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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Workflow Integration and Solution Design | 16% | - Use Claude for research, planning, and process optimization - Support solution design through iteration - Integrate Claude into existing workflows and communicate its value and limitations - Analyze requirements and use cases |
| Topic 2: Product and Model Selection | 12% | - Align model selection with task requirements - Differentiate between Claude model types - Select appropriate Claude product features - Manage context limitations and memory |
| 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: Governance, Risk, and Responsible Use | 15% | - Follow organizational AI policies and governance standards - Apply data sensitivity, regulatory, and privacy considerations - Identify appropriate and inappropriate use cases - Understand ethical implications of Claude use |
| Topic 5: Configuration and Knowledge Management | 12% | - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Manage uploaded knowledge and connectors - Create effective system-level instructions |
| Topic 6: Prompting and Task Execution | 14% | - Apply task decomposition techniques to structure complex requests - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks - Adapt prompting strategy by task type |
| Topic 7: Output Evaluation and Validation | 21% | - Evaluate Claude-generated outputs for accuracy and completeness - Edit and adapt outputs for the intended audience - Determine when human review or additional verification is required - Apply fact-checking and validation techniques - Identify hallucinations, inconsistencies, and biases in responses - Organize and curate information and select appropriate output formats |
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NEW QUESTION # 147
You are an HR specialist sorting potential ethical risks of a Claude-supported workflow.
Which two risks pose the highest ethical concern in an HR-adjacent workflow? (Select two.) Each correct answer presents a complete solution.
Answer: A,B
Explanation:
Under the objective Understand ethical implications of AI usage , evaluating HR workflows requires identifying systemic harms, legal compliance liabilities, and threats to employee rights.
Option A highlights the ethical danger of autonomous algorithmic decision-making: delegating high-stakes determinations (such as termination, performance ratings, or compensation) to an AI system without accountable human oversight violates fundamental fairness and labor ethics. Option E represents severe algorithmic bias and discrimination: generating outputs that systematically disadvantage candidates or employees based on protected characteristics (e.g., race, gender, age, disability). Both scenarios represent critical ethical risks. Conversely, minor clerical typos in calendar invites (Option B), formatting irregularities in general announcements (Option C), and punctuation style inconsistencies (Option D) are minor operational defects that carry zero ethical or regulatory consequences.
NEW QUESTION # 148
A finance consultant is adapting a Claude-generated narrative for a quarterly investor update. Investors have a fixed time window for the call and expect the headline result and forward outlook to be clear early.
Which adaptation is most appropriate for this audience?
Answer: C
Explanation:
Under the objective Edit, adapt, refine, and compare the output generated by Claude model(s) for the intended audience (Domain 2: Output Evaluation and Validation), adapting generated text requires restructuring content to match the executive decision-making style of the stakeholders.
Executive and investor audiences operate under strict time constraints and prioritize the bottom-line financial outcome before examining underlying mechanics (following the Minto Pyramid / Bottom-Line-Up-Front principle). Option C correctly structures the executive narrative: opening immediately with the headline financial figures, following with a concise breakdown of key operational drivers, and concluding with forward-looking guidance. Structuring the briefing chronologically (Option D) or burying core financial results in the middle of operational prose (Option A) creates cognitive friction and wastes time. Leading with the forward outlook before establishing current financial performance (Option B) lacks context.
NEW QUESTION # 149
Before uploading a customer file for a Code Execution analysis, a customer-success associate at Noventra, Ltd. is reviewing the planned task.
Which two practices best align with sound data handling? (Select two.)
Answer: C,D
Explanation:
Options B and E apply organizational governance and data-minimization requirements before the file enters Claude's execution environment. The associate must first establish whether Code Execution is an approved processing method for the file's classification. If the information exceeds the approved sensitivity level, the user must escalate to privacy, security, legal, or another designated authority rather than proceeding independently.
The file must also be inspected for customer identifiers, confidential fields, regulated information, credentials, or data unrelated to the calculation. Unnecessary fields should be removed, redacted, or anonymized. A sandbox limits interaction with the surrounding system, but it does not change the sensitivity of uploaded data, provide authorization, or override the organization's handling rules. Therefore, Options C and D incorrectly treat technical isolation as a governance exemption. Option A allows urgency to displace mandatory review.
Anthropic explains that Code Execution runs in an isolated container, while also warning that file-processing configurations and network access create security considerations. Its privacy guidance recommends careful treatment of highly sensitive personal and confidential information. The correct control is to minimize and authorize the data before uploading it, not rely solely on the sandbox afterward. Anthropic's Code Execution security guidance
NEW QUESTION # 150
An support representative is configuring a Project for drafting customer-facing apology emails after service outages. The current custom instructions tell Claude to "be empathetic and casual, keep it short, and offer a goodwill credit." The customer-service team has flagged that recent drafts have been too brief, have offered goodwill credits in cases where policy does not allow them, and have used contractions that the brand voice guide prohibits.
Which adjustment best aligns the configuration to the use case?
Answer: C
Explanation:
Under the Claude objective Configure Claude Projects with instructions and knowledge sources , effective project configuration requires replacing vague, conflicting directives with explicit operational boundaries and grounded criteria. In this scenario, the root causes of underperformance are conflicting requirements: the prompt requests a "casual" tone while brand guidelines prohibit contractions, asks Claude to
"keep it short" leading to overly brief outputs, and unconditionally directs it to "offer a goodwill credit" without verifying eligibility criteria.
Option C properly resolves all three deficiencies directly within the project instructions. First, it explicitly operationalizes the tone attributes (empathetic, formal, avoiding contractions) rather than relying on ambiguous descriptors. Second, establishing concrete length constraints (such as minimum paragraph or sentence counts) prevents the model from generating under-scoped drafts. Third, it conditions the business logic-instructing Claude to evaluate goodwill credit awards against the attached policy document in the Project knowledge base. In contrast, relying solely on uploaded knowledge files without aligning custom instructions (Options B and D) leads to prompt collisions, while Option A removes necessary policy guidance altogether.
NEW QUESTION # 151
A knowledge worker has noticed that the same prompt for a recurring weekly task produces inconsistent outputs across runs. Some weeks the output uses the right sections but the wrong tone; other weeks the tone is right but a section is missing. The source inputs change each week but follow the same structure.
Which cause is most worth investigating first?
Answer: D
Explanation:
Answer A is correct. The pattern shows inconsistent compliance with requirements that should have been stated explicitly: the audience, tone, output structure, and mandatory sections. If those requirements are vague or implied, Claude may emphasize different aspects of the request across runs, especially as the weekly source content changes. The first troubleshooting step should therefore be to inspect the prompt and convert each expectation into a clear, testable instruction.
Option B is incomplete. Model outputs can vary, but non-determinism should not be used to excuse recurring failures to satisfy defined requirements. Strong prompts and evaluation criteria can substantially reduce unacceptable variation. Option C is less likely because the weekly inputs follow the same structure; changing facts alone should not cause required sections or tone instructions to disappear. Option D adds unnecessary workflow complexity. Claude can follow tone and structural requirements within one prompt when those requirements are clearly separated and explicitly defined.
The prompt should identify the intended audience, prescribe the tone, list every required section, specify the output format, and state that no section may be omitted. Anthropic recommends clear, direct instructions and precise output constraints, particularly when order or completeness matters. Anthropic prompting best practices
NEW QUESTION # 152
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