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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Workflow Integration and Solution Design | 16% | - Use Claude for research, planning, and process optimization - Analyze requirements and use cases - Integrate Claude into existing workflows and communicate its value and limitations - Support solution design through iteration |
| Topic 2: 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 3: Output Evaluation and Validation | 21% | - Evaluate Claude-generated outputs for accuracy and completeness - Apply fact-checking and validation techniques - Identify hallucinations, inconsistencies, and biases in responses - 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 4: Governance, Risk, and Responsible Use | 15% | - Apply data sensitivity, regulatory, and privacy considerations - Understand ethical implications of Claude use - Identify appropriate and inappropriate use cases - Follow organizational AI policies and governance standards |
| Topic 5: Configuration and Knowledge Management | 12% | - Manage uploaded knowledge and connectors - Create effective system-level instructions - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources |
| Topic 6: 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 7: Prompting and Task Execution | 14% | - Apply task decomposition techniques to structure complex requests - Adapt prompting strategy by task type - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks |
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48. Frage
An associate is responding to an executive who claims that Claude will eliminate the need for any human review on customer-facing content. The executive is the budget approver for the team's AI tools.
Which response is most appropriate?
Antwort: A
Begründung:
Under the objective Communicate Claude's value and limitations to stakeholders (Domain 4: Workflow Integration and Solution Design), business professionals must balance diplomacy with responsible AI stewardship when engaging leadership.
Option D provides the professional and grounded response: it validates the executive's enthusiasm for AI efficiency and productivity acceleration, while clearly framing why human-in-the-loop oversight is non- negotiable for external, customer-facing deliverables. Providing concrete examples of hallucination risks, brand alignment nuances, and liability considerations grounds the explanation in business risk management.
Deferring to authority and eliminating human checks (Option C) or experimenting on live customers without review (Option B) creates severe reputational and commercial exposure. Bypassing the executive to escalate externally (Option A) damages working relationships and avoids direct stakeholder management.
49. Frage
You are a project manager reviewing Claude usage approaches that teammates have proposed for a project workflow.
Which two workflow steps are well-suited for Claude support? (Select two.) Each correct answer presents a complete solution.
Antwort: A,D
Begründung:
Under the objective Identify appropriate and inappropriate use cases , determining suitable application domains hinges on evaluating AI capabilities against risk severity and the presence of human oversight.
Claude excels at information extraction, multi-document synthesis, and structured text generation.
Synthesizing complex findings from multiple research papers (Option D) and compiling meeting notes into organized, structured status summaries (Option E) are classic high-leverage knowledge-work tasks that streamline team operations while keeping final outputs subject to team review. Conversely, allowing an AI model to autonomously authorize external corporate press releases without human sign-off (Option A), bind an organization to contractual liabilities (Option B), or determine career-altering personnel promotions (Option C) represents dangerous and inappropriate delegation that violates responsible AI principles, legal compliance, and human accountability standards.
50. Frage
You are a knowledge worker evaluating which Claude feature matches each proposed use case.
Which two feature-to-use-case matches are appropriate? (Select two.)
Each correct answer presents a complete solution.
Antwort: A,E
Begründung:
Option A appropriately uses Claude's long-context capabilities for a task involving many source documents.
A quarterly report may require Claude to compare evidence across financial results, operational updates, customer information, and prior reporting periods. Supplying the relevant sources in a well-organized context allows Claude to synthesize the material while following a consistent report structure. Source boundaries and attribution should remain clear so the final output can be validated.
Option E is also an appropriate match. A calculator or code-execution tool is suitable for complex, multi-step pricing calculations because it provides deterministic computation that can be inspected and tested. Claude can structure the calculation and interpret the result, while the tool performs the arithmetic more reliably.
Option B does not require long-context processing because a single short email can normally be handled directly in chat. Option C unnecessarily invokes web search for a stable, established formula that does not require current external information. Option D mismatches the tool to the task: simplifying product language is a writing and audience-adaptation task, not a numerical calculation.
Effective feature selection depends on the actual workload. Large source collections benefit from long-context synthesis, whereas precise arithmetic benefits from deterministic computational tools and explicit result validation.
51. Frage
You are an operations lead sorting Claude-driven research tasks by which deliver the most value.
Which two Claude-driven research tasks deliver the highest value in a typical analysis workflow? (Select two.) Each correct answer presents a complete solution.
Antwort: A,D
Begründung:
Options A and D provide the highest analytical leverage. Synthesizing a large collection of interview transcripts requires reading extensive qualitative material, finding repeated themes, comparing perspectives, and organizing evidence into a usable structure. Claude can significantly reduce the time required for this work, provided the analyst validates the themes and retains traceability to the underlying interviews.
Drafting a comparative summary from public materials is similarly valuable because Claude can organize information across multiple sources, identify meaningful differences, and create a consistent comparison framework. The reviewer must still verify factual claims, source currency, and whether important counterevidence was omitted.
Option B is primarily visual formatting work and does not capitalize on Claude's strongest language-analysis capabilities. Option C may be useful, but basic transcription is normally a narrower processing task than cross- source synthesis or comparative analysis. Option E is inappropriate because fabricated "representative" quotations could be mistaken for actual customer evidence. Claude should summarize themes or label synthetic examples explicitly, never manufacture quotations and present them as research findings.
Claude creates the greatest research value when it accelerates source-grounded synthesis while a human remains responsible for validation, interpretation, and downstream decisions.
52. Frage
You are an analyst working on a one-off complex problem that genuinely requires multi-step reasoning over an extended chain of thought.
Which model is best suited to this work?
Antwort: B
Begründung:
Among the choices provided, Opus is the appropriate model for a complex, one-off problem requiring sustained, multi-step reasoning. Opus models are designed for advanced analysis, demanding knowledge work, complex tool use, and long-horizon tasks. The additional capability is justified because the workload explicitly prioritizes reasoning quality rather than minimum latency or cost.
Option A incorrectly treats lightweight models as universally preferable. Haiku is optimized for speed and cost-sensitive, straightforward workloads, but that does not make it the best choice for every complex problem. Option B ignores genuine capability and reasoning differences between model tiers. Option D is false because the Claude lineup includes models designed for difficult reasoning tasks.
The current Claude portfolio has evolved and now includes additional high-capability models, but Opus remains the strongest valid selection among the listed answers. In production, the analyst should test representative cases and compare accuracy, latency, and cost rather than choosing solely by tier name. For this explicitly complex one-off task, however, higher reasoning capability is the dominant requirement.
Anthropic describes Opus as suited to complex analysis, enterprise work, advanced research, and deep reasoning. Anthropic's model-selection guidance
53. Frage
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