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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Workflow Integration and Solution Design | 16% | - Communicating Claude's value and limitations - Integrating Claude into existing workflows - Analyzing requirements and use cases - Solution design and iteration - Research, planning, and process optimization |
| Topic 2: Product and Model Selection | 12% | - Selecting Claude models - Selecting appropriate Claude product features - Managing context limitations and memory - Balancing quality, speed, and cost |
| Topic 3: Troubleshooting and Optimization | 10% | - Optimizing workflows for efficiency and effectiveness - Adjusting approaches based on feedback and results - Diagnosing underperforming prompts and outputs |
| Topic 4: Output Evaluation and Validation | 21% | - Evaluating output accuracy and completeness - Determining when human review or verification is required - Editing, adapting, and refining outputs - Fact-checking and validation - Identifying hallucinations, inconsistencies, and bias |
| Topic 5: Configuration and Knowledge Management | 12% | - Configuring Claude Projects - Maintaining configuration and knowledge sources - Managing instructions and knowledge sources - Managing uploaded knowledge and connectors |
| Topic 6: Prompting and Task Execution | 14% | - Creating effective prompts - Adapting prompting strategies to task types - Task decomposition - Iterating prompts to improve output |
| Topic 7: Governance, Risk, and Responsible Use | 15% | - Ethical and responsible AI use - Identifying appropriate and inappropriate AI use cases - Organizational AI governance and policies - Data sensitivity, privacy, and regulatory considerations |
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NEW QUESTION # 102
You are a refining a prompt over several iterations. The output drifts further from the requested template with each change.
Which step is most appropriate?
Answer: C
Explanation:
Under the objective Iterate prompts to improve output quality , managing prompt development requires maintaining baseline versioning and avoiding cumulative degradation.
When successive prompt revisions introduce drift, unintended behaviors, or progressive degradation away from the target output template, continuing to add modifications on top of an already degraded prompt only exacerbates the issue. The appropriate engineering practice is rollback: reverting immediately to the historical version that yielded the highest quality baseline (Option C) and resuming disciplined, single-variable iterations from that verified state. Discarding all historical prompt versions (Option A) loses valuable context, making multiple erratic modifications simultaneously (Option B) creates further unpredictability, and accepting substandard output (Option D) fails quality assurance standards.
NEW QUESTION # 103
You are an HR specialist reviewing model choices made by colleagues for various tasks.
Which two model choices represent appropriate matches between the model and the task? (Select two.) Each correct answer presents a complete solution.
Answer: A,E
Explanation:
Under the objective Align model selection with task requirements (e.g., cost, speed, quality) , deploying models effectively requires matching model cognitive capacity to task complexity and throughput requirements.
Option C correctly routes complex, multi-layered tasks-such as synthesizing intricate legal precedents, statutory compliance, or multi-step policy analysis-to high-capability models (e.g., Claude 3 Opus or Sonnet) where deep reasoning is essential. Option E correctly routes simple, high-frequency, low-complexity tasks-such as standard FAQ lookups-to light, fast models (e.g., Claude 3 Haiku) to achieve ultra-low latency and minimal cost per request. Conversely, choosing models purely based on cost (Option A) is inefficient, deploying large frontier models for simple keyword extraction (Option B) wastes financial and rate-limit budgets, and assigning complex strategic synthesis across many documents to lightweight models (Option D) leads to shallow analysis and missed nuances.
NEW QUESTION # 104
A manager is monitoring a Project's effectiveness over time. The Project has been in use for several months and supports a recurring workflow.
Which signal most directly suggests the configuration needs updating?
Answer: C
Explanation:
Answer C is correct. Increasing use of outdated terminology, sources, or guidance directly indicates that the Project's configuration or knowledge base no longer represents current business practice. Claude Projects use uploaded documents, contextual material, and Project instructions to guide responses across chats. When those inputs become obsolete, the resulting outputs can remain internally consistent while still being operationally inaccurate. The manager should review the Project instructions, replace outdated knowledge files, remove conflicting material, and test the revised configuration against representative workflow tasks.
Option A may reflect seasonal demand, reduced workload, or declining adoption; it does not directly demonstrate a configuration defect. Option B is also inconclusive because longer responses may result from changing task complexity or user preferences. Option D deserves investigation because users may be bypassing the Project due to usability or quality concerns, but it could equally result from habit, convenience, or insufficient training. By contrast, outdated references provide direct evidence that the Project's grounding information needs maintenance. Anthropic describes Projects as self-contained workspaces whose uploaded knowledge and instructions provide context and tailor Claude's responses. Those resources must therefore be reviewed and updated when organizational practices change. Anthropic: What are Projects?
NEW QUESTION # 105
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 # 106
A marketing manager is preparing a constrained brainstorming task: produce ten campaign ideas, each tied to a stated audience segment and each fitting one of three defined budget bands.
Which prompting approach fits the task?
Answer: B
Explanation:
Answer B is correct. This is a constrained brainstorming task with three explicit acceptance requirements:
exactly ten distinct ideas, alignment with a stated audience segment, and placement within one of three defined budget bands. The prompt should include all these constraints and require Claude to label each idea with its intended audience and budget category. That structure makes compliance visible and allows the manager to review the output efficiently.
Option A omits the budget requirement, even though affordability is part of the task rather than a later filtering preference. Option C changes the requested quantity from ten to thirty and creates unnecessary review work without evidence that the larger pool is required. Option D postpones the budget constraint until after generation, increasing the likelihood that several ideas will be unusable and leaving the manager with fewer than ten valid options.
Constraints do not inherently undermine creativity. Well-defined boundaries direct creativity toward implementable solutions and reduce wasted output. A strong prompt could request a table containing the idea, audience segment, budget band, campaign concept, and brief rationale. Anthropic recommends being clear and direct, specifying the desired output format and constraints, and making completion requirements explicit.
Requiring each idea to identify its audience and budget band provides an immediate quality-control mechanism. Anthropic prompting best practices
NEW QUESTION # 107
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