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| Section | Weight | Objectives |
|---|---|---|
| Configuration and Knowledge Management | 12% | - Manage uploaded knowledge and connectors - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Create effective system-level instructions |
| Prompting and Task Execution | 14% | - Adapt prompting strategy by task type - Apply task decomposition techniques to structure complex requests - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks |
| Troubleshooting and Optimization | 10% | - Adjust approaches based on feedback and results - Optimize workflows for efficiency and effectiveness - Identify and diagnose issues with underperforming prompts or poor outputs |
| 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 |
| Output Evaluation and Validation | 21% | - Organize and curate information and select appropriate output formats - Apply fact-checking and validation techniques - Identify hallucinations, inconsistencies, and biases in responses - 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 |
| Workflow Integration and Solution Design | 16% | - Analyze requirements and use cases - Integrate Claude into existing workflows and communicate its value and limitations - Use Claude for research, planning, and process optimization - Support solution design through iteration |
| Governance, Risk, and Responsible Use | 15% | - Identify appropriate and inappropriate use cases - Follow organizational AI policies and governance standards - Understand ethical implications of Claude use - Apply data sensitivity, regulatory, and privacy considerations |
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27. Frage
You are a product designer using Claude in a solution-design exercise.
Which solution-design step should be performed first when using Claude?
Antwort: C
Begründung:
Option C is correct because effective solution design begins by defining the problem, desired outcome, success criteria, and relevant constraints. Without this foundation, Claude may generate polished concepts that solve the wrong problem or violate important business, technical, regulatory, budgetary, or audience requirements. Anthropic's AI Fluency Delegation guidance calls this "Problem Awareness": understanding the goal and the work required before deciding how to involve AI. Its applied Delegation process likewise begins with establishing the project vision and defining what a successful result looks like before breaking the work into tasks.
After the problem and constraints are clear, Claude can productively generate diverse solution concepts, making Option A a later ideation step. Option B follows concept generation because alternatives cannot be compared until they exist and the evaluation constraints have been established. Option D comes later still, after a candidate has been evaluated and selected. Starting with mock-ups would prematurely commit effort to an unvalidated solution. Therefore, articulating the problem and constraints first creates the grounding Claude needs for relevant ideation, systematic comparison, and defensible design decisions. This sequence is consistent with Anthropic's AI Fluency Delegation guidance and Applying Delegation lesson .
28. Frage
You are evaluating proposed workflow changes against whether they meaningfully improve the workflow.
Which two proposed changes meaningfully improve a recurring Claude workflow? (Select two.) Each correct answer presents a complete solution.
Antwort: B,D
Begründung:
Under the objective Optimize workflows for efficiency and effectiveness , meaningful operational improvements must deliver measurable gains in throughput, token efficiency, or output reliability.
Option C provides major efficiency gains by moving recurring reference documentation into a persistent Claude Project knowledge base, eliminating redundant token overhead and manual copy-pasting across dozens of daily chats. Option E provides vital effectiveness and risk mitigation by establishing a standardized human-in-the-loop quality gate, preventing defective or hallucinated outputs from propagating into downstream operational pipelines. In contrast, renaming workspaces (Option A), re-labeling steps for cosmetic readability (Option B), or shuffling documentation headings (Option D) represent superficial administrative edits that do not improve execution speed, cost, or output quality.
29. Frage
A product manager is using Claude to ideate options for a new self-service portal. The team needs breadth before narrowing and will evaluate trade-offs across the options in a separate session.
Which prompting strategy fits this stage?
Antwort: C
Begründung:
Answer C is correct. The team is in a divergent ideation stage, where the objective is to explore a broad range of possibilities before selecting or prioritizing an approach. Claude should therefore generate multiple genuinely distinct portal options and identify the relevant benefits, limitations, dependencies, and trade-offs of each. The prompt should explicitly prevent premature selection of a single recommendation because evaluation and narrowing will occur in a separate session.
Option A introduces early feasibility ranking, which can anchor the team on familiar or easily implemented ideas before it has considered the full solution space. Option B immediately narrows the work to one recommendation and directly conflicts with the stated need for breadth. Option D generates several options but then asks Claude to identify a leader, which can similarly bias the team's later evaluation toward that candidate.
Separating divergent and convergent thinking improves the workflow. The first round should maximize meaningful variety and make differences between options visible. The later session can apply agreed criteria such as customer value, accessibility, implementation effort, cost, risk, and strategic alignment. Anthropic's prompting guidance emphasizes giving Claude clear success criteria, relevant context, and explicit output requirements. At this stage, success means diverse, comparable alternatives-not a final decision. Anthropic prompting best practices
30. Frage
You are sorting Claude output structural defects by which most undermines clarity.
Which structural defect most severely undermines the clarity of the output?
Antwort: D
Begründung:
Under the objective Identify hallucinations, inconsistencies, and biases in responses , evaluating output quality requires distinguishing between cosmetic formatting imperfections and critical semantic contradictions.
A contradiction between the central conclusion and the supporting factual evidence in the body (Option D) represents a critical structural and logical breakdown. This defect directly destroys the internal consistency, credibility, and actionable utility of the deliverable, potentially misleading stakeholders and causing operational errors. In contrast, unequal subheading lengths (Option A), minor cosmetic typos (Option C), or slight terminology drift across paragraphs (Option B) represent surface-level stylistic flaws that can be quickly edited without fundamentally invalidating the underlying message of the artifact.
31. Frage
A customer-success team member is reviewing a Claude-generated customer health-check report against the agreed deliverable list. The report covers all five required topics, but the renewal-risk section names only one risk factor where the deliverable specification calls for renewal risk to be assessed across pricing, product fit, and stakeholder change.
Which conclusion is best supported?
Antwort: D
Begründung:
Under the objective Evaluate Claude-generated outputs for accuracy and completeness , quality assurance involves auditing both macro-level structure (presence of required topics) and micro-level depth (thoroughness against detailed specifications).
The report successfully includes all five mandatory high-level headings, satisfying basic structural completeness. However, evaluating the internal substance of the renewal-risk section reveals an under-scoped deliverable: the specification required analyzing three distinct dimensions (pricing, product fit, and stakeholder change), but Claude addressed only one. Therefore, Option D is the accurate assessment: the artifact fulfills topical scope but lacks required operational depth and must be expanded prior to client delivery. Claiming it completely satisfies requirements (Option C) ignores explicit criteria, while labeling the entire section missing (Option B) or offloading internal QA to the customer (Option A) violates quality management standards.
32. Frage
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