom error definitions.
• B. Use Grep to search for distinctive text from the error message (like "SYNC_CONFLICT" or "entity version mismatch"), then Read the matching files to understand context.
• C. Read the project's README and service configuration files to understand the architecture, then systematically Read source files in each service directory.
• D. Use Glob to find files in directories commonly associated with error handling (such as errors/, exceptions/,or handlers/) across all services, then Read each matching file.