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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Product and Model Selection | 12% | - Differentiate between Claude model types - Align model selection with task requirements - Select appropriate Claude product features - Manage context limitations and memory |
| Topic 2: Prompting and Task Execution | 14% | - Adapt prompting strategy by task type - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks - Apply task decomposition techniques to structure complex requests |
| Topic 3: Output Evaluation and Validation | 21% | - Identify hallucinations, inconsistencies, and biases in responses - Organize and curate information and select appropriate output formats - Apply fact-checking and validation techniques - Edit and adapt outputs for the intended audience - Determine when human review or additional verification is required - Evaluate Claude-generated outputs for accuracy and completeness |
| Topic 4: Workflow Integration and Solution Design | 16% | - Analyze requirements and use cases - Use Claude for research, planning, and process optimization - Support solution design through iteration - Integrate Claude into existing workflows and communicate its value and limitations |
| Topic 5: Configuration and Knowledge Management | 12% | - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Create effective system-level instructions - Manage uploaded knowledge and connectors |
| Topic 6: Governance, Risk, and Responsible Use | 15% | - Understand ethical implications of Claude use - Apply data sensitivity, regulatory, and privacy considerations - Identify appropriate and inappropriate use cases - Follow organizational AI policies and governance standards |
| Topic 7: Troubleshooting and Optimization | 10% | - Identify and diagnose issues with underperforming prompts or poor outputs - Optimize workflows for efficiency and effectiveness - Adjust approaches based on feedback and results |
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NEW QUESTION # 128
A finance manager is about to discuss a confidential pre-announcement figure with Claude.
Which two settings best align with sound privacy practice for this conversation? (Select two.) Each correct answer presents a complete solution.
Answer: C,D
Explanation:
Under the objective Apply data, privacy sensitivity, regulatory policies, and privacy considerations , managing confidential or market-sensitive figures requires controlling memory persistence and data retention settings.
Pre-announcement financial figures represent material non-public information (MNPI) that must not persist beyond the immediate analytical session. Option E applies privacy controls by utilizing Incognito mode, which ensures the session does not contribute to long-term memory or persist in chat history. Option B achieves the same data protection control in standard chat by explicitly toggling off Memory contributions, ensuring the sensitive number is not saved into persistent memory where it could leak into future unrelated prompts. Conversely, proceeding with default settings (Option A), assuming brief discussions avoid retention (Option C), or enabling persistent memory retention for confidential figures (Option D) creates serious compliance and insider data exposure risks.
NEW QUESTION # 129
You are a communications specialist preparing to describe Claude's role in a workflow to multiple stakeholder groups and must complete the preparation steps before drafting messages.
Which two preparation steps must be completed BEFORE drafting the stakeholder messages? (Select two.) Each correct answer presents part of the solution.
Answer: C,E
Explanation:
Under the Claude objective Communicate Claude's value and limitations to stakeholders , crafting effective change-management and enablement communications requires establishing core positioning and audience segmentation prior to drafting content.
Before composing stakeholder updates, the specialist must first define the core ground truth: what specific operational role Claude plays, what tasks it augments, and what strict boundaries or limitations exist (Option C), including human review requirements and non-delegable tasks. Simultaneously, the specialist must segment audience cohorts (e.g., leadership, end users, compliance teams) to identify their distinct concerns, technical familiarity, and required takeaways (Option B). Establishing these two pillars ensures that communications are accurate, targeted, and set realistic expectations. Post-drafting activities such as sending materials (Option D), archiving (Option A), or hosting follow-up forums (Option E) occur only after foundational messaging is developed.
NEW QUESTION # 130
You are a knowledge worker summarizing common prompt failure patterns for the team.
Which pattern most often produces vague or off-target output?
Answer: A
Explanation:
Option A describes an under-specified prompt. Naming only a topic does not tell Claude what action to perform, who will use the result, which information should receive priority, or how the response must be organized. Claude must then infer these requirements, increasing the likelihood of a generic, mis-scoped, or incorrectly formatted response.
An effective business prompt normally identifies the task, supplies relevant context, defines the intended audience, states the desired output structure, and includes material constraints such as tone, length, scope, or exclusions. A representative example can further clarify the expected standard. Consequently, Options B, C, and D describe techniques that generally reduce ambiguity rather than cause it.
Anthropic's prompting guidance recommends clear, detailed instructions and relevant context, while its prompt-engineering framework assumes that users first define success criteria and a testable objective. The prompt should make the expected behavior observable: "summarize this policy for store managers in a five- bullet briefing" is materially stronger than "employee policy." When an output is vague, the correct diagnosis is usually not insufficient model capability but insufficiently described intent, audience, or format. Claude usage and prompting guidance
NEW QUESTION # 131
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 # 132
You are running an optimization pass on a recurring workflow.
Which is the correct order of optimization steps?
(1) Apply targeted optimization to the bottleneck step.
(2) Roll out the optimized workflow to the broader team and document the change.
(3) Identify the bottleneck step using measured time per step and queue length.
(4) Map the current workflow steps, owners, and decision points.
(5) Pilot the change with a small group and measure the effect against the prior baseline.
Answer: D
Explanation:
The correct sequence is 4,3,1,5,2. Optimization must begin by mapping the current workflow, including its steps, owners, inputs, handoffs, and decision points. Without an accurate current-state map, the team cannot reliably associate delays or defects with a particular stage. It should then use measured evidence-such as processing time, waiting time, queue length, rework, or error frequency-to identify the actual bottleneck.
After locating the constraint, the team can apply a targeted improvement to that step. Changing the workflow before identifying the bottleneck, as in Option C, risks optimizing a noncritical activity while leaving the primary delay untouched. The change should next be piloted with a limited group and compared against the previous baseline. This determines whether the intervention improves throughput or quality without creating downstream problems. Only after a successful pilot should the process be rolled out broadly and formally documented.
This sequence is consistent with Anthropic's evaluation approach: define measurable criteria, test changes against representative conditions, and validate performance before production use. Option D identifies the bottleneck before establishing the workflow map needed to interpret the measurements. Anthropic's evaluation guidance
NEW QUESTION # 133
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