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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompting and Task Execution | 14% | - Adapt prompting strategies by task type - Iterate prompts to improve output quality - Apply task decomposition to structure complex requests - Create effective prompts for business and technical tasks |
| Topic 2: Governance, Risk, and Responsible Use | 15% | - Manage data sensitivity and privacy risks - Understand limitations and ethical boundaries - Apply responsible AI principles and policies |
| Topic 3: Product and Model Selection | 12% | - Understand model differences and use cases - Match model capabilities to task requirements - Select appropriate Claude product features |
| Topic 4: Output Evaluation and Validation | 21% | - Apply fact-checking and validation methods - Determine when human review is required - Detect hallucinations, biases, and inconsistencies - Evaluate outputs for accuracy, completeness, and consistency |
| Topic 5: Configuration and Knowledge Management | 12% | - Maintain consistent system-level behavior - Configure Claude Projects with instructions - Manage knowledge sources and context |
| Topic 6: Workflow Integration and Solution Design | 16% | - Plan end-to-end Claude-augmented workflows - Integrate Claude into existing business workflows - Design AI-assisted processes and solutions |
| Topic 7: Troubleshooting and Optimization | 10% | - Diagnose context and performance issues - Adjust prompts and configuration to improve results - Identify causes of poor or unexpected outputs |
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94. 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 .
95. Frage
You are a knowledge worker who decomposed a "draft a board memo" request into fifteen tiny steps and noticed the output now feels disjointed because related ideas were split apart.
Which adjustment is most appropriate?
Antwort: D
Begründung:
Task decomposition is valuable only when the resulting stages represent meaningful, logically connected units of work. Here, dividing a board memo into fifteen extremely small steps has fragmented related ideas and weakened the document's narrative coherence. Option B corrects over-decomposition by combining naturally connected activities into broader sections, such as framing the decision, analyzing evidence, presenting risks, and stating the recommendation.
Option A removes dependency order entirely, which would make the workflow less reliable. Option C intensifies the existing problem by creating even smaller fragments. Option D goes too far in the opposite direction by discarding all useful structure. The appropriate solution is neither maximal decomposition nor a single unstructured instruction; it is a limited number of cohesive stages with clear dependencies.
Anthropic explains that explicit prompt chaining is useful when intermediate outputs must be inspected or when a specific pipeline structure is required. However, its guidance also warns against unnecessary delegation and overengineering when simpler direct work preserves context more effectively. The correct granularity should therefore improve control and reviewability without separating ideas that must be developed together. Anthropic's prompting best practices
96. Frage
You are a product manager asking Claude to produce an interactive prototype of a small landing-page mockup that the team will iterate on and share.
Which Claude feature is best suited to this output?
Antwort: D
Begründung:
Option C is correct because an Artifact is designed for substantial, self-contained output that users need to inspect, edit, preview, and refine separately from the surrounding conversation. A landing-page prototype- particularly one containing HTML, CSS, JavaScript, or an interactive component-is more usable in a dedicated Artifact workspace than as code buried inside a chat response.
Artifacts support iterative development. The product manager can ask Claude to change the layout, copy, colors, component behavior, or responsive structure while maintaining a recognizable working version. The resulting prototype can also be reviewed or shared more effectively because it is presented as a distinct deliverable rather than as part of the conversation transcript.
Option A is a research workflow and would be appropriate for gathering sourced information about competitors, not for producing the prototype itself. Option B provides no dedicated editing or preview environment and makes repeated revisions harder to manage. Option D could preserve recurring instructions and reference materials, but a Project is a contextual workspace rather than the output format for the prototype.
A Project and an Artifact can be used together: the Project supplies persistent product requirements and design references, while the Artifact contains the actual prototype that the team iterates on.
97. Frage
You are an operations manager preparing a quick reference card for a team.
Which description correctly characterizes the three Claude model tiers in general terms?
Antwort: C
Begründung:
Under the objective Differentiate between Claude model types (e.g., Haiku, Sonnet, Opus) (Domain 3:
Product and Model Selection), Anthropic structures its model family across three clear tiers of intelligence, latency, and cost:
* Claude Haiku : The fastest, most cost-efficient, and lightweight model designed for high-volume, low- latency tasks and simple classification.
* Claude Sonnet : The balanced, versatile enterprise workhorse combining high intelligence and throughput for everyday knowledge-work tasks.
* Claude Opus : The frontier model offering deep reasoning and analytical capacity for complex, multi- step problem solving at higher latency and operational cost.
Option C perfectly summarizes these structural trade-offs. Options A, B, and D misrepresent the capability hierarchy, speed profiles, and architectural tiering of the Claude family.
98. Frage
While preparing stakeholder communication about a proposed Claude use case, a senior manager is applying the AI Fluency Framework Description competency.
Which framing best reflects Description principles for stakeholder communication?
Antwort: A
Begründung:
Option C is correct because effective Description communicates the intended product, process, and collaborative expectations accurately. Stakeholders need to know what Claude will do, what inputs it requires, which outputs it can produce reliably, where errors or limitations may occur, and which decisions or reviews remain under human ownership. The explanation should be calibrated to the audience: executives may need business value and risk boundaries, while operational or technical users may require workflow details and validation requirements.
Option A conceals a material governance control and could lead stakeholders to misunderstand Claude's autonomy. Option B is not responsible simply because it is conservative; systematically understating capabilities can produce poor decisions and unjustified resistance. Option D is plainly inappropriate because exaggerated claims create unrealistic expectations and weaken informed oversight.
Anthropic defines Description as effectively communicating goals to produce useful AI behaviour and outputs. Its guidance distinguishes Product Description, Process Description, and Performance Description.
Transparent stakeholder framing also supports Diligence by preserving accountability for how AI is represented and used. Therefore, balanced communication about capabilities, limitations, and human oversight is the only defensible framing. See Anthropic's AI Fluency Description lesson and AI Fluency Framework .
99. Frage
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