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| Section | Weight | Objectives |
|---|---|---|
| Governance, Risk, and Responsible Use | 15% | - Organizational AI governance and policies - Data sensitivity, privacy, and regulatory considerations - Ethical and responsible AI use - Identifying appropriate and inappropriate AI use cases |
| Workflow Integration and Solution Design | 16% | - Analyzing requirements and use cases - Solution design and iteration - Communicating Claude's value and limitations - Integrating Claude into existing workflows - Research, planning, and process optimization |
| Configuration and Knowledge Management | 12% | - Maintaining configuration and knowledge sources - Managing uploaded knowledge and connectors - Configuring Claude Projects - Managing instructions and knowledge sources |
| Troubleshooting and Optimization | 10% | - Adjusting approaches based on feedback and results - Diagnosing underperforming prompts and outputs - Optimizing workflows for efficiency and effectiveness |
| Prompting and Task Execution | 14% | - Iterating prompts to improve output - Adapting prompting strategies to task types - Task decomposition - Creating effective prompts |
| Output Evaluation and Validation | 21% | - Editing, adapting, and refining outputs - Determining when human review or verification is required - Fact-checking and validation - Identifying hallucinations, inconsistencies, and bias - Evaluating output accuracy and completeness |
| Product and Model Selection | 12% | - Selecting appropriate Claude product features - Selecting Claude models - Balancing quality, speed, and cost - Managing context limitations and memory |
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123. Frage
You are a knowledge worker reviewing a Claude-generated brief that asserts a "well-known industry standard" without naming any source.
How should this assertion be handled?
Antwort: D
Begründung:
The phrase "well-known industry standard" is not evidence. Without the name of the standard, its issuing body, version, publication date, or an authoritative citation, the statement cannot be independently verified.
Option D correctly treats the assertion as unsupported and requires either authoritative substantiation or removal.
Claude can produce fluent, confident language that appears credible even when the underlying claim is incomplete, inaccurate, or fabricated. Adding stronger language, as proposed in Option A, would amplify the unsupported claim rather than correct it. Options B and C confuse plausibility and confidence with verification. A claim does not become reliable merely because it sounds familiar or uses reassuring terminology.
The reviewer should identify the purported standard, locate the original issuing organization or official publication, confirm that the standard applies to the subject and jurisdiction, and cite the relevant section. If those checks cannot be completed, the claim should be deleted or rewritten to disclose uncertainty. Anthropic recommends grounding factual statements in direct source material, using citations to make claims auditable, and retracting claims for which supporting evidence cannot be found. This approach directly addresses hallucination risk while preserving the brief's credibility. Anthropic's hallucination-reduction guidance
124. Frage
You are reviewing items proposed for inclusion in a Project that supports policy summaries.
Which two items are appropriate to include in the Project? (Select two.) Each correct answer presents part of the solution.
Antwort: B,D
Begründung:
Under the objective Configure Claude Projects with instructions and knowledge sources , curating Project scope requires adding only persistent, relevant reference assets while maintaining strict boundaries against unrelated context.
Option A represents foundational system instructions and prompt scaffolding: specifying target formatting schemas, structural sections, and audience expectations ensures consistent, repeatable policy summaries across all chats. Option B provides the canonical ground truth: uploading the current active policy documentation into the Project knowledge base gives Claude the direct reference material needed to generate factually grounded summaries. In contrast, uploading general presentation slide decks (Option C) injects unneeded token overhead. Including active legal case files (Option D) or employee onboarding records from unrelated workflows (Option E) causes context bleed, violates data compartmentalization principles, and wastes context window capacity.
125. 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.
126. 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: A
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.
127. Frage
A project manager is defining how Claude can support requirements analysis for an upcoming engagement.
Their team will conduct stakeholder interviews and review existing process documentation as part of discovery.
Which activity fits this domain?
Antwort: C
Begründung:
Option C is correct because requirements analysis is grounded in evidence gathered during discovery. Claude can help organize interview notes and process documentation, identify recurring themes, extract candidate requirements, flag conflicts, and produce a consistent structure. Requiring traceability to each source allows analysts to verify the output and return unclear or disputed requirements to the relevant stakeholder.
Option A asks Claude to invent a complete requirements set from insufficient context. Similar projects may provide useful hypotheses, but they cannot substitute for the organization's actual stakeholders, constraints, workflows, and objectives. Option B unnecessarily limits Claude's role: Claude can support synthesis and extraction as well as prioritization, provided qualified humans verify the results. Option D transfers the stakeholder-interview responsibility too broadly. Claude may help prepare questions, summarize authorized transcripts, or organize findings, but human analysts should manage stakeholder relationships, pursue contextual follow-ups, and interpret sensitive or ambiguous responses.
Anthropic recommends providing clear context and structured instructions, while its hallucination guidance advises grounding factual work in source text and auditable citations. A structured, source-traceable requirements list applies both principles and keeps humans responsible for validation and final decisions. See Anthropic's prompting best practices and source-grounding guidance .
128. Frage
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