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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting and Optimization | 10% | - Diagnose context and performance issues - Identify causes of poor or unexpected outputs - Adjust prompts and configuration to improve results |
| Topic 2: Output Evaluation and Validation | 21% | - Determine when human review is required - Detect hallucinations, biases, and inconsistencies - Apply fact-checking and validation methods - Evaluate outputs for accuracy, completeness, and consistency |
| Topic 3: Governance, Risk, and Responsible Use | 15% | - Understand limitations and ethical boundaries - Manage data sensitivity and privacy risks - Apply responsible AI principles and policies |
| Topic 4: Configuration and Knowledge Management | 12% | - Manage knowledge sources and context - Maintain consistent system-level behavior - Configure Claude Projects with instructions |
| Topic 5: Workflow Integration and Solution Design | 16% | - Design AI-assisted processes and solutions - Integrate Claude into existing business workflows - Plan end-to-end Claude-augmented workflows |
| Topic 6: Product and Model Selection | 12% | - Understand model differences and use cases - Select appropriate Claude product features - Match model capabilities to task requirements |
| Topic 7: Prompting and Task Execution | 14% | - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks - Apply task decomposition to structure complex requests - Adapt prompting strategies by task type |
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NEW QUESTION # 41
You are an operations lead sorting proposed Claude use cases according to whether they are acceptable for your team to pursue.
Which two proposed use cases are acceptable for the team to pursue with Claude? (Select two.) Each correct answer presents a complete solution.
Answer: A,E
Explanation:
Answers B and C are the two acceptable use cases as written. Drafting an internal training summary from approved documentation is a bounded synthesis task grounded in authorized sources. Synthesizing themes from approved customer feedback under established aggregation rules is likewise a controlled analysis task, provided the data handling follows organizational privacy requirements. Both activities support human work without assigning Claude a consequential decision about an individual. Option D feeds performance-review information into a promotion process, an employment-related high-risk domain requiring formal controls and accountable human judgment. Options A and E involve healthcare and legal work. Anthropic's current Usage Policy does not categorically ban those domains, but it requires qualified professional review for high-risk advice or decisions and requires disclosure when outputs are presented directly to consumers. The brief wording in A and E mentions professional review but does not establish the complete safeguards, authorization, privacy handling, or disclosure needed to treat the workflow as approved. Therefore, they are not unconditionally acceptable "as stated." Anthropic's AI Fluency Delegation principle also requires considering consequences, reversibility, and the human capabilities that must remain in the process. B and C are the only choices that fully specify low-risk, policy-bounded knowledge work without relying on unstated safeguards. Anthropic Usage Policy
NEW QUESTION # 42
A manager is deciding what changes to make while conducting a Memory maintenance review for a long- running workflow.
Which two actions best support Memory quality over time? (Select two.)
Answer: C,D
Explanation:
Option B creates a recoverable checkpoint before maintenance. Exporting the current Memory allows the manager to restore important context if a necessary entry is accidentally removed or rewritten incorrectly.
Option E performs the actual quality maintenance by removing stale or inaccurate information and adding durable context that the workflow still requires.
Deleting everything, as proposed in Option A, discards valid context and forces the system to reconstruct it imperfectly from later activity. Option C assumes that the absence of a reported problem proves every stored entry remains accurate; stale Memory may affect future tasks even when current outputs appear acceptable.
Option D eliminates useful continuity instead of correcting the specific quality problems.
Anthropic allows users to view, edit, and export Memory. Its documentation states that exported Memory can serve as a backup or be transferred to another service. Users can also add information that Claude has not automatically retained. A responsible maintenance cycle should therefore back up the current state, inspect entries for accuracy and relevance, remove obsolete details, add missing durable context, and verify future outputs. This preserves continuity while reducing the risk that outdated assumptions contaminate later sessions. Anthropic's Memory import and export guidance
NEW QUESTION # 43
A Claude associate is evaluating whether to enable a Skill that was provided by an unfamiliar third party.
Which two checks best support a sound trust decision? (Select two.)
Answer: C,E
Explanation:
A Skill from an unfamiliar party must be treated as untrusted until its origin and behavior are reviewed.
Option A verifies provenance and confirms that the Skill is permitted by the organization's governance process. Option B applies least privilege by examining what the Skill can access or execute and determining whether those capabilities are necessary for its stated task.
Public availability, popularity, or favorable reviews do not establish security. A Skill can contain instructions, scripts, dependencies, external calls, or other resources capable of causing unintended actions or exposing data. Therefore, Options C and D substitute reputation for technical and organizational validation. Option E is also unsafe because Skills may execute code or access resources available in the surrounding environment; assumed workflow boundaries are not a reliable security control.
Anthropic warns that malicious or compromised Skills can create prompt-injection, unauthorized-access, and data-exfiltration risks. Its guidance instructs users to install Skills only from trusted sources and to inspect bundled files, scripts, dependencies, network calls, and requested operations before enabling them.
Organizational allowlists and permission reviews provide complementary controls: one establishes trust in the source, while the other limits what the Skill may do. Anthropic's Skill security guidance
NEW QUESTION # 44
You are setting up a Connector for a shared data source that several colleagues will use.
Which Connector setup step should be performed first?
Answer: C
Explanation:
Option D is the necessary first step because authorization and data suitability must be established before the shared source is connected to Claude. The team should verify that the connector and its provider are approved under organizational AI, security, procurement, and privacy policies. It must also determine the source's data classification and whether information in that source may legally and contractually be processed through the connector.
Connecting the source first, as proposed in Option C, could expose restricted information before governance review has occurred. Testing a representative task under Option B likewise assumes that access has already been approved. Documenting the connector's purpose and suitable use cases under Option A is important, but that operational documentation should follow the initial determination that the connector and relevant data are permitted.
After approval, the team can connect the source using an account with appropriate permissions, verify authentication, test access boundaries, and confirm that Claude retrieves only information available to the authenticated user. The team should then document approved use cases, prohibited data, human-review requirements, and reporting procedures. This sequence follows least-privilege and data-governance principles and avoids treating successful authentication as evidence that a connector is organizationally authorized or suitable for every type of information.
NEW QUESTION # 45
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: A
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 # 46
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