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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Output Evaluation and Validation | 21% | - Apply fact-checking and validation methods - Evaluate outputs for accuracy, completeness, and consistency - Determine when human review is required - Detect hallucinations, biases, and inconsistencies |
| Topic 2: Troubleshooting and Optimization | 10% | - Adjust prompts and configuration to improve results - Diagnose context and performance issues - Identify causes of poor or unexpected outputs |
| Topic 3: Product and Model Selection | 12% | - Understand model differences and use cases - Select appropriate Claude product features - Match model capabilities to task requirements |
| Topic 4: Governance, Risk, and Responsible Use | 15% | - Manage data sensitivity and privacy risks - Understand limitations and ethical boundaries - Apply responsible AI principles and policies |
| Topic 5: Prompting and Task Execution | 14% | - Iterate prompts to improve output quality - Adapt prompting strategies by task type - Apply task decomposition to structure complex requests - Create effective prompts for business and technical tasks |
| Topic 6: Workflow Integration and Solution Design | 16% | - Integrate Claude into existing business workflows - Plan end-to-end Claude-augmented workflows - Design AI-assisted processes and solutions |
| Topic 7: Configuration and Knowledge Management | 12% | - Configure Claude Projects with instructions - Manage knowledge sources and context - Maintain consistent system-level behavior |
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NEW QUESTION # 137
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 # 138
You are writing system-level instructions for a Project that supports recurring writing tasks.
Which step should be performed first when writing the system-level instructions?
Answer: D
Explanation:
Under the objective Create effective system-level instructions (Domain 5: Configuration and Knowledge Management), engineering project-level system instructions follows a top-down operational framework.
Before authoring specific formatting rules, edge-case handlers, or role prompts, the author must first establish the high-level boundary architecture: defining the core objective and purpose of the Project, the target audience, and the explicit constraints/guardrails the model must respect (Option C). These foundational boundaries dictate what the model should do, what it must refuse or escalate, and how it must interact with attached reference knowledge. Attempting to validate instructions against test requests (Option B) or iteratively refine them (Option A) requires a drafted system prompt to exist first. Distributing instructions to team collaborators (Option D) is the final operational rollout step after validation is complete.
NEW QUESTION # 139
An account manager has used Claude to extract requirements from stakeholder notes. Three requirements appear to conflict: two stakeholders specified mutually exclusive workflow steps, and a third requirement assumes an outcome that the first two would prevent.
Which step is most appropriate?
Answer: C
Explanation:
Option C is correct because Claude can identify and organize conflicting requirements, but it does not possess the authority or stakeholder context required to resolve substantive business disagreements independently.
Each conflicting requirement should be retained, labelled with its originating source, and marked with an unresolved status. The relevant stakeholders can then clarify priorities, negotiate trade-offs, or provide an authoritative decision.
Option A delays a known dependency and risks allowing downstream design work to proceed on incompatible assumptions. Option B permits Claude to invent compromise language that may not represent any stakeholder's actual position. Claude may help draft possible resolution questions, but those proposals must not be treated as approved requirements. Option D is equally inappropriate because apparent business justification in meeting notes does not grant the account manager or Claude authority to discard competing requirements.
Anthropic's hallucination guidance recommends grounding claims in supplied evidence and making outputs auditable with citations. Its AI Fluency Discernment principles also require humans to evaluate outputs critically and retain final judgment. Source traceability and stakeholder escalation therefore provide the most reliable resolution path. See Anthropic's guidance on reducing hallucinations and the AI Fluency Framework .
NEW QUESTION # 140
You are running a weekly feedback-and-adjustment cycle.
Which is the correct order of cycle steps?
(1) Translate feedback into one or two targeted adjustments for the next cycle.
(2) Run the next cycle and compare results against the prior cycle.
(3) Capture the specific feedback received during the review.
(4) Document what changed, what effect it produced, and any remaining issues.
(5) Decide whether to continue iterating, switch approach, or escalate.
Answer: B
Explanation:
Under the objective Adjust approach based on feedback and results , structured workflow iteration follows a disciplined empirical sequence to guarantee controlled optimization.
The feedback loop begins with intake: systematically capturing concrete, specific feedback and defect observations from the recent review session (Step 3). Next, that feedback is translated into one or two targeted, hypothesis-driven prompt or workflow modifications (Step 1). The practitioner then executes the revised workflow and directly benchmarks the new outputs against the previous baseline (Step 2). After execution, the practitioner documents the exact changes made, the measurable effects observed, and any residual edge cases (Step 4). Finally, the practitioner evaluates the results to determine the strategic direction-whether to perform another iteration cycle, pivot to an alternative prompting approach, or escalate to human stakeholders (Step 5). This establishes the correct operational sequence as 3, 1, 2, 4, 5 .
NEW QUESTION # 141
A knowledge worker is applying the AI Fluency Framework Description competency while revising an underperforming prompt.
Which revision best reflects Description principles?
Answer: A
Explanation:
Description concerns communicating a goal to AI with enough precision to produce useful behavior and an appropriate output. Option B strengthens the information that operationally defines success: the task's scope, intended audience, required format, and relevant constraints. These elements reduce the number of assumptions Claude must make.
Option A removes useful context and is likely to make the response more generic. Option C substitutes broad language for a defined specification, increasing ambiguity. Option D confuses prompt length with prompt quality. Additional words improve performance only when they convey relevant instructions, examples, source material, constraints, or decision criteria.
A strong revision might define the role Claude should perform, the source material it may use, exclusions, tone, length, required sections, and the purpose of the deliverable. The revised prompt should then be tested against clear criteria rather than assumed to be correct after one run.
Anthropic defines Description as effectively describing goals to prompt useful AI behavior and output. Its prompting guidance recommends clear, detailed instructions, relevant context, representative examples, and explicit output requirements. Therefore, B is the only revision that directly addresses the diagnosed specification gaps. Anthropic's AI Fluency framework
NEW QUESTION # 142
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