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| Section | Weight | Objectives |
|---|---|---|
| Output Evaluation and Validation | 21% | - Identify hallucinations, inconsistencies, and biases in responses - Edit and adapt outputs for the intended audience - Determine when human review or additional verification is required - Organize and curate information and select appropriate output formats - Evaluate Claude-generated outputs for accuracy and completeness - Apply fact-checking and validation techniques |
| Configuration and Knowledge Management | 12% | - Create effective system-level instructions - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Manage uploaded knowledge and connectors |
| 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 |
| Prompting and Task Execution | 14% | - Apply task decomposition techniques to structure complex requests - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks - Adapt prompting strategy by task type |
| Workflow Integration and Solution Design | 16% | - Integrate Claude into existing workflows and communicate its value and limitations - Support solution design through iteration - Analyze requirements and use cases - Use Claude for research, planning, and process optimization |
| Troubleshooting and Optimization | 10% | - Identify and diagnose issues with underperforming prompts or poor outputs - Optimize workflows for efficiency and effectiveness - Adjust approaches based on feedback and results |
| Product and Model Selection | 12% | - Differentiate between Claude model types - Align model selection with task requirements - Manage context limitations and memory - Select appropriate Claude product features |
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NEW QUESTION # 108
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.
Answer: B,D
Explanation:
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 .
NEW QUESTION # 109
A marketing associate is drafting Project custom instructions for a brand-voice writing workspace. The workspace will be used by several writers, and outputs need to be consistent across writers and chats.
Which approach is most likely to produce consistent outputs across many chats?
Answer: B
Explanation:
Project custom instructions should contain persistent behavioral requirements that apply to every conversation in the workspace. Option C is correct because it explicitly defines Claude's role, intended audience, brand attributes, tone boundaries, and terminology requirements. These elements collectively reduce ambiguity and help different writers obtain consistent results across separate chats.
Option A relies too heavily on a single example. Examples can demonstrate style, but they may not communicate every prohibited tone, terminology rule, or audience requirement. Option B delegates important persistent constraints to individual writers, creating predictable variation between chats. Option D places the glossary in Project knowledge but fails to make terminology compliance an explicit behavioral requirement.
Claude may reference knowledge files when relevant, but custom instructions should directly state that approved terminology must be followed.
The strongest configuration separates behavior from supporting material: custom instructions define what Claude must consistently do, while Project knowledge stores detailed glossaries, brand guides, approved examples, and other reference documents. This aligns with Claude Project guidance concerning reusable instructions, scoped knowledge, roles, workflows, and consistent output expectations.
NEW QUESTION # 110
You are an analyst fact-checking a Claude-generated report. Two cited sources give conflicting dates for the same event.
Which approach is correct?
Answer: B
Explanation:
When cited sources conflict, the analyst must resolve the discrepancy through source hierarchy and corroboration. Option C is correct because a primary or authoritative source-such as the original announcement, official record, regulatory filing, or responsible organization's publication-provides stronger evidence than assumptions based on publication timing or repetition.
Publishing both dates without resolution transfers the analyst's verification responsibility to the reader.
Averaging dates is logically invalid because event dates are categorical facts, not measurements that can be meaningfully averaged. Selecting the newer source is also unreliable; a later publication can repeat an earlier error, refer to a different milestone, or introduce a transcription mistake. The analyst should determine whether the sources describe the same event, locate the most authoritative record, and retain a citation showing how the final date was confirmed.
Anthropic recommends making claims auditable through citations and checking generated statements against supporting source material. Its hallucination guidance further advises retracting a claim when adequate support cannot be found. Consequently, if no authoritative source resolves the discrepancy, the report should clearly disclose the uncertainty rather than manufacture a definitive date. Anthropic's guidance on reducing hallucinations
NEW QUESTION # 111
You are reviewing colleagues' responses to feedback received on Claude-drafted communications.
Which two feedback responses are productive? (Select two.)
Each correct answer presents a complete solution.
Answer: A,D
Explanation:
Options C and D are correct because productive feedback handling requires clarification, traceability, and controlled revision. When feedback is ambiguous, the writer should confirm the reviewer's intent before changing the draft. Otherwise, an incorrect interpretation may introduce new problems or remove content the reviewer intended to preserve.
Mapping each feedback item to a specific revision creates an auditable record showing what changed and why. It also helps identify unresolved comments, conflicting requests, and recommendations that were deliberately declined. This approach supports systematic comparison between the original and revised outputs.
Option A is inappropriate because contradictory suggestions cannot always be implemented simultaneously; the conflict must first be resolved by the appropriate reviewer or decision-maker. Option B postpones potentially material corrections without justification. Option E incorrectly assumes that Claude-generated text deserves automatic acceptance. Claude's output must be evaluated using the same professional, factual, and audience-specific standards applied to human-created content.
Anthropic's Description-Discernment process recommends assessing Claude's output, providing specific feedback, requesting targeted revisions, and applying human expertise and judgment to the final result.
Therefore, clarification and feedback-to-change traceability are the two productive responses. See Anthropic's Description-Discernment Loop and evaluation guidance .
NEW QUESTION # 112
After importing context from another AI platform into Claude's Memory, a knowledge worker notices that some imported details did not appear in subsequent responses.
Which explanation is most accurate?
Answer: D
Explanation:
Answer C is correct. Anthropic identifies Memory importing as an experimental capability that remains under active development. Consequently, Claude may not successfully incorporate every detail transferred from another AI provider. The user should review what Claude learned after the import and manually add important missing information through the available Memory controls.
Option A is incorrect because the import process does not guarantee that every supplied detail will become a persistent instruction or memory. Claude extracts information it considers suitable for Memory, with a focus on useful work-related context. Option B is incorrect because importing does not inherently replace or delete every previously stored memory. Option D is also incorrect: imported information is intended to become usable Memory rather than remain permanently isolated from ordinary memories and inaccessible to chats.
The interface named in Option C reflects the documented legacy workflow, where users could manage Memory through Settings > Capabilities. In the newer Claude experience, users normally go to Settings > Memory and use the memory panel or the "Tell Claude what to change or remove" control. Despite that interface change, C remains the only option that accurately describes the experimental nature of imports and the manual fallback. Anthropic: Import and export your Memory
NEW QUESTION # 113
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