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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Design & Architecture | 17% | - Architectural patterns
- End-to-end architecture design - Alignment with business value, cost, performance, and SLAs - Translating business problems into Claude-based AI solutions - Decomposition techniques for complex problem solving |
| Topic 2: Governance, Safety & Risk Management | 14% | - Regulatory and compliance requirements - AI safety and guardrails - Security and risk management - Human-in-the-loop validation - Ethical AI considerations |
| Topic 3: Developer Productivity & Operational Enablement | 7% | - Developer enablement - Debugging and operational issue resolution - Claude tooling configuration for teams - AI-assisted developer workflows |
| Topic 4: Stakeholder Communication & Lifecycle Management | 14% | - Discovery and requirements gathering - Service-level agreements - Communicating architectural decisions - Stakeholder management - Architecture documentation - Solution lifecycle management |
| Topic 5: Evaluation, Testing & Optimization | 16% | - Evaluation framework design - Cost and performance optimization - System issue diagnosis - A/B testing - Evaluation metrics and datasets - Production monitoring and optimization |
| Topic 6: Integration | 19% | - RAG pipeline design
- Enterprise system integration - Claude integration mechanisms
|
| Topic 7: Claude Models, Prompting & Context Engineering | 13% | - Context window optimization - System prompts and prompt templates - Guardrails - Claude model selection and trade-offs - Prompt reuse and context engineering strategies |
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NEW QUESTION # 79
You are reviewing a customer-support agent's configuration. Each candidate tool falls into one of four categories: (1) required to complete defined tasks, (2) frequently used and reduces hand-offs, (3) occasionally useful for unrelated work, (4) speculative future utility.
Which categories should typically remain in the agent configuration?
Answer: C
Explanation:
Category 1 tools are necessary for the agent to complete its approved responsibilities and must remain.
Category 2 tools are also justified when they are regularly used and eliminate predictable hand-offs without expanding the agent beyond its defined operating role.
Categories 3 and 4 create capability bloat. A tool that is occasionally useful only for unrelated work does not belong to this agent's responsibility boundary. A speculative tool has no validated requirement and adds attack surface, context consumption, authorization complexity, evaluation burden, and operational dependencies without demonstrated value.
Tool inclusion should be based on task traceability: every configured capability should map to a documented user journey, responsibility, permission scope, and evaluation case. Anthropic recommends least privilege so that a successful injection or model error can cause minimal damage. Mitigate Jailbreaks and Prompt Injections The architect should periodically review tool-call telemetry and remove unused capabilities. New tools can be added when a validated workflow requires them, after security review and evaluation. The objective is not the smallest possible catalog regardless of usefulness; it is the smallest catalog that reliably completes the agent's approved tasks.
Study Guide references/topics: Capability-bloat analysis; tool necessity; hand-off reduction; least privilege; attack-surface management; tool lifecycle review.
NEW QUESTION # 80
A technical team is cataloguing risks specific to Claude's use in a document-grounded Q & A system.
Which two items represent failure modes intrinsic to LLM-based systems rather than generic software defects? (Select two.)
Answer: B,E
NEW QUESTION # 81
An operations engineer reports that a Claude-based pipeline began returning malformed JSON responses after a scheduled maintenance window, causing downstream processing failures.
Which two investigative steps most directly isolate the root cause? (Select two.)
Answer: A,C
Explanation:
The strongest investigation combines configuration comparison with controlled replay. Comparing the current system prompt and output-schema settings against the last known good version identifies maintenance-related configuration drift. Relevant differences include removed formatting instructions, altered schema requirements, incompatible parser expectations, changed stop sequences, or a disabled structured-output mechanism.
Replaying known premaintenance requests against the current configuration creates a controlled test set.
Inspecting the raw response before parsing then establishes whether malformed JSON originates in model generation or is introduced by streaming assembly, transport handling, post-processing, or the downstream parser. If the raw response is valid but the pipeline rejects it, the fault lies after generation. If the raw response is malformed, the prompt, schema enforcement, stop reason, and request configuration become the primary investigation targets.
Clearing the prompt cache assumes cache corruption without evidence. Changing model tiers introduces another variable and weakens causal attribution. Raising `max_tokens` is appropriate only when raw responses show truncation and the returned stop reason indicates the token limit was reached; it is not the most direct initial test.
Study Guide references/topics: [Increasing output consistency](https://docs.anthropic.com/en/docs/test-and- evaluate/strengthen-guardrails/increase-consistency); [agent evaluation methodology] (https://www.anthropic.
com/engineering/demystifying-evals-for-ai-agents); regression replay; last-known-good comparison; raw- output inspection.
NEW QUESTION # 82
You are listing characteristics of robust guardrail design for an enterprise deployment.
Which two characteristics belong on the list? (Select two.)
Each correct answer presents a complete solution.
Answer: B,D
NEW QUESTION # 83
You are investigating an MCP server that fails on first launch but succeeds on subsequent runs. System permission dialogs appeared during the first launch.
Which response is most appropriate?
Answer: C
Explanation:
The observed sequence provides direct causal evidence: the initial connection was interrupted while the operating system awaited authorization, and later attempts succeeded after permission was granted. The correct response is to verify repeatability, document the first-run requirement, and incorporate it into installation or onboarding instructions. Reinstalling the operating system is disproportionate and destroys useful diagnostic state. Disabling permission dialogs weakens endpoint security and bypasses the control rather than addressing expected behavior. Replacing a server that operates correctly after authorization misclassifies a transient initialization condition as a permanent defect. Claude Code uses explicit permission controls to balance capability and safety, so first-use approval behavior should be accommodated rather than suppressed. Claude Code permissions
NEW QUESTION # 84
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