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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompting and Task Execution | 14% | - Create effective prompts for business and technical tasks - Adapt prompting strategies by task type - Iterate prompts to improve output quality - Apply task decomposition to structure complex requests |
| Topic 2: Product and Model Selection | 12% | - Match model capabilities to task requirements - Understand model differences and use cases - Select appropriate Claude product features |
| Topic 3: Governance, Risk, and Responsible Use | 15% | - Manage data sensitivity and privacy risks - Understand limitations and ethical boundaries - Apply responsible AI principles and policies |
| Topic 4: Troubleshooting and Optimization | 10% | - Diagnose context and performance issues - Identify causes of poor or unexpected outputs - Adjust prompts and configuration to improve results |
| Topic 5: Configuration and Knowledge Management | 12% | - Manage knowledge sources and context - Configure Claude Projects with instructions - Maintain consistent system-level behavior |
| Topic 6: Workflow Integration and Solution Design | 16% | - Integrate Claude into existing business workflows - Plan end-to-end Claude-augmented workflows - Design AI-assisted processes and solutions |
| Topic 7: Output Evaluation and Validation | 21% | - Evaluate outputs for accuracy, completeness, and consistency - Apply fact-checking and validation methods - Determine when human review is required - Detect hallucinations, biases, and inconsistencies |
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27. Frage
When refining a Claude output that does not meet expectations, which iterative refinement step should be performed first?
Antwort: C
Begründung:
Answer D is correct. Iterative refinement should begin by diagnosing the current output against the original requirements. The reviewer must identify specific weaknesses such as missing information, unsupported claims, incorrect tone, poor organization, excessive length, or failure to follow the requested format. This diagnosis provides evidence for deciding what must change in the prompt.
After identifying the weaknesses, the reviewer can modify the prompt to address them, which corresponds to Option C. The revised prompt is then submitted and the resulting output captured, as described in Option A.
Finally, the new output is compared with the original criteria to determine whether the revision improved performance, as stated in Option B. The logical sequence is therefore D, C, A, and B.
Beginning with prompt modification before diagnosing the failure encourages random changes and makes it difficult to determine which revision produced an improvement. Similarly, a new output cannot be submitted or evaluated before a targeted revision has been created. Anthropic's guidance recommends defining clear success criteria, evaluating results against those criteria, and using a structured self-correction process:
generate a draft, review it, and then refine it based on identified deficiencies. Effective iteration is therefore diagnostic and evidence-based rather than trial and error. Anthropic prompting best practices
28. Frage
You are evaluating a Claude output that appears to contain hallucinated content.
Which response step should be performed first when a hallucination is suspected?
Antwort: C
Begründung:
Under the objective Identify hallucinations, inconsistencies, and biases in responses , diagnosing potential generative errors requires structured evidence validation before taking corrective action.
The first diagnostic step is claim isolation: carefully examining the output to pinpoint the exact statement, metric, or entity that appears unsupported by the provided source context or verified reality (Option D).
Pinpointing the specific defect allows the reviewer to compare it directly against the source data to confirm whether it is an actual hallucination, an ungrounded inference, or a valid synthesis. Discarding the entire output without identifying the error (Option A) prevents root-cause analysis and wastes working iterations.
Logging risks (Option B) or broadcasting notifications to users (Option C) are secondary actions that occur only after the defect has been isolated and confirmed.
29. Frage
You are organizing connected data sources for a team and must complete the planning steps before authorizing any connection.
Which two planning steps must be completed BEFORE authorizing a new Connector? (Select two.) Each correct answer presents part of the solution.
Antwort: B,D
Begründung:
Options A and D are correct because Connector authorization creates a security and data-governance boundary. Before connecting a service, the team must confirm that the provider is trusted and approved under organizational vendor-management requirements. It must also determine what data Claude could access, how that data is classified, and whether the proposed users have legitimate permission to use it.
Anthropic explains that Connectors can retrieve data and take actions in connected services. Claude inherits the user's source-system permissions, while custom Connectors may connect to services that Anthropic has not verified. Anthropic therefore advises users to connect only to trusted servers, carefully review requested permissions, minimize unnecessary scopes, and remain aware that connected tools may read, modify, or delete data. These considerations directly support approved-vendor and data-authorization checks.
Training may be necessary before rollout, but it does not have to be completed before the authorization decision itself. Decommissioning legacy Connectors and migrating reports are implementation or lifecycle activities that ordinarily follow approval and transition planning. They do not replace the initial trust, classification, and permission assessment. Therefore, A and D are the required pre-authorization controls. See Anthropic's Connector overview and custom Connector security guidance .
30. Frage
You are an analyst reviewing a Claude response that addresses two of three required questions and skips the third.
Which prompt element most likely needs strengthening?
Antwort: C
Begründung:
Under the objective Identify, diagnose, and resolve issues with underperforming prompts and/or poor outputs , diagnosing incomplete outputs requires mapping the specific failure mode directly to the corresponding prompt component.
When a model reliably answers some inquiries but completely omits another, the root cause is typically prompt ambiguity or buried instructions within dense prose. Strengthening the core task statement by explicitly enumerating the required deliverables (e.g., using numbered lists or tagged XML blocks like < question_1 > , < question_2 > , < question_3 > ) and mandating a complete response for each item (Option D) provides clear structural constraints that prevent omissions. Adding generic background context (Option A), changing persona framing (Option C), or relaxing output formatting constraints (Option B) fails to address the underlying instruction-following issue.
31. Frage
A Claude associate is evaluating a proposed use case in which Claude would issue final hiring decisions without any human review, applying the AI Fluency Framework Delegation competency.
Which classification best reflects Delegation principles?
Antwort: A
Begründung:
Under the objective Understand ethical implications of AI usage and the AI Fluency Framework Delegation competency, determining autonomous task suitability depends on assessing human consequence, ethical responsibility, and legal accountability.
Hiring decisions directly impact individuals' careers, livelihoods, and civil rights, carrying substantial legal, moral, and organizational consequences. Delegation principles strictly classify autonomous employment, promotion, and termination determinations as non-delegable tasks that must remain under human ownership (Option A). Human judgment, context discernment, and legal accountability cannot be offloaded to an algorithmic model. Sample-based after-the-fact reviews (Option B) or delegating fully in pursuit of processing efficiency (Option C) violate responsible AI governance. Furthermore, classifying the prohibition as merely an issue of system technical reliability (Option D) ignores the fundamental imperative of ethical and human accountability.
32. Frage
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