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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Governance, Risk, and Responsible Use | 15% | - Apply data sensitivity, regulatory, and privacy considerations - Follow organizational AI policies and governance standards - Identify appropriate and inappropriate use cases - Understand ethical implications of Claude use |
| Output Evaluation and Validation | 21% | - Organize and curate information and select appropriate output formats - Evaluate Claude-generated outputs for accuracy and completeness - Apply fact-checking and validation techniques - Determine when human review or additional verification is required - Edit and adapt outputs for the intended audience - Identify hallucinations, inconsistencies, and biases in responses |
| Product and Model Selection | 12% | - Select appropriate Claude product features - Differentiate between Claude model types - Align model selection with task requirements - Manage context limitations and memory |
| Configuration and Knowledge Management | 12% | - Create effective system-level instructions - Maintain and update configurations - Manage uploaded knowledge and connectors - Configure Claude Projects with instructions and knowledge sources |
| Prompting and Task Execution | 14% | - Create effective prompts for business and technical tasks - Apply task decomposition techniques to structure complex requests - Iterate prompts to improve output quality - Adapt prompting strategy by task type |
| Workflow Integration and Solution Design | 16% | - Analyze requirements and use cases - Integrate Claude into existing workflows and communicate its value and limitations - Support solution design through iteration - Use Claude for research, planning, and process optimization |
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NEW QUESTION # 106
You are an operations lead choosing actions when a Claude conversation has degraded in quality.
Which recovery action should be tried first when conversation quality degrades?
Answer: B
Explanation:
Answer A is correct. When a long Claude conversation begins producing less relevant, inconsistent, or lower- quality responses, the first recovery action should be to consolidate the important context. A concise summary should capture the current objective, confirmed decisions, applicable constraints, authoritative facts, unfinished tasks, and required output format. The user can then provide a focused follow-up prompt that clearly states the next action.
This approach removes accumulated conversational noise while preserving useful progress. Long conversations may contain obsolete instructions, abandoned ideas, corrections, and competing requirements that make the current task harder to interpret. A structured summary re-establishes a clean working state without unnecessarily restarting the entire process.
Option B is disproportionate because changing vendors does not diagnose or correct poor context management. Option C adds unnecessary escalation before basic recovery has been attempted. Option D may eventually be appropriate when the conversation is irreparably confused, but immediately discarding all work wastes valid context and completed analysis.
Anthropic's prompting guidance emphasizes clear instructions, relevant context, structured inputs, and explicit task requirements. Summarizing the state and narrowing the next request applies these principles directly. If quality remains poor after this step, the user can then start a new conversation using the summary as its initial context. Anthropic prompting best practices
NEW QUESTION # 107
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: A,B
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 # 108
You are reviewing Connector setups that colleagues have proposed for various tasks.
Which two Connector setups represent safe and appropriate uses? (Select two.) Each correct answer presents a complete solution.
Answer: C,D
Explanation:
Under the objective Manage uploaded knowledge and connectors (e.g., Google Drive, Gmail) , establishing data connectors requires adhering to the principle of least privilege, strict scope boundary management, and robust data classification.
Option B is an authorized, safe integration: connecting Claude to an approved, bounded project management workspace with explicit scope controls allows the model to summarize tasks and sprint updates safely. Option D is an ideal read-only integration, granting access to public documentation and reference repositories where confidential data leakage risks are zero. Conversely, connecting AI tools to core payroll infrastructure (Option E) or sensitive personnel/HR databases (Option A) introduces severe compliance, privacy, and unauthorized access liabilities. Linking personal cloud storage repositories containing unvetted mixed personal data (Option C) violates data governance standards by risking unintentional exposure of private files.
NEW QUESTION # 109
Preparing an AI-assisted work product for external delivery, a senior manager is applying the AI Fluency Framework Diligence competency.
Which step best reflects Diligence principles?
Answer: B
Explanation:
Option D correctly applies Diligence because it preserves human accountability throughout the use of Claude.
AI assistance does not transfer responsibility for the accuracy, legality, suitability, or consequences of a deliverable to the model. The responsible professional must identify claims, calculations, citations, recommendations, and other elements requiring independent validation and must correct deficiencies before the material is distributed externally.
Anthropic defines Diligence as taking responsibility for what people do with AI and how they do it. This includes maintaining appropriate oversight, recognizing the limitations of generated content, and ensuring that important outputs receive review proportionate to their impact. Anthropic's hallucination-reduction guidance similarly states that critical information must be validated because techniques that reduce hallucinations cannot eliminate them entirely.
Options A and B explicitly attempt to transfer accountability to Claude, which is incompatible with Diligence.
Option C incorrectly treats fluent presentation as proof of factual accuracy. Language models can produce convincing but unsupported statements, so apparent confidence cannot replace verification. The manager must retain ownership of the final work product and independently validate the elements that could affect external stakeholders. Anthropic's AI Fluency definitions and hallucination guidance
NEW QUESTION # 110
You are an operations lead and notice that a Project's outputs have been drifting from the team's current expectations.
Which maintenance action should be tried first?
Answer: D
Explanation:
Project output drift commonly occurs when persistent instructions, reference documents, terminology, policies, or expected formats no longer reflect the team's current operating standard. Option C addresses the most direct and controllable cause by reviewing the Project's instructions and knowledge sources before replacing the Project or changing models.
Anthropic explains that Project instructions define how Claude should behave and respond across chats in that Project. Documents uploaded to Project knowledge provide persistent context that Claude uses throughout those chats. If either component contains obsolete requirements, conflicting guidance, or superseded source material, Claude can consistently produce results that no longer meet the team's expectations. The appropriate maintenance response is to compare instructions and knowledge against current standards, remove obsolete files, resolve contradictions, clarify requirements, and test the revised configuration with representative requests.
Option A is unnecessarily destructive before the cause has been diagnosed. Option B changes the model without correcting stale or conflicting instructions and therefore may preserve the underlying problem. Option D institutionalizes degraded output rather than correcting it. Reviewing and updating the Project configuration is the lowest-risk and most evidence-based first action. Anthropic's Project management guidance
NEW QUESTION # 111
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