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| Section | Weight | Objectives |
|---|---|---|
| Prompting and Task Execution | 14% | - Iterate prompts to improve output quality - Adapt prompting strategy by task type - Apply task decomposition techniques to structure complex requests - Create effective prompts for business and technical tasks |
| Governance, Risk, and Responsible Use | 15% | - Understand ethical implications of Claude use - Follow organizational AI policies and governance standards - Identify appropriate and inappropriate use cases - Apply data sensitivity, regulatory, and privacy considerations |
| Troubleshooting and Optimization | 10% | - Identify and diagnose issues with underperforming prompts or poor outputs - Adjust approaches based on feedback and results - Optimize workflows for efficiency and effectiveness |
| Output Evaluation and Validation | 21% | - Identify hallucinations, inconsistencies, and biases in responses - 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 - Edit and adapt outputs for the intended audience |
| Configuration and Knowledge Management | 12% | - Configure Claude Projects with instructions and knowledge sources - Create effective system-level instructions - Maintain and update configurations - Manage uploaded knowledge and connectors |
| Product and Model Selection | 12% | - Manage context limitations and memory - Select appropriate Claude product features - Align model selection with task requirements - Differentiate between Claude model types |
| Workflow Integration and Solution Design | 16% | - Support solution design through iteration - Use Claude for research, planning, and process optimization - Integrate Claude into existing workflows and communicate its value and limitations - Analyze requirements and use cases |
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NEW QUESTION # 147
A customer-success team member is reviewing a Claude-generated customer health-check report against the agreed deliverable list. The report covers all five required topics, but the renewal-risk section names only one risk factor where the deliverable specification calls for renewal risk to be assessed across pricing, product fit, and stakeholder change.
Which conclusion is best supported?
Answer: C
Explanation:
Under the objective Evaluate Claude-generated outputs for accuracy and completeness , quality assurance involves auditing both macro-level structure (presence of required topics) and micro-level depth (thoroughness against detailed specifications).
The report successfully includes all five mandatory high-level headings, satisfying basic structural completeness. However, evaluating the internal substance of the renewal-risk section reveals an under-scoped deliverable: the specification required analyzing three distinct dimensions (pricing, product fit, and stakeholder change), but Claude addressed only one. Therefore, Option D is the accurate assessment: the artifact fulfills topical scope but lacks required operational depth and must be expanded prior to client delivery. Claiming it completely satisfies requirements (Option C) ignores explicit criteria, while labeling the entire section missing (Option B) or offloading internal QA to the customer (Option A) violates quality management standards.
NEW QUESTION # 148
A learning specialist is configuring a Project for course-design work. Their organization has an internal instructional-design standard and a preferred output structure for lesson outlines.
Which custom-instruction set best supports this use case?
Answer: B
Explanation:
Option A is correct because effective Project instructions should establish Claude's role, the authoritative standards governing the work, and the expected output structure. These elements create consistent behaviour across the Project's course-design chats. The role establishes the professional perspective Claude should adopt, the instructional-design standard defines the governing methodology, and the lesson-outline structure specifies the required deliverable.
Anthropic explains that Project instructions tell Claude how to behave and respond across every chat within the Project. Consequently, recurring requirements should be placed in Project instructions instead of being manually repeated in each conversation. The organization's instructional-design documentation should also be uploaded to Project knowledge so Claude can reference the actual standard rather than infer it from a brief instruction.
Option B omits a known structural requirement and permits unnecessary variation. Option C supplies the format but not the governing methodology or role context; structure alone cannot communicate the complete instructional standard. Option D defeats the persistence benefit of Projects and increases inconsistency between users and chats.
Individual prompts can still specify lesson-specific objectives, audiences, subjects, and constraints, but the stable role, standards, and output schema belong in the Project-level instructions. See Anthropic's documentation on Project instructions and knowledge and prompting best practices .
Only six genuinely unique questions were found. This is the complete Set 3 batch.
NEW QUESTION # 149
Before uploading a customer file for a Code Execution analysis, a customer-success associate at Noventra, Ltd. is reviewing the planned task.
Which two practices best align with sound data handling? (Select two.)
Answer: B,C
Explanation:
Options B and E apply organizational governance and data-minimization requirements before the file enters Claude's execution environment. The associate must first establish whether Code Execution is an approved processing method for the file's classification. If the information exceeds the approved sensitivity level, the user must escalate to privacy, security, legal, or another designated authority rather than proceeding independently.
The file must also be inspected for customer identifiers, confidential fields, regulated information, credentials, or data unrelated to the calculation. Unnecessary fields should be removed, redacted, or anonymized. A sandbox limits interaction with the surrounding system, but it does not change the sensitivity of uploaded data, provide authorization, or override the organization's handling rules. Therefore, Options C and D incorrectly treat technical isolation as a governance exemption. Option A allows urgency to displace mandatory review.
Anthropic explains that Code Execution runs in an isolated container, while also warning that file-processing configurations and network access create security considerations. Its privacy guidance recommends careful treatment of highly sensitive personal and confidential information. The correct control is to minimize and authorize the data before uploading it, not rely solely on the sandbox afterward. Anthropic's Code Execution security guidance
NEW QUESTION # 150
You are evaluating whether a "redesign new-hire onboarding" request should be decomposed before prompting Claude.
Which feature of the request most strongly indicates decomposition will help?
Answer: D
Explanation:
Option B presents a compound assignment with three materially different deliverables: a process map, supporting content, and a measurement plan. Each requires different inputs, reasoning steps, evaluation criteria, and output structures. Decomposing the request allows the team to define the onboarding objective, map the current process, design the future-state workflow, draft the supporting materials, establish success measures, and then integrate the components into a coherent package.
Task decomposition improves control because each intermediate result can be reviewed before it becomes an input to the next stage. It also prevents one large prompt from underdeveloping a component, overlooking dependencies, or blending incompatible formats. For example, measurement criteria should be based on the redesigned process rather than generated independently before the workflow is defined.
Options A, C, and D describe familiar or narrowly bounded work that can reasonably be handled with one structured prompt. Anthropic's workflow guidance recommends breaking complex interactions into unique tasks and using prompt chains when additional structure is needed. Decomposition should therefore be driven by the number of distinct deliverables and their dependencies, not simply by the length of the request.
Anthropic's Claude workflow guidance
NEW QUESTION # 151
An HR associate is preparing to use Claude on a sensitive personnel matter. The organization's AI policy explicitly states that information related to ongoing investigations must not be entered into AI tools.
Which response best aligns with the policy?
Answer: D
Explanation:
Under the objective Apply data, privacy sensitivity, regulatory policies, and privacy considerations , compliance with explicit organizational AI governance and data boundary mandates is mandatory.
When corporate policy strictly prohibits entering information concerning active personnel investigations into AI tools, employees must fully adhere to that boundary without attempting informal workarounds. Option B correctly enforces compliance: immediately refraining from submitting any investigation-related text to Claude and escalating to HR leadership to determine authorized, conventional processing channels.
Attempting to bypass the rule via Incognito mode (Option C) or informal paraphrasing/anonymization (Option D) violates the explicit governance mandate and risks data spillage in legally sensitive matters.
Assuming the data can simply be entered once closed (Option A) ignores enduring confidentiality requirements.
NEW QUESTION # 152
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