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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:

Question #1
An application frequently repeats the same background instructions in every API request. What is a potential downside?

A. Higher token usage and cost.
B. Reduced model capability.
C. Lower reliability.
D. Increased hallucinations only.

Question #2
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.
A developer asks the agent to investigate why a specific API endpoint intermittently returns 500 errors. The codebase has 200+ files and the developer doesn't know which components are involved. The agent must trace the error through routing, middleware, business logic, and database layers. What task decomposition approach would be most effective?

A. Have the agent first create a comprehensive plan mapping all code paths through the endpoint before beginning any file exploration or code reading.
B. Have the agent dynamically generate investigation subtasks based on what it discovers at each step, adapting its exploration plan as new information about the error path emerges.
C. Define a fixed sequence of investigation steps upfront - grep for error patterns, then read error handlers, then check database queries, then examine middleware - executing each step regardless of intermediate findings.
D. Run parallel worker agents that simultaneously investigate all four layers, then synthesize their findings to identify where the error originates.

Question #3
A customer contacts the agent about a warranty claim on a power drill. Resolving this requires multiple sequential tool calls: get_customer to look up their account, lookup_order to find the purchase details, and then either process_refund or escalate_to_human depending on warranty eligibility. You're implementing the agentic loop that orchestrates these steps using the Claude API. What is the primary mechanism your application uses to determine whether to continue the loop or stop?

A. You check the stop_reason field in each API response - the loop continues while it equals
"tool_use" and exits when it changes to "end_turn" or another terminal value.
B. You manually set the tool_choice parameter to "none" after the final expected tool call to force Claude to stop requesting tools.
C. You track the number of tool calls made and exit the loop once a preconfigured maximum is reached.
D. You check whether Claude's response contains a text content block - if text is present, the agent has produced its final answer and the loop should exit.

Question #4
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs. direct execution.
You need to add a date validation check ensuring event dates are in the future. This requires adding a conditional statement to one existing function in a single file. What is the most appropriate approach?

A. Enter plan mode to analyze how the validation might impact other parts of the reservation flow.
B. Enter plan mode first to create a detailed implementation strategy before making the change.
C. Start with extended thinking mode enabled to ensure thorough reasoning about the validation logic.
D. Use direct execution to make the change.

Question #5
When implementing your lookup_order MCP tool, the backend sometimes returns errors (e.g.,
"Order not found" or temporary database failures). What is the correct pattern for communicating these errors back to the agent?

A. Return the error message in the tool result content with the isError flag set to true
B. Throw an exception from the tool handler so the agent framework can catch and log it
C. Log the error server-side and return an empty result to avoid confusing the model
D. Return a success response with a "status" field indicating the error type

Solutions: