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| Section | Weight | Objectives |
|---|---|---|
| Prompting and Task Execution | 14% | - Apply task decomposition to structure complex requests - Create effective prompts for business and technical tasks - Adapt prompting strategies by task type - Iterate prompts to improve output quality |
| Configuration and Knowledge Management | 12% | - Configure Claude Projects with instructions - Manage knowledge sources and context - Maintain consistent system-level behavior |
| Product and Model Selection | 12% | - Understand model differences and use cases - Select appropriate Claude product features - Match model capabilities to task requirements |
| Workflow Integration and Solution Design | 16% | - Design AI-assisted processes and solutions - Plan end-to-end Claude-augmented workflows - Integrate Claude into existing business workflows |
| Troubleshooting and Optimization | 10% | - Diagnose context and performance issues - Adjust prompts and configuration to improve results - Identify causes of poor or unexpected outputs |
| Output Evaluation and Validation | 21% | - Determine when human review is required - Detect hallucinations, biases, and inconsistencies - Evaluate outputs for accuracy, completeness, and consistency - Apply fact-checking and validation methods |
| Governance, Risk, and Responsible Use | 15% | - Understand limitations and ethical boundaries - Manage data sensitivity and privacy risks - Apply responsible AI principles and policies |
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NEW QUESTION # 33
Your conversation context has grown long, and the model is producing inconsistent outputs.
Which context-management step should be performed first?
Answer: C
Explanation:
Option C is the appropriate first step because summarization compresses a lengthy and potentially conflicting conversation into a clear working state. The summary should retain the current objective, confirmed decisions, relevant facts, active constraints, required output format, unresolved questions, and the next action Claude must perform. Obsolete instructions, rejected alternatives, and repetitive discussion should be removed.
Option A does not directly address the cause of the inconsistency. A more capable model may still struggle when the conversation contains conflicting requirements or excessive irrelevant material. Option B provides no corrective action and allows the context problem to continue. Option D may eventually be necessary, but immediately moving to a new conversation risks losing important information or reproducing the same confusion if the essential context has not first been identified.
After producing the summary, the user should compare it with the original requirements and correct any omissions. The validated summary can then be reasserted in the current conversation. If performance remains inconsistent, it can serve as the starting context for a new chat. This staged approach preserves useful progress while reducing context noise and limiting unnecessary repetition.
NEW QUESTION # 34
A finance manager is about to discuss a confidential pre-announcement figure with Claude.
Which two settings best align with sound privacy practice for this conversation? (Select two.) Each correct answer presents a complete solution.
Answer: A,C
Explanation:
Under the objective Apply data, privacy sensitivity, regulatory policies, and privacy considerations , managing confidential or market-sensitive figures requires controlling memory persistence and data retention settings.
Pre-announcement financial figures represent material non-public information (MNPI) that must not persist beyond the immediate analytical session. Option E applies privacy controls by utilizing Incognito mode, which ensures the session does not contribute to long-term memory or persist in chat history. Option B achieves the same data protection control in standard chat by explicitly toggling off Memory contributions, ensuring the sensitive number is not saved into persistent memory where it could leak into future unrelated prompts. Conversely, proceeding with default settings (Option A), assuming brief discussions avoid retention (Option C), or enabling persistent memory retention for confidential figures (Option D) creates serious compliance and insider data exposure risks.
NEW QUESTION # 35
A Claude associate is applying the AI Fluency Framework Diligence competency to ongoing Claude usage.
Which practice best reflects Diligence in a governance context?
Answer: C
Explanation:
Answer A is correct. Within the AI Fluency Framework, Diligence means taking responsibility for how AI is used and for the consequences of that use. In a governance context, this requires employees to apply organizational policies consistently during everyday work, monitor whether actual practices remain aligned with those policies, and correct deficiencies when they are identified. Governance is therefore an ongoing operational responsibility rather than a one-time administrative exercise.
Option B is incorrect because compliance cannot be limited to visible or formally reviewed activities.
Selective application creates unmanaged risks and indicates that governance has not become part of normal professional conduct. Option C describes useful onboarding and documentation activities, but completing training does not demonstrate continuing compliance. Policies must also be followed during real tasks and revisited as workflows, risks, and organizational requirements change. Option D is incorrect because a compliance team can define standards and provide oversight, but individual users remain responsible for applying those standards when using Claude.
The strongest practice combines consistent policy application, active identification of gaps, and corrective action over time. Anthropic defines Diligence as taking responsibility for what people do with AI and how they do it, which directly supports Answer A. Anthropic AI Fluency Framework
NEW QUESTION # 36
An HR associate is preparing to use Claude on a sensitive personnel matter. The organization's AI policy explicitly states that information related to ongoing investigations must not be entered into AI tools.
Which response best aligns with the policy?
Answer: C
Explanation:
Under the objective Apply data, privacy sensitivity, regulatory policies, and privacy considerations , compliance with explicit organizational AI governance and data boundary mandates is mandatory.
When corporate policy strictly prohibits entering information concerning active personnel investigations into AI tools, employees must fully adhere to that boundary without attempting informal workarounds. Option B correctly enforces compliance: immediately refraining from submitting any investigation-related text to Claude and escalating to HR leadership to determine authorized, conventional processing channels.
Attempting to bypass the rule via Incognito mode (Option C) or informal paraphrasing/anonymization (Option D) violates the explicit governance mandate and risks data spillage in legally sensitive matters.
Assuming the data can simply be entered once closed (Option A) ignores enduring confidentiality requirements.
NEW QUESTION # 37
You are a knowledge manager structuring source material in the context window for a long Claude evaluation task.
Which two practices produce a more effective use of the context window? (Select two.) Each correct answer presents a complete solution.
Answer: D,E
Explanation:
Under the objective Organize and curate information for optimal outputs and select appropriate output formats , structuring reference documents effectively within the context window ensures high-fidelity retrieval and accurate source attribution.
Option B highlights the standard prompt engineering practice of using distinct structural delimiters (such as XML tags like < doc_1 > , < policy > , or Markdown code fences). Delimiters allow Claude to distinguish cleanly between different source boundaries, instructions, and inputs, minimizing attribution errors. Option E leverages positional attention dynamics (addressing the "lost in the middle" phenomenon), where LLMs tend to recall and attend most accurately to information positioned at the very beginning (primacy effect) or at the end (recency effect) of the context window. Conversely, dumping uncurated text (Option A) adds noise and consumes quota, repeating instructions excessively (Option C) wastes tokens without improving adherence, and blending documents into an unstructured blob (Option D) obscures citation provenance.
NEW QUESTION # 38
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