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| Section | Weight | Objectives |
|---|---|---|
| Product and Model Selection | 12% | - Manage context limitations and memory - Select appropriate Claude product features - Align model selection with task requirements - Differentiate between Claude model types |
| Workflow Integration and Solution Design | 16% | - Support solution design through iteration - Integrate Claude into existing workflows and communicate its value and limitations - Use Claude for research, planning, and process optimization - Analyze requirements and use cases |
| Troubleshooting and Optimization | 10% | - Optimize workflows for efficiency and effectiveness - Identify and diagnose issues with underperforming prompts or poor outputs - Adjust approaches based on feedback and results |
| Prompting and Task Execution | 14% | - Create effective prompts for business and technical tasks - Adapt prompting strategy by task type - Apply task decomposition techniques to structure complex requests - Iterate prompts to improve output quality |
| Output Evaluation and Validation | 21% | - Determine when human review or additional verification is required - Edit and adapt outputs for the intended audience - Apply fact-checking and validation techniques - Evaluate Claude-generated outputs for accuracy and completeness - Organize and curate information and select appropriate output formats - Identify hallucinations, inconsistencies, and biases in responses |
| Configuration and Knowledge Management | 12% | - Manage uploaded knowledge and connectors - Create effective system-level instructions - Configure Claude Projects with instructions and knowledge sources - Maintain and update configurations |
| Governance, Risk, and Responsible Use | 15% | - Follow organizational AI policies and governance standards - Understand ethical implications of Claude use - Apply data sensitivity, regulatory, and privacy considerations - Identify appropriate and inappropriate use cases |
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NEW QUESTION # 147
A marketing associate is drafting Project custom instructions for a brand-voice writing workspace. The workspace will be used by several writers, and outputs need to be consistent across writers and chats.
Which approach is most likely to produce consistent outputs across many chats?
Answer: B
Explanation:
Project custom instructions should contain persistent behavioral requirements that apply to every conversation in the workspace. Option C is correct because it explicitly defines Claude's role, intended audience, brand attributes, tone boundaries, and terminology requirements. These elements collectively reduce ambiguity and help different writers obtain consistent results across separate chats.
Option A relies too heavily on a single example. Examples can demonstrate style, but they may not communicate every prohibited tone, terminology rule, or audience requirement. Option B delegates important persistent constraints to individual writers, creating predictable variation between chats. Option D places the glossary in Project knowledge but fails to make terminology compliance an explicit behavioral requirement.
Claude may reference knowledge files when relevant, but custom instructions should directly state that approved terminology must be followed.
The strongest configuration separates behavior from supporting material: custom instructions define what Claude must consistently do, while Project knowledge stores detailed glossaries, brand guides, approved examples, and other reference documents. This aligns with Claude Project guidance concerning reusable instructions, scoped knowledge, roles, workflows, and consistent output expectations.
NEW QUESTION # 148
An HR team member is reviewing a Claude-drafted set of interview questions intended for use across all candidates for a single role. The questions will be asked in the same order to every candidate.
Which review practice best supports fairness?
Answer: B
Explanation:
Under the objective Understand ethical implications of AI usage , applying AI in human resources demands rigorous bias auditing to ensure fair, standardized, and legally defensible evaluation practices.
Structured interviewing requires that questions focus strictly on observable, job-related competencies and avoid implicit assumptions or biased phrasing that could systematically disadvantage candidates from diverse non-traditional backgrounds (Option A). Human review must verify that Claude-generated questions remain objective, relevant, and standardized across applicants. Assuming AI outputs are unbiased by default and checking only stylistic tone (Option B) introduces compliance and equity risks. Injecting unstructured, ad-hoc questions per candidate (Option C) or scrambling question order inconsistently (Option D) undermines standardization and equitable scoring across applicant pools.
NEW QUESTION # 149
You are a project manager working through a long planning conversation with Claude and must keep the conversation productive as it grows.
Which two practices keep a long planning conversation productive? (Select two.) Each correct answer presents a complete solution.
Answer: C,D
Explanation:
Under the objective Understand, manage context limitations and memory considerations and when to restart, summarize, or persist , managing conversational state across long planning sessions is essential for maintaining output quality and coherence. Large Language Models operate within finite context windows where attention can degrade as extraneous tokens accumulate.
Option B is a best practice because shifting subtopics often dilutes earlier instructions; explicitly restating key constraints and strategic goals ensures the model anchors its attention on active parameters without being distracted by obsolete conversational turns. Option C represents context compression-a core technique where key milestones, agreed parameters, and decisions are consolidated into a dense summary. This reduces token overhead, frees up working memory, and prevents hallucination or drift. Conversely, opening a new thread for every minor question (Option A) fractures contextual continuity, switching topics arbitrarily (Option D) pollutes attention heads, and avoiding summarization (Option E) accelerates context bloat and degrades performance.
NEW QUESTION # 150
A Claude associate is evaluating whether to enable a Skill that was provided by an unfamiliar third party.
Which two checks best support a sound trust decision? (Select two.)
Answer: B,D
Explanation:
A Skill from an unfamiliar party must be treated as untrusted until its origin and behavior are reviewed.
Option A verifies provenance and confirms that the Skill is permitted by the organization's governance process. Option B applies least privilege by examining what the Skill can access or execute and determining whether those capabilities are necessary for its stated task.
Public availability, popularity, or favorable reviews do not establish security. A Skill can contain instructions, scripts, dependencies, external calls, or other resources capable of causing unintended actions or exposing data. Therefore, Options C and D substitute reputation for technical and organizational validation. Option E is also unsafe because Skills may execute code or access resources available in the surrounding environment; assumed workflow boundaries are not a reliable security control.
Anthropic warns that malicious or compromised Skills can create prompt-injection, unauthorized-access, and data-exfiltration risks. Its guidance instructs users to install Skills only from trusted sources and to inspect bundled files, scripts, dependencies, network calls, and requested operations before enabling them.
Organizational allowlists and permission reviews provide complementary controls: one establishes trust in the source, while the other limits what the Skill may do. Anthropic's Skill security guidance
NEW QUESTION # 151
You have iterated a Claude prompt eight times, and the output quality has plateaued for the last four attempts.
Which conclusion is most appropriate?
Answer: C
NEW QUESTION # 152
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