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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configuration and Knowledge Management | 12% | - Maintain and update configurations - Manage uploaded knowledge and connectors - Create effective system-level instructions - Configure Claude Projects with instructions and knowledge sources |
| Topic 2: Governance, Risk, and Responsible Use | 15% | - Apply data sensitivity, regulatory, and privacy considerations - Understand ethical implications of Claude use - Follow organizational AI policies and governance standards - Identify appropriate and inappropriate use cases |
| Topic 3: Product and Model Selection | 12% | - Differentiate between Claude model types - Align model selection with task requirements - Select appropriate Claude product features - Manage context limitations and memory |
| Topic 4: Output Evaluation and Validation | 21% | - Determine when human review or additional verification is required - Identify hallucinations, inconsistencies, and biases in responses - Edit and adapt outputs for the intended audience - Apply fact-checking and validation techniques - Organize and curate information and select appropriate output formats - Evaluate Claude-generated outputs for accuracy and completeness |
| Topic 5: 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 |
| Topic 6: 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 |
| Topic 7: Workflow Integration and Solution Design | 16% | - Use Claude for research, planning, and process optimization - Integrate Claude into existing workflows and communicate its value and limitations - Support solution design through iteration - Analyze requirements and use cases |
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NEW QUESTION # 79
You are an HR specialist reviewing data items proposed for inclusion in a Claude prompt.
Which two data items are appropriate to include in a Claude prompt for a routine task? (Select two.) Each correct answer presents a complete solution.
Answer: B,D
Explanation:
Options A and B apply data minimization appropriately. The redacted job description contains the content necessary for adaptation without exposing unnecessary identifying information. Likewise, an anonymized HR- policy summary provides the policy substance required for rewriting while removing personal details. Both inputs are proportionate to routine content-generation tasks.
Options C, D, and E contain sensitive employee information. Accommodation records may reveal health or disability-related information and normally require heightened confidentiality and a clearly authorized business purpose. Named salary information is confidential compensation data. Employee identifiers and hire dates can be used to identify or profile individual workers and are unnecessary merely to personalize onboarding communications. Supplying such information would violate the principle of using only the minimum data necessary for the task.
Anthropic advises users to be thoughtful about sharing sensitive personal, health, financial, and confidential business information. Its customer-support implementation guidance also recommends removing personally identifiable information unless it is explicitly required and authorized. Organizational classification rules, approved tools, access controls, contractual terms, and applicable privacy requirements must still be followed even when information has been partially redacted. Anthropic's sensitive-data guidance
NEW QUESTION # 80
An operations assistant is using Claude to support process optimization for an existing intake workflow. The assistant has access to the current process documentation and recent cycle-time data.
Which activity best uses Claude to support this process optimization task?
Answer: D
Explanation:
Under the objective Leverage Claude for research, planning, and process optimization , using Claude for business process re-engineering relies on diagnostic synthesis grounded in empirical operational data.
Option C demonstrates the optimal collaborative use case: ingesting existing process maps alongside actual cycle-time metrics, using Claude's analytical capabilities to locate workflow bottlenecks, delays, and redundancies, and generating structured optimization proposals for human review and decision-making.
Relying on generic, ungrounded industry templates (Option A) overlooks internal operational context.
Expecting Claude to calculate exact cycle-time reductions deterministically (Option B) misuses LLMs for predictive queuing simulations. Replacing human stakeholder interviews with simulated automated AI interactions (Option D) produces ungrounded assumptions and fails change management standards.
NEW QUESTION # 81
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: B
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 # 82
A communications manager is drafting a prompt for Claude to produce a quarterly newsletter for store managers in three regions. The agreed key messages, regional details, and a prior newsletter the team liked are all available.
Which prompt approach is most likely to produce a usable first draft?
Answer: D
Explanation:
Under the objective Create effective prompts for business and technical tasks , Anthropic's core prompt engineering principle emphasizes being explicit, direct, and providing complete structural constraints rather than relying on implicit document matching.
Option D establishes all essential prompt components directly within the prompt itself: explicitly defining the target audience (store managers), geographic scope (three regions), length constraints, tone guidelines, and the core messaging points, while treating the historical newsletter as a calibrated few-shot tone reference. This explicit framing eliminates ambiguity and prevents the model from copying obsolete structure or irrelevant sections from the historical document. In contrast, Option A relies excessively on broad pattern-matching against an attachment without providing explicit parameter boundaries in the prompt body. Option B lacks structural and tonal detail, while Option C delegates tone and length decisions entirely to the model.
NEW QUESTION # 83
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: A,C
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 # 84
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