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| Section | Weight | Objectives |
|---|---|---|
| Tool Design & MCP Integration | 18% | - Designing effective tools for Claude applications - Tool safety, reliability, and usability - Model Context Protocol (MCP) concepts and integration |
| Prompt Engineering & Structured Output | 20% | - Improving Claude response quality and consistency - Structured output generation and validation - Prompt design strategies |
| Context Management & Reliability | 15% | - Managing context windows and information flow - Production deployment considerations - Evaluation and reliability strategies |
| Agentic Architecture & Orchestration | 27% | - Designing agentic systems and workflows - Selecting appropriate Claude architectures - Agent coordination and orchestration patterns |
| Claude Code Configuration & Workflows | 20% | - Developer productivity workflows - Claude Code usage and configuration - Integrating Claude Code into development processes |
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NEW QUESTION # 76
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 asks the agent to find all callers of a function before removing it. The function is defined in a core library but is also exposed through wrapper modules that rename the function for domain- specific use (e.g., calculateTax in the library becomes computeOrderTax in the orders module).
What exploration strategy will most reliably identify all callers?
Answer: A
Explanation:
The search must first establish the function's complete naming surface. Reading the core definition and every wrapper or re-export reveals aliases such as computeOrderTax, names introduced through intermediate modules, and potentially different import paths. Once those names are known, the agent can search the entire codebase for each exposed identifier and inspect the resulting call sites.
Claude Code's Grep tool searches patterns inside file contents, whereas Read provides the surrounding implementation needed to determine whether a wrapper delegates to, renames, or conditionally invokes the original function. These tools are complementary: Read establishes semantic identity; Grep provides broad reference discovery.
NEW QUESTION # 77
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
You need to add a date validation check ensuring event dates are in the future. This requires adding a conditional statement to one existing function in a single file.
What is the most appropriate approach?
Answer: A
Explanation:
This change is narrow, localized, and already defined: add one conditional validation check to an existing function in a single file. A separate planning phase would introduce process overhead without resolving meaningful architectural uncertainty. Direct execution allows Claude to read the function, implement the condition, and run the relevant focused tests.
Anthropic explicitly states that plan mode adds overhead and should generally be skipped when the scope is clear and the fix is small. Planning is most valuable when the approach is uncertain, multiple files are affected, or the code is unfamiliar. Anthropic's practical rule is that when the required diff can be described in one sentence, direct implementation is appropriate. ( https://code.claude.com/docs/en/best-practices ) Option B allocates unnecessary reasoning effort to straightforward validation logic. Options C and D exaggerate the complexity of a single-function change. Broader impact analysis would be justified only if the requirement altered reservation semantics, time-zone rules, persistence behavior, or public interfaces-none of which is stated.
The implementation should still include verification. Claude should add or update tests for a future date, the current date, and a past date, then run the narrowest relevant test command. Direct execution does not mean unverified execution.
Official references/topics: Direct Execution; Plan-Mode Selection; Small Scoped Changes; Focused Verification.
NEW QUESTION # 78
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
Your team frequently migrates React components to Vue. You've written a step-by-step workflow for Claude Code to follow during each migration, and you want every developer on the team to invoke it by typing /migrate-component. The workflow should stay in sync as the team iterates on it. Where should you place the skill file?
Answer: A
Explanation:
A project-scoped skill is available to everyone working in that repository and stays synchronized through version control. The skill directory name exposes it as /migrate-component.
NEW QUESTION # 79
A team wants to reduce hallucinations without significantly changing application logic. Which improvement should be implemented FIRST?
Answer: C
Explanation:
Grounding Claude with trusted retrieved information is one of the most effective methods for reducing hallucinations. It provides current, authoritative context while requiring relatively small architectural changes compared with retraining or redesigning the application.
NEW QUESTION # 80
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
You've asked Claude to write a data migration script, but the initial output doesn't correctly handle records with null values in required fields.
What's the most effective way to iterate toward a working solution?
Answer: A
Explanation:
A concrete test case converts an imprecise correction into an executable success criterion. The input demonstrates the failing null-value condition, while the expected output defines exactly how the migration must handle it. Claude can modify the implementation, run the test, inspect the result, and continue iterating until the behavior passes.
Anthropic recommends giving Claude a verification mechanism such as a test suite, build result, linter, fixture comparison, or screenshot. Without such a mechanism, Claude can only judge that its output appears correct.
A pass-or-fail test closes the feedback loop by allowing Claude to perform the work, evaluate the result, and refine it using objective evidence. ( https://code.claude.com/docs/en/best-practices ) Option A provides no additional specification and may generate a different but still incorrect implementation.
Option B fixes the immediate defect manually but fails to use Claude's iterative capabilities or establish a regression check. Option C supplies more description, but regenerating the entire script increases the risk of altering already-correct behavior and still lacks objective validation.
The best workflow is to add the failing case to the migration test suite, request the smallest necessary correction, run the relevant tests, and retain that test permanently to prevent the null-handling defect from recurring.
Official references/topics: Executable verification, test-driven iteration, regression protection, tight feedback loops.
NEW QUESTION # 81
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