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| Section | Weight | Objectives |
|---|
| Context Management & Responsible AI | 15% | - Context window optimization
- 1. Token management and truncation strategies
- 2. Context retention and summarization
- Safety and compliance
- 1. Refusal handling and risk mitigation
- 2. Constitutional AI principles
|
| Claude Code Configuration & Workflows | 20% | - Configuration files and structure
- 1. CLAUDE.md and rules system
- 2. Custom commands and workflows
- CI/CD and development integration
- 1. Plan mode vs direct execution
- 2. Pipeline automation and review
|
| Prompt Engineering & Structured Output | 20% | - Advanced prompting techniques
- 1. Few-shot and chain-of-thought prompting
- 2. System prompts and role framing
- Structured data generation
- 1. Output validation and reliability
- 2. JSON schema enforcement
|
| Tool Design & MCP Integration | 18% | - Tool definition and best practices
- 1. Error handling and validation
- 2. Tool descriptions and selection logic
- Model Context Protocol (MCP)
- 1. Tools, resources, and prompts integration
- 2. MCP server and client setup
|
| Agentic Architecture & Orchestration | 27% | - Agent design patterns
- 1. Agent loops and control flow
- 2. Hub-and-spoke multi-agent systems
- Anthropic Agent SDK usage
- 1. Session state and context handling
- 2. Task spawning and tool management
|
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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions (Q106-Q111):
NEW QUESTION # 106
A quicktechie.com engineer pauses an active Claude Code investigation session, makes several manual code modifications to the project files in a separate IDE, and then resumes the Claude session. What is the recommended practice to ensure reliable continued analysis?
- A. Rely on Claude's background file system watcher to automatically update the context window.
- B. Explicitly inform the resumed session about the specific file changes for targeted re-analysis rather than requiring full re-exploration.
- C. Invoke a PreToolUse hook to block Claude from reading any newly modified files.
- D. Use the /compact command to clear Claude's memory of the old file states automatically.
Answer: B
Explanation:
When resuming sessions after external code modifications, it is critical to explicitly inform the agent about the changes to previously analyzed files. This enables targeted re-analysis, avoiding context degradation that occurs when Claude relies on stale memories of files that have since been changed.
NEW QUESTION # 107
Which statements correctly describe the relationship between JSON schemas and validation loops in structured extraction? Choose 2 correct answers.
- A. Validation loops are necessary to catch semantic errors, such as line items failing to sum to the extracted total.
- B. Validation retries are most effective when the required information is completely missing from the document.
- C. Semantic errors (e.g., values placed in wrong fields) are prevented entirely by strict JSON schemas.
- D. tool_use eliminates schema syntax errors, greatly reducing the need for syntax-focused retries.
Answer: A,D
Explanation:
Tool use guarantees structural compliance (eliminating JSON syntax errors), but it does not guarantee semantic correctness. Therefore, validation loops are still absolutely necessary to catch semantic errors like bad mathematical summations or values placed in the wrong fields.
NEW QUESTION # 108
Your conversational assistant frequently generates multiple clarifying questions when users make ambiguous requests. When a user asks "Can you help me with the report?", the assistant responds: "I'd be happy to help! Could you tell me: 1) Which report? 2) What kind of help - drafting, reviewing, or formatting? 3) What's your deadline?" User analytics show a 40% conversation abandonment rate after these multi-question responses.
What's the most effective way to reduce friction while appropriately handling ambiguity?
- A. Modify the system prompt to instruct the assistant to make reasonable assumptions from available context, state those assumptions explicitly, and offer to adjust if the interpretation is wrong.
- B. Limit the assistant to one clarifying question per turn, using conversation history to accumulate answers over multiple exchanges rather than requesting everything upfront.
- C. Add a preprocessing step using a smaller model to classify request ambiguity on a 1-5 scale, routing high-ambiguity requests to a clarification dialog and low-ambiguity requests directly to the assistant.
- D. Create a lookup table of common request patterns with predefined default interpretations, having the assistant respond with those defaults without stating the assumptions made.
Answer: A
Explanation:
Making reasonable assumptions based on context and clearly stating them allows the assistant to respond immediately while giving users the opportunity to correct or refine the interpretation, reducing abandonment caused by long multi-question prompts and maintaining engagement.
NEW QUESTION # 109
Which of the following are recommended architectural practices for preserving information provenance and handling uncertainty in a multi-agent system at quicktechie.com? Choose 2 correct answers.
- A. Structuring reports with explicit sections that distinguish well-established findings from contested ones, preserving the original methodological context.
- B. Silently dropping contested findings to ensure the final synthesis report appears highly confident.
- C. Requiring subagents to output structured claim-source mappings (including source URLs, document names, and excerpts) that downstream agents must preserve.
- D. Omitting publication dates from the metadata to save valuable token space in the coordinator's context window.
Answer: A,C
Explanation:
Recommended practices for information provenance include requiring structured claim-source mappings that pass through to the final output, and structuring reports to explicitly distinguish well-established findings from contested ones. Dropping contested findings or omitting temporal metadata are anti-patterns that destroy critical context.
NEW QUESTION # 110
Which of the following statements represent correct principles of multi-agent orchestration design? Choose 2 correct answers.
- A. A flat architecture where all agents share a global state is generally preferred over a hub-and-spoke architecture.
- B. The coordinator should route all inter-subagent communication to maintain observability and consistent error handling.
- C. Subagents should automatically inherit the coordinator's memory across invocations to save token costs.
- D. Parallel execution of subagents is achieved by emitting multiple Task tool calls in a single coordinator response.
Answer: B,D
Explanation:
Parallel execution is properly implemented by having the coordinator emit multiple Task tool calls in a single turn. Furthermore, in a hub-and-spoke architecture, the coordinator routes all inter-agent communication, providing observability and controlled information flow. Flat architectures with global state and automatic memory inheritance are anti-patterns leading to context exhaustion.
NEW QUESTION # 111
......
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