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| Section | Weight | Objectives |
|---|---|---|
| Prompting and Task Execution | 14% | - Adapt prompting strategies by task type - Apply task decomposition to structure complex requests - Create effective prompts for business and technical tasks - Iterate prompts to improve output quality |
| Configuration and Knowledge Management | 12% | - Manage knowledge sources and context - Maintain consistent system-level behavior - Configure Claude Projects with instructions |
| Output Evaluation and Validation | 21% | - Apply fact-checking and validation methods - Determine when human review is required - Evaluate outputs for accuracy, completeness, and consistency - Detect hallucinations, biases, and inconsistencies |
| Governance, Risk, and Responsible Use | 15% | - Understand limitations and ethical boundaries - Manage data sensitivity and privacy risks - Apply responsible AI principles and policies |
| Troubleshooting and Optimization | 10% | - Diagnose context and performance issues - Adjust prompts and configuration to improve results - Identify causes of poor or unexpected outputs |
| Workflow Integration and Solution Design | 16% | - Plan end-to-end Claude-augmented workflows - Integrate Claude into existing business workflows - Design AI-assisted processes and solutions |
| Product and Model Selection | 12% | - Match model capabilities to task requirements - Select appropriate Claude product features - Understand model differences and use cases |
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NEW QUESTION # 12
A learning specialist is configuring a Claude Project for a recurring course-design workflow.
Which configuration approach best leverages a Skill alongside other Project elements?
Answer: C
Explanation:
Option C creates a coherent configuration in which every Project element supports the same recurring course- design workflow. The Skill supplies specialized procedures or repeatable working methods. The uploaded knowledge provides the organization-specific source material Claude should use, while the custom Project instructions explain how Claude should apply that Skill and knowledge to the particular course-design task.
Project knowledge can provide contextual materials across conversations within a Project, while Project instructions establish persistent requirements governing Claude's behavior. Skills complement these elements by supplying task-specific capabilities or procedures. Claude Help Center Option A introduces conflicting directions because the Project instructions and Skill address different workflows. Option B fails to use the relevant Skill, losing the benefit of an established procedure. Option D technically includes all three elements, but the unrelated instructions prevent them from working together toward the recurring task.
A strong Project configuration should align its instructions, knowledge, and enabled capabilities. The instructions should identify the intended workflow, define the expected output and quality requirements, and explain when Claude should consult the uploaded material or apply the Skill. This alignment improves consistency across sessions and reduces the need to reconstruct the same context in every prompt.
NEW QUESTION # 13
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: D,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 # 14
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,D
Explanation:
Options A and D provide the highest analytical leverage. Synthesizing a large collection of interview transcripts requires reading extensive qualitative material, finding repeated themes, comparing perspectives, and organizing evidence into a usable structure. Claude can significantly reduce the time required for this work, provided the analyst validates the themes and retains traceability to the underlying interviews.
Drafting a comparative summary from public materials is similarly valuable because Claude can organize information across multiple sources, identify meaningful differences, and create a consistent comparison framework. The reviewer must still verify factual claims, source currency, and whether important counterevidence was omitted.
Option B is primarily visual formatting work and does not capitalize on Claude's strongest language-analysis capabilities. Option C may be useful, but basic transcription is normally a narrower processing task than cross- source synthesis or comparative analysis. Option E is inappropriate because fabricated "representative" quotations could be mistaken for actual customer evidence. Claude should summarize themes or label synthetic examples explicitly, never manufacture quotations and present them as research findings.
Claude creates the greatest research value when it accelerates source-grounded synthesis while a human remains responsible for validation, interpretation, and downstream decisions.
NEW QUESTION # 15
An operations assistant is redesigning a recurring data-processing workflow step to use Code Execution.
Which two design choices best support reliable integration? (Select two.)
Answer: D,E
Explanation:
Options A and E are correct because reliable automation requires controlled inputs and validated outputs.
Standardizing the expected input format reduces parsing failures, inconsistent field mappings, and uncontrolled variation between weekly runs. The integration should define required columns, data types, date formats, permitted null values, file naming conventions, and error-handling behaviour. This makes results comparable and supports repeatable testing.
Human verification remains necessary because successful code execution proves only that the program completed without a runtime error. It does not prove that the source data was correct, the implemented calculation matched the business requirement, or the result is operationally reasonable. A sanity check against an expected range, reconciled total, sample calculation, or known baseline helps detect silent logical and data- quality errors before downstream use.
Option B introduces avoidable variability and should instead be handled through standardized preprocessing or explicit adapters. Option C creates an undocumented interface that downstream consumers cannot reliably interpret. Option D confuses sandbox isolation and successful execution with result validation. Anthropic confirms that Code Execution can process files, perform calculations, and generate analytical outputs in a sandbox, but its outputs must still be evaluated against task-specific success criteria. See Anthropic's Code Execution documentation and evaluation guidance .
NEW QUESTION # 16
You are an operations lead sorting proposed Claude use cases by 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: C,D
Explanation:
Options A and E are the most appropriate because they describe bounded, reviewable tasks using approved information for low-risk internal analysis or content preparation. In option A, Claude summarizes authorized internal documentation rather than making consequential decisions. In option E, Claude identifies aggregate themes under established data-handling rules, allowing humans to examine the results before using them.
Option B involves sensitive health information and could affect clinical reasoning. Even when a clinician reviews the result, using Claude for patient-related diagnostic support requires explicit organizational authorization, suitable privacy controls, and domain-specific safeguards that the scenario does not establish.
Option C similarly involves professional legal work and client-facing material. Attorney review is helpful but does not, by itself, establish that the system, data handling, and workflow have been approved for legal use.
Option D is inappropriate because promotion decisions are consequential employment decisions. Claude may assist with authorized administrative tasks, but it should not determine who receives employment opportunities or materially influence such decisions without stringent governance and meaningful human accountability.
The key distinction is not merely whether a person reviews the output. Appropriate selection also depends on data sensitivity, potential harm, organizational authorization, applicable policies, and whether Claude is assisting with a reversible task or influencing a high-impact decision.
NEW QUESTION # 17
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