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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentic Architecture & Orchestration | 27% | - Agentic architecture patterns
|
| Topic 2: Tool Design & MCP Integration | 18% | - Tool integration
|
| Topic 3: Prompt Engineering & Structured Output | 20% | - Prompt design
|
| Topic 4: Claude Code Configuration & Workflows | 20% | - Claude Code
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| Topic 5: Context Management & Reliability | 15% | - Context handling
|
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NEW QUESTION # 158
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.
A user expands the research system beyond its original web-search agent by adding specialized data sources.
A financial API agent returns structured JSON containing revenue, margins, and growth rates. A news- monitoring agent returns prose summaries of recent developments. A patent-analysis agent returns structured lists of technology areas. The synthesis agent combines these results into executive briefings. Currently, it converts everything into bullet points, causing financial comparisons to lose tabular clarity and news summaries to lose their narrative flow.
What change would most improve briefing quality?
Answer: B
Explanation:
Option C preserves the information structure that makes each source useful. Financial metrics share comparable fields and therefore benefit from rows, columns, aligned units, and reporting periods. News findings require connected prose to preserve chronology and causal relationships, while patent technology areas are naturally represented as categorized lists. Anthropic's output-consistency guidance recommends specifying the exact output format needed for the task rather than relying on an unspecified default. Anthropic' s discussion of its multi-agent research system also recognizes specialized output stages for reports, structured data, and visualizations because specialist prompts can produce better results than generic coordinator processing. Option A destroys the comparative structure of numerical data. Option D can provide a useful provenance contract internally but does not determine how the executive briefing should present heterogeneous content. Option B risks creating a lowest-common-denominator representation that discards source-specific advantages. The synthesis contract should preserve normalized facts and provenance internally while directing the report generator to select presentation forms according to the content's semantic structure and the executive reader's needs.
NEW QUESTION # 159
You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline.
The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.
A developer uses Claude Code to refactor a function during a development session. Before committing, the developer asks the same Claude session to review the code for issues. Later, a separate automated CI review catches several bugs that the same-session review missed.
What best explains this discrepancy?
Answer: D
Explanation:
Option A describes the principal reason an independent review context is valuable. The implementing session contains the assumptions, interpretations, and reasoning that produced the refactor. When asked to review its own work, Claude may continue operating within those same assumptions and therefore overlook defects caused by them. A fresh reviewer evaluates the resulting diff and stated requirements independently, without inheriting the implementation narrative.
Anthropic's Claude Code best-practices guidance explicitly recommends an adversarial review step using a fresh subagent or separate context. It explains that the reviewer should see the diff and review criteria rather than the reasoning that produced the change. Option B is possible in an unusually long session, but the scenario provides no evidence that the context window was exhausted. Option C could influence review quality, but no prompt difference is established. Option D is factually incorrect: a local Claude Code session can inspect the checked-out repository through its filesystem tools. The reliable workflow is therefore a writer
/reviewer separation in which implementation occurs in one context and correctness review occurs in a fresh context with explicit evidence and reporting criteria. Claude Code best practices
NEW QUESTION # 160
After the web-search agent finds 25 sources containing 120,000 tokens of raw content, the document-analysis agent extracts 15,000 tokens of key insights, and the synthesis agent produces a coherent 3,000-token narrative draft, the coordinator must pass context to the report-generation agent for the final output with proper source citations. What context-passing strategy provides the best balance of completeness and efficiency?
Answer: C
Explanation:
Option B gives the report generator the two forms of information it actually needs: a compact narrative containing the synthesized conclusions and precise evidence records supporting those conclusions. The source index should map claim identifiers to URLs, document locations, excerpts, and other provenance fields so citations can be generated and verified without reloading 120,000 tokens of raw material.
Anthropic's context-engineering guidance recommends distilling extensive subagent activity into high-signal summaries while preserving critical context and dependencies. Its research architecture similarly treats subagents as intelligent filters that compress large evidence collections before returning relevant findings to the coordinator.
Option A lacks sufficient location-level evidence for reliable citation verification. Option C postpones attribution until after drafting, when claim wording may no longer map cleanly to the original evidence.
Option D maximizes theoretical completeness but introduces extensive irrelevant material, higher token costs, slower processing, and greater context pollution. The synthesis draft plus a structured claim-to-source index maintains evidentiary completeness where it matters while eliminating intermediate searches, duplicate passages, and other low-value context.
NEW QUESTION # 161
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 monorepo contains shared coding standards in /docs/standards/ : security-rules.md (for services handling user data), testing-petterns.md (for all packages), and api-conventions.md (for API-facing services). Your 15 packages are organized by feature domain ( /packages/auth/,
/packages/billing/, /packages/notifications/ , etc.) without naming conventions indicating which handle user data or expose APIs. Package maintainers are expected to configure their own local development settings, as they understand their package's domain requirements. Currently, all package CLAUDE.md files duplicate all three standards, applying irrelevant guidance. What's the most effective approach?
Answer: D
Explanation:
Package maintainers know which domain-specific standards apply. Each package can import only the required shared files, avoiding duplicated content and irrelevant context while keeping the authoritative standards centralized. Claude Code supports @path/to/import in CLAUDE.md files.
NEW QUESTION # 162
Your multi-agent research pipeline crashed after processing 12 of 28 documents. The web-search agent had identified relevant sources, the document analyzer had partially completed extraction, and the synthesizer had begun identifying patterns. You need to resume processing without repeating work or losing fidelity in the prior findings. What state-management approach best balances information fidelity with context efficiency when restoring agent state?
Answer: A
Explanation:
Option A combines lossless persistence with selective restoration. Each agent should checkpoint structured records containing completed document identifiers, extracted findings, source provenance, unresolved work, verification status, and schema version. A coordinator-level manifest can record which stages completed and where their artifacts are stored. On recovery, the coordinator skips completed documents and injects only the state required by each restarted agent.
Anthropic's effective context-engineering guidance recommends structured notes stored outside the active context window and reloaded when needed. This preserves critical dependencies and progress without replaying an entire execution history.
Option B fragments recovery ownership across agents and makes cross-agent consistency, versioning, and dependency validation difficult. Option C preserves extensive logs but wastes context on redundant tool calls, obsolete instructions, and intermediate messages. Option D is useful for relevance retrieval but semantic search can omit exact details and should not serve as the authoritative recovery record. Structured checkpoints and a validated manifest provide deterministic recovery, efficient context reconstruction, auditability, and precise provenance. Writes should be atomic so partially produced exports are never mistaken for completed work.
NEW QUESTION # 163
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