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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Output Evaluation and Validation | 21% | - Identify hallucinations, inconsistencies, and biases in responses - Evaluate Claude-generated outputs for accuracy and completeness - Apply fact-checking and validation techniques - Organize and curate information and select appropriate output formats - Edit and adapt outputs for the intended audience - Determine when human review or additional verification is required |
| Topic 2: Prompting and Task Execution | 14% | - Apply task decomposition techniques to structure complex requests - Create effective prompts for business and technical tasks - Adapt prompting strategy by task type - Iterate prompts to improve output quality |
| Topic 3: Troubleshooting and Optimization | 10% | - Identify and diagnose issues with underperforming prompts or poor outputs - Adjust approaches based on feedback and results - Optimize workflows for efficiency and effectiveness |
| Topic 4: Workflow Integration and Solution Design | 16% | - Analyze requirements and use cases - Use Claude for research, planning, and process optimization - Support solution design through iteration - Integrate Claude into existing workflows and communicate its value and limitations |
| Topic 5: Configuration and Knowledge Management | 12% | - Maintain and update configurations - Manage uploaded knowledge and connectors - Configure Claude Projects with instructions and knowledge sources - Create effective system-level instructions |
| Topic 6: Product and Model Selection | 12% | - Align model selection with task requirements - Select appropriate Claude product features - Manage context limitations and memory - Differentiate between Claude model types |
| Topic 7: Governance, Risk, and Responsible Use | 15% | - Follow organizational AI policies and governance standards - Apply data sensitivity, regulatory, and privacy considerations - Understand ethical implications of Claude use - Identify appropriate and inappropriate use cases |
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NEW QUESTION # 59
You are a marketing manager deciding what to include in custom instructions for a writing-focused Project.
Which two items belong in the custom instructions? (Select two.)
Each correct answer presents a complete solution.
Answer: B,D
NEW QUESTION # 60
You are a communications specialist preparing to describe Claude's role in a workflow to multiple stakeholder groups and must complete the preparation steps before drafting messages.
Which two preparation steps must be completed BEFORE drafting the stakeholder messages? (Select two.) Each correct answer presents part of the solution.
Answer: A,D
Explanation:
Under the Claude objective Communicate Claude's value and limitations to stakeholders , crafting effective change-management and enablement communications requires establishing core positioning and audience segmentation prior to drafting content.
Before composing stakeholder updates, the specialist must first define the core ground truth: what specific operational role Claude plays, what tasks it augments, and what strict boundaries or limitations exist (Option C), including human review requirements and non-delegable tasks. Simultaneously, the specialist must segment audience cohorts (e.g., leadership, end users, compliance teams) to identify their distinct concerns, technical familiarity, and required takeaways (Option B). Establishing these two pillars ensures that communications are accurate, targeted, and set realistic expectations. Post-drafting activities such as sending materials (Option D), archiving (Option A), or hosting follow-up forums (Option E) occur only after foundational messaging is developed.
NEW QUESTION # 61
You are an operations team member preparing inputs to summarize customer feedback. The feedback file mixes public quotations with personal contact details.
Which preparation approach is most appropriate?
Answer: D
Explanation:
Option D follows data-minimization and purpose-limitation principles. The task requires analysis of customer feedback, not access to customer contact information. The appropriate preparation process is therefore to retain the feedback statements needed for the analysis while removing names, email addresses, telephone numbers, account identifiers, and other unnecessary personal information.
Option A removes the useful content while retaining the sensitive data, directly reversing the correct handling approach. Option B exposes unnecessary personal information merely to provide more context. Option C discards the genuine feedback and invites Claude to fabricate replacement content, producing an unreliable summary. Redaction or anonymization preserves the analytical value of the input while reducing privacy exposure and limiting the consequences of unauthorized disclosure.
Anthropic advises users to be thoughtful about sharing highly sensitive personal or confidential information.
Its implementation guidance also recommends removing personally identifiable information unless it is explicitly required and authorized. Redaction does not override organizational policy: the user must still confirm that the approved Claude environment, access controls, contractual terms, retention settings, and intended purpose permit the remaining data to be processed. Anthropic's sensitive-data guidance
NEW QUESTION # 62
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: A
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 # 63
You are a knowledge worker preparing inputs for a Claude prompt.
Which data type most clearly requires extra handling such as redaction or anonymization before being included in the prompt?
Answer: B
Explanation:
Under the objective Apply data, privacy sensitivity, regulatory policies, and privacy considerations , enterprise data protection policies require strict tiering of data assets based on sensitivity and regulatory mandates (such as GDPR, PCI-DSS, and HIPAA).
Customer government identifiers (e.g., SSN, National Insurance number) combined with full payment card numbers and individual names (Option B) represent highly sensitive Personally Identifiable Information (PII) and protected financial data. Ingesting this data into AI prompts without masking, tokenization, or redaction introduces severe compliance violations and data privacy risks. In contrast, published corporate press releases (Option A), publicly accessible executive job titles (Option C), and public marketing product descriptions (Option D) are public information assets that require no anonymization or redaction before prompt inclusion.
NEW QUESTION # 64
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