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Anthropic CCA-F Exam Syllabus Topics:

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

1. A prompt asks Claude to produce Markdown tables. Which addition MOST increases consistency?

A) Remove formatting instructions.
B) Omit examples.
C) Specify exact column names.
D) Increase randomness.

2. Your order management system requires tools for three distinct operations: issuing refunds (requires amount and reason), canceling orders (requires reason), and requesting reshipments (requires shipping address). Each operation shares an order_id parameter but has different additional requirements. You notice during testing that with your current unified tool design, the agent frequently omits required parameters or includes irrelevant ones. What design change will most effectively improve parameter accuracy?

A) Split into three separate tools (issue_refund, cancel_order, request_reshipment), each defining only the parameters required for that specific operation.
B) Keep one unified tool with a nested operation_details object parameter whose internal structure varies by operation type, documented in the tool description.
C) Keep one unified tool with all parameters marked optional, but add detailed few-shot examples in the system prompt showing correct parameter combinations for each operation type.
D) Keep one unified tool but add JSON Schema if-then-else conditionals to enforce that parameters like amount are required only when the operation type is "refund".

3. 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 used the agent yesterday to analyze a legacy authentication module, identifying two distinct refactoring approaches: extracting a microservice versus refactoring in-place. Today, they want to explore both approaches in depth - having the agent propose specific code changes for each - before deciding which to implement. What's the most effective way to structure this exploration?

A) Use fork_session to create two branches from yesterday's analysis, exploring one approach in each fork.
B) Start two fresh sessions, manually providing a summary of yesterday's analysis findings to establish context.
C) Resume yesterday's session to explore the first approach, then start a new session for the second, manually recreating the original context.
D) Resume yesterday's session and explore both approaches sequentially within the same conversation thread.

4. After investigating a billing dispute over 25+ turns, you've identified that duplicate charges occurred due to a payment gateway timeout triggering retry logic. The required refund ($847) exceeds your $500 authorization limit You need to call escalate_to_human, and the human agent won't have access to your conversation transcript. What context should you pass to enable effective resolution?

A) The complete conversation transcript with all tool results.
B) A structured summary: customer ID, root cause, refund amount, and recommended action.
C) Your diagnosis and the refund amount only.
D) The customer's original complaint verbatim plus the tool result excerpts showing duplicate transactions.

5. You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
When analyzing complex legal cases that cite multiple precedents, the document analysis subagent processes each sequentially. A landmark case citing 12 precedents takes over 3 minutes to analyze completely. What's the most effective way to reduce this latency while preserving the coordinator's ability to monitor and debug the system?

A) Enable the document analysis subagent to spawn its own specialized subagents dynamically when it encounters cases with many citations
B) Implement a message queue where precedent analysis tasks are processed asynchronously by a pool of worker agents
C) Create a recursive agent hierarchy where analysis agents subdivide work among child agents until reaching single-precedent granularity
D) Have the coordinator spawn parallel document analysis subagents, each handling a subset of precedents, then aggregate results before synthesis

Solutions: