Last Updated: Aug 22, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Tool Design & MCP Integration | 18% | - Tool integration
|
| Topic 2: Agentic Architecture & Orchestration | 27% | - Agentic architecture patterns
|
| Topic 3: Prompt Engineering & Structured Output | 20% | - Prompt design
|
| Topic 4: Claude Code Configuration & Workflows | 20% | - Claude Code
|
| Topic 5: Context Management & Reliability | 15% | - Context handling
|
1. After integrating a local MCP server providing code analysis tools (analyze_dependencies, find_dead_code, calculate _complexity), you verify the server is healthy and tools appear in the tools/list response. However, you observe that the agent consistently uses Grep to search for import statements instead of calling analyze_dependencies -even when users explicitly ask about "code dependencies." Examining tool definitions reveals:
MCP: analyze_ dependencies - "Analyzes dependency graph"
Built-in: Grep - "Search file contents for a pattern using regular
expressions. Returns matching lines with line numbers and surrounding
context."
What's the most effective approach to improve the agent's selection of MCP tools?
A) Add routing instructions to the system prompt specifying that dependency-related questions should use MCP tools rather than Grep.
B) Remove Grep from available tools when the MCP server is connected to eliminate functional overlap.
C) Expand MCP tool descriptions to detail capabilities and outputs - e.g., "Builds dependency graph showing direct imports, transitive dependencies, and cycles."
D) Split analyze_dependencies into granular tools ( list_imports, resolve_transitive_deps, detect_circular_deps) so each has a focused purpose less likely to overlap with Grep.
2. A healthcare company processes long clinical reports. Some exceed Claude's practical context requirements. What is the BEST architectural approach?
A) Ignore the excess text.
B) Randomly remove paragraphs.
C) Increase temperature.
D) Chunk documents before processing.
3. Which factor MOST directly affects API cost?
A) Internet speed
B) Number of processed tokens
C) Screen resolution
D) CPU clock frequency
4. Your MCP server implements a check_availability tool that queries an external calendar API.
During testing, you encounter three error conditions: (1) the tool is called with a malformed request missing the required user_email parameter, (2) the calendar API returns a 404 because the specified user doesn't exist in the calendar system, and (3) the calendar API returns a 503 because the service is temporarily unavailable. How should each error be reported according to MCP's error handling design?
A) Report error 1 as a JSON-RPC protocol error; report errors 2 and 3 as tool results with isError:
true.
B) Report all three as JSON-RPC protocol errors.
C) Report errors 1 and 2 as JSON-RPC protocol errors; report error 3 as a tool result with isError:
true.
D) Report all three as tool results with isError: true.
5. Your automated reviewer uses a single prompt covering security issues, API design, and business-logic correctness. Your evaluation suite shows strong recall for API-design findings at
82% but poor recall for business-logic edge cases in quiz scoring at 34%. When you add few-shot examples of logic bugs to the prompt, logic recall improves to 41%, but API-design recall drops to
68%. How should you address this trade-off to improve detection across both categories?
A) Split the review into separate focused prompts--one for security and API design and another for business logic--each with dedicated examples, and then consolidate the findings before posting.
B) Provide the full repository as context instead of only the changed files and surrounding code, giving the model deeper visibility into business-logic patterns.
C) Upgrade to a more capable model tier because its stronger reasoning will handle both concern types in a single prompt and eliminate the recall trade-off.
D) Replace the few-shot examples with a detailed checklist of specific logic edge cases to verify, such as division by zero in score calculations and boundary conditions in grading thresholds.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |
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