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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Output Evaluation and Validation | 21% | - Editing, adapting, and refining outputs - Determining when human review or verification is required - Fact-checking and validation - Evaluating output accuracy and completeness - Identifying hallucinations, inconsistencies, and bias |
| Topic 2: Troubleshooting and Optimization | 10% | - Adjusting approaches based on feedback and results - Diagnosing underperforming prompts and outputs - Optimizing workflows for efficiency and effectiveness |
| Topic 3: Configuration and Knowledge Management | 12% | - Configuring Claude Projects - Managing uploaded knowledge and connectors - Managing instructions and knowledge sources - Maintaining configuration and knowledge sources |
| Topic 4: Prompting and Task Execution | 14% | - Creating effective prompts - Task decomposition - Iterating prompts to improve output - Adapting prompting strategies to task types |
| Topic 5: Workflow Integration and Solution Design | 16% | - Research, planning, and process optimization - Solution design and iteration - Integrating Claude into existing workflows - Communicating Claude's value and limitations - Analyzing requirements and use cases |
| Topic 6: Product and Model Selection | 12% | - Selecting Claude models - Managing context limitations and memory - Selecting appropriate Claude product features - Balancing quality, speed, and cost |
| Topic 7: Governance, Risk, and Responsible Use | 15% | - Organizational AI governance and policies - Identifying appropriate and inappropriate AI use cases - Ethical and responsible AI use - Data sensitivity, privacy, and regulatory considerations |
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NEW QUESTION # 96
You are a project manager reviewing stakeholder messages that teammates have drafted about Claude's role in a workflow.
Which two messages are appropriate for stakeholder communication about Claude? (Select two.) Each correct answer presents part of the solution.
Answer: A,D
Explanation:
Options C and D are correct because responsible stakeholder communication must accurately describe Claude' s role, human accountability, and the integration's limitations. Stakeholders should understand which activities Claude performs, which outputs require verification, who retains decision authority, and what happens when the model produces uncertain, incomplete, biased, or incorrect results. Known failure modes and escalation paths should be communicated in language appropriate to the audience.
Anthropic's AI Fluency Framework defines Diligence as taking responsibility for what people do with AI and how they do it. Anthropic's research also identifies honesty about AI's role and consideration of the consequences of sharing AI-generated work as important AI Fluency behaviours. These principles support transparent descriptions rather than exaggerated capability claims.
Options A and B are inappropriate absolutes. Claude can make factual errors or produce outputs inconsistent with supplied context, so human review cannot be categorically removed. Option E is too vague to support informed trust, accountability, or effective governance. Appropriate communication should neither overstate Claude's reliability nor obscure its contribution. It should describe Claude as a capable assistant operating within defined boundaries, with humans maintaining responsibility for consequential decisions and quality control. See Anthropic's AI Fluency Framework and AI Fluency Index .
NEW QUESTION # 97
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: B,E
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 # 98
An analyst is working in a long Claude conversation. The conversation contains roughly 60 turns covering an initial requirements analysis, several rounds of data review, and a current drafting phase. Recent responses have started to drift from the agreed requirements.
Which step most directly addresses the drift while preserving the analyst's progress?
Answer: B
Explanation:
Option D most directly corrects the observed drift while preserving the work already completed. The conversation contains valuable requirements, validated data findings, and drafting decisions, but those elements are distributed across approximately 60 turns. A structured summary consolidates the authoritative working state and brings the most important instructions back into Claude's immediate attention.
The summary should distinguish confirmed requirements from abandoned ideas, record the principal findings from the data review, identify the current draft version, and restate outstanding work. Reasserting that summary as the governing context gives Claude a clearer foundation for subsequent revisions.
Option A assumes that context-window size alone resolves drift. A larger window can retain more tokens, but it does not automatically remove contradictory instructions or emphasize the correct requirements. Option B preserves the draft but discards the reasoning and requirements needed to evaluate it. Option C could support future recurring work, particularly when sources must persist across conversations, but restructuring the workflow into a Project is not the most direct initial response to the current drift.
If the summarized context does not restore output quality, the analyst can start a new conversation using that validated summary and the necessary source materials.
NEW QUESTION # 99
An HR business partner is configuring two separate Projects for two distinct client engagements.
Which configuration best prevents context bleed between the two engagements?
Answer: B
Explanation:
Under the Claude objective Configure Claude Projects with instructions and knowledge sources , preventing context bleed and data crossover between distinct clients is a critical privacy, security, and project governance requirement. Projects in Claude serve as isolated contextual containers designed to compartmentalize project-specific knowledge files, custom system instructions, and chat histories.
Option A correctly implements strict boundary isolation by creating dedicated, independent Projects for each client engagement. By giving each Project its own discrete knowledge base and unique system prompt, reference material and conversational state from one client remain entirely inaccessible to the other. In contrast, combining client documentation into a single shared Project (Option B) or sharing memory configurations across workstreams (Option C) directly causes cross-tenant contamination and context bleed.
Similarly, using unstructured general chats without Project containers (Option D) lacks scoped memory and persistence boundaries, significantly elevating operational and confidentiality risks.
NEW QUESTION # 100
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: A
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 # 101
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