Anthropic Claude Certified Architect Foundations (CCA-F) - CCA-F

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Anthropic CCA-F Exam Syllabus Topics:

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

1. After the web search agent and document analysis agent complete their tasks, the coordinator invokes the synthesis agent. However, the synthesis agent responds that it cannot complete the task because no research findings were provided. What is the most likely cause of this issue?

A) The synthesis agent needs tools that can fetch results directly from the other agents' conversation histories.
B) The synthesis agent's context window is not large enough to hold the combined outputs from both previous agents.
C) The subagents need to share a single API connection to enable automatic context sharing between invocations.
D) The coordinator did not include the outputs from the previous agents in the synthesis agent's prompt.

2. After the web search and document analysis subagents complete their tasks, the coordinator needs to spawn the synthesis subagent to synthesize the findings. What is the correct approach for providing the synthesis subagent with the information it needs?

A) Spawn the subagent with only a brief task description, relying on automatic context inheritance from the coordinator
B) Include the complete findings from both subagents directly in the synthesis subagent's prompt
C) Provide the subagent with tool definitions that allow it to request outputs from other subagents via callbacks
D) Pass reference identifiers and configure the subagent with read access to a shared memory store where other subagents deposited their results

3. Your agent uses three tools: get_property_details(property_id) returns data including street address, get_price_history(property_id) returns historical pricing, and get_neighborhood_info(address) returns area statistics. You observe that get_neighborhood_info always requires get_property_details first just to extract the address, even when users specify the property by ID. This creates unnecessary latency and failure coupling - if the first call fails, the neighborhood request also fails. What tool design change best addresses this?

A) Add retry logic and timeout handling to get_property_details.
B) Change get_neighborhood_info to accept property_id, resolving the address internally.
C) Create a lookup_address(property_id) helper tool for retrieving addresses.
D) Consolidate into a single get_property_with_neighborhood(property_id) tool returning both datasets.

4. 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 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.
D) You track the number of tool calls made and exit the loop once a preconfigured maximum is reached.

5. An architect needs Claude to produce structured JSON that downstream software can parse automatically. Which prompting strategy is BEST?

A) Explicitly specify the required JSON schema and formatting rules.
B) Ask Claude to "respond normally."
C) Use multiple unrelated examples.
D) Increase maximum output tokens only.

Solutions: