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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applications and Integration | 33.1% | - Application Development and Integration
|
| Topic 2: Prompt and Context Engineering | 11% | - Prompt Engineering
|
| Topic 3: Claude Code | 3.1% | - Claude Code Configuration and Usage
|
| Topic 4: Security and Safety | 8.1% | - Secure Application Design
|
| Topic 5: Eval, Testing, and Debugging | 2.6% | - Testing and Debugging
|
| Topic 6: Model Selection and Optimization | 16.8% | - Performance and Cost Optimization
|
| Topic 7: Tools and MCPs | 10.6% | - Model Context Protocol
|
| Topic 8: Agents and Workflows | 14.7% | - Agent Architecture and Tradeoffs
|
Question 1
A teammate has asked you to explain why the team's Claude application is billed for output tokens at a different rate than input tokens. They had assumed the rate was the same for both.
How would you explain the difference?
A. Output tokens are typically billed at the same rate as input tokens, and the apparent rate difference is a billing error to report to Anthropic.
B. Output tokens are typically billed at a higher rate than input tokens, and cost models for the application should reflect both rates separately.
C. Output tokens are not billed at all, because cost is determined entirely by the input tokens sent to the model on each request.
D. Output tokens are typically billed at a lower rate than input tokens, because output tokens are cheaper to produce than input tokens are to process.
Question 2
You are explaining to a stakeholder why running the same Claude prompt twice can produce slightly different results. The stakeholder is concerned this means the application is broken.
How would you address the stakeholder's concern?
A. Tell the stakeholder the variation is a bug that the team will fix in the next release of the application, then create a work ticket to fix the bug.
B. Tell the stakeholder the variation comes from network latency and that switching to a faster network connection will produce more consistent results across runs.
C. Explain that LLMs are non-deterministic by default due to sampling, and describe how the application handles this through validation, retries, or temperature adjustment.
D. Tell the stakeholder the variation is caused by Claude being updated continuously by Anthropic, and that switching to a fixed model snapshot will eliminate the variation entirely.
Question 3
Your Claude agent has too many tools, and many of them have overlapping functionality. The agent often picks an inappropriate tool when several could plausibly handle a request.
How would you address the tool selection problem?
A. Restructure the tool set by consolidating overlapping tools, removing unused tools, and clarifying tool descriptions so each tool has a distinct purpose.
B. Add more tools to cover every variation of the requests the agent handles, on the grounds that more tools give the agent more accurate options to choose from.
C. Add detailed examples to each tool's description so the agent can match incoming requests to the right tool by example, treating the examples as the team's selection mechanism.
D. Remove all tools and rely on the agent's general capability instead, with the application losing the workflows that previously relied on tools.
Question 4
The team is debating whether to build a new capability as a custom tool or to use an existing built-in tool that nearly covers the use case but lacks one specific feature.
How would you decide?
A. Identify whether the team has previously built similar custom tools and use those precedents to determine which approach is more consistent with the existing codebase.
B. Examine the custom tool option by scoping the implementation effort and determining whether the additional flexibility justifies the development and maintenance cost.
C. Evaluate whether the missing feature can be addressed by extending the built-in tool or warrants a custom tool, then choose accordingly.
D. Review the built-in tool's documentation and assess whether its existing capabilities are sufficient to cover the use case without any modification or extension.
Question 5
Your team is debating how to manage the prompts used in your Claude application. Some prompts are checked into the code repository, some live in a separate configuration file, and some are constructed inline at runtime. The result is inconsistent, and a recent prompt change went out without code review.
What steps would you take?
A. Establish a single source of truth for prompts, version-control them alongside code, and require code review for prompt changes.
B. Move all prompts out of version control to a separate spreadsheet that team members can edit freely as the application evolves over time.
C. Establish a single source of truth for prompts but keep change review optional, allowing developers to update prompts directly when changes are urgent.
D. Move all prompts to inline runtime construction so the team can update them quickly through a streamlined process outside the standard code review workflow.
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: A |
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