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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Risk, and Responsible Use | 15% | - Follow organizational AI policies and governance standards - Identify appropriate and inappropriate use cases - Apply data sensitivity, regulatory, and privacy considerations - Understand ethical implications of Claude use |
| Topic 2: Configuration and Knowledge Management | 12% | - Manage uploaded knowledge and connectors - Create effective system-level instructions - Configure Claude Projects with instructions and knowledge sources - Maintain and update configurations |
| Topic 3: Output Evaluation and Validation | 21% | - Organize and curate information and select appropriate output formats - Determine when human review or additional verification is required - Evaluate Claude-generated outputs for accuracy and completeness - Edit and adapt outputs for the intended audience - Identify hallucinations, inconsistencies, and biases in responses - Apply fact-checking and validation techniques |
| Topic 4: Product and Model Selection | 12% | - Align model selection with task requirements - Select appropriate Claude product features - Manage context limitations and memory - Differentiate between Claude model types |
| Topic 5: Workflow Integration and Solution Design | 16% | - Analyze requirements and use cases - Use Claude for research, planning, and process optimization - Integrate Claude into existing workflows and communicate its value and limitations - Support solution design through iteration |
| Topic 6: Prompting and Task Execution | 14% | - Iterate prompts to improve output quality - Apply task decomposition techniques to structure complex requests - Create effective prompts for business and technical tasks - Adapt prompting strategy by task type |
| Topic 7: Troubleshooting and Optimization | 10% | - Optimize workflows for efficiency and effectiveness - Identify and diagnose issues with underperforming prompts or poor outputs - Adjust approaches based on feedback and results |
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NEW QUESTION # 10
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: A,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 # 11
You are an operations lead sorting Claude-driven research tasks by which deliver the most value.
Which two Claude-driven research tasks deliver the highest value in a typical analysis workflow? (Select two.) Each correct answer presents a complete solution.
Answer: A,B
Explanation:
Options A and D provide the greatest analytical leverage because they require Claude to process substantial information, identify patterns, organize evidence, and produce a usable synthesis. Reviewing a large collection of interview transcripts manually is time-consuming and can produce inconsistent coding. Claude can accelerate the initial thematic analysis by grouping recurring needs, objections, pain points, and outlier observations while preserving links to the underlying source material for human verification.
Similarly, preparing a comparative summary from public materials requires information organization across multiple competitors or solutions. Claude can structure features, positioning, pricing claims, advantages, and limitations into a consistent comparison, allowing an analyst to concentrate on validating evidence and interpreting strategic implications.
Option B is mainly a presentation-formatting activity and provides less research leverage. Option C can save administrative time but is fundamentally transcription and restructuring rather than higher-value analysis.
Option E is inappropriate because invented "representative" quotations may be mistaken for authentic customer statements. Claude should summarize verified themes or use clearly attributed excerpts from real transcripts, not fabricate evidence.
The strongest research applications therefore combine high-volume source processing with structured synthesis, while retaining human review for source accuracy, interpretation, and final decisions.
NEW QUESTION # 12
You are a bank manager presented with a request to use Claude as the sole decision-maker on customer credit- line approvals.
Which response is most appropriate?
Answer: B
Explanation:
Credit-line approval directly affects an individual's financial eligibility and is therefore a high-risk financial decision. Claude may assist analysts by summarizing application information, checking completeness, organizing evidence, or identifying cases requiring further review, but qualified humans must retain final decision authority. Option C provides this augmentation model.
Option A values processing speed over fairness, regulatory compliance, explainability, and accountability.
Option B is unacceptable because compliance and risk controls must be established before production, not after customers are affected. Option D increases the risk by allowing Claude both to decide and communicate a consequential financial determination without professional review.
Anthropic's Usage Policy explicitly identifies loan approvals and creditworthiness determinations as high-risk financial use cases. It requires a qualified professional to review advice, recommendations, or subjective decisions that directly affect consumers before finalization. The organization remains responsible for accuracy and appropriateness. Depending on the deployment, disclosure of AI involvement may also be required.
A compliant workflow should define permitted assistance, require human approval, validate the model's outputs, monitor for disparate impact, document decision rationale, and provide appropriate appeal or correction processes. Claude should augment professional judgment, not replace the accountable decision- maker. Anthropic's high-risk use-case requirements
NEW QUESTION # 13
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: A
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 # 14
You are a marketing manager using Claude to ideate concepts for a campaign and must complete the framing steps before generating concepts.
Which two framing steps must be completed BEFORE asking Claude to generate concepts? (Select two.) Each correct answer presents part of the solution.
Answer: A,C
Explanation:
Effective ideation requires a clear creative frame. Option A defines what the campaign is intended to achieve and how success will be assessed. Option D defines the intended audience and brand voice, ensuring that generated concepts are relevant to the people being addressed and consistent with the organization's identity.
Options B and C occur after concepts have been generated. A finalist cannot be selected or developed until candidate concepts exist. Option E concerns execution planning and should follow concept selection, validation, and approval. Scheduling does not provide the creative direction Claude needs during initial ideation.
A strong ideation prompt might specify the campaign objective, audience characteristics, brand attributes, channel, constraints, prohibited themes, desired number of concepts, and the dimensions along which the ideas should differ. Claude can then explore broadly within meaningful boundaries. Success metrics also create criteria for evaluating ideas after generation, preventing selection from being driven solely by subjective preference.
Anthropic's prompting guidance emphasizes providing clear context, objectives, audience information, and output expectations. For brainstorming, the framing should constrain relevance without prescribing the final answer so tightly that concept diversity is eliminated. Anthropic's prompting best practices
NEW QUESTION # 15
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