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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Product and Model Selection | 12% | - Select appropriate Claude product features - Understand model differences and use cases - Match model capabilities to task requirements |
| Topic 2: Governance, Risk, and Responsible Use | 15% | - Understand limitations and ethical boundaries - Apply responsible AI principles and policies - Manage data sensitivity and privacy risks |
| Topic 3: Configuration and Knowledge Management | 12% | - Manage knowledge sources and context - Maintain consistent system-level behavior - Configure Claude Projects with instructions |
| Topic 4: Prompting and Task Execution | 14% | - Apply task decomposition to structure complex requests - Create effective prompts for business and technical tasks - Iterate prompts to improve output quality - Adapt prompting strategies by task type |
| Topic 5: Troubleshooting and Optimization | 10% | - Adjust prompts and configuration to improve results - Diagnose context and performance issues - Identify causes of poor or unexpected outputs |
| 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: Output Evaluation and Validation | 21% | - Evaluate outputs for accuracy, completeness, and consistency - Determine when human review is required - Apply fact-checking and validation methods - Detect hallucinations, biases, and inconsistencies |
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NEW QUESTION # 128
You are an operations lead evaluating prompting strategies that teammates have proposed for various task types.
Which two strategies represent appropriate matches between strategy and task type? (Select two.) Each correct answer presents part of the solution.
Answer: A,C
Explanation:
Under the objective Adapt prompting strategies based on task type (e.g., analysis, research, drafting, brainstorming) , prompting architectures must match the operational nature and variability of the task.
Option C correctly pairs open, exploratory prompting with divergent brainstorming and early-stage strategy, allowing Claude the flexibility to generate wide-ranging perspectives, identify unexpected market angles, and propose creative concepts. Option E correctly pairs rigid, templated prompting (with explicit constraints, schema definitions, and validation rules) with recurring compliance reporting, where deterministic output structure, consistency, and adherence to regulatory schemas are mandatory. Conversely, applying rigid templates to creative ideation (Option A) constrains creativity, using open exploration for contract redlining (Option B) risks hallucination and missed clauses, and enforcing rigid schemas on informal unformatted feedback (Option D) creates unnecessary rigidity.
NEW QUESTION # 129
You are a project manager reviewing Claude usage approaches that teammates have proposed for a project workflow.
Which two workflow steps are well-suited for Claude support? (Select two.) Each correct answer presents a complete solution.
Answer: B,C
Explanation:
Under the objective Identify appropriate and inappropriate use cases , determining suitable application domains hinges on evaluating AI capabilities against risk severity and the presence of human oversight.
Claude excels at information extraction, multi-document synthesis, and structured text generation.
Synthesizing complex findings from multiple research papers (Option D) and compiling meeting notes into organized, structured status summaries (Option E) are classic high-leverage knowledge-work tasks that streamline team operations while keeping final outputs subject to team review. Conversely, allowing an AI model to autonomously authorize external corporate press releases without human sign-off (Option A), bind an organization to contractual liabilities (Option B), or determine career-altering personnel promotions (Option C) represents dangerous and inappropriate delegation that violates responsible AI principles, legal compliance, and human accountability standards.
NEW QUESTION # 130
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: B
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 # 131
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: B,C
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 # 132
You are a knowledge worker evaluating which Claude feature matches each proposed use case.
Which two feature-to-use-case matches are appropriate? (Select two.)
Each correct answer presents a complete solution.
Answer: A,B
Explanation:
Options A and E correctly match capabilities to tasks. A quarterly report derived from many documents benefits from Claude's long-context processing because the model must review, connect, and synthesize information distributed across numerous sources. The user should organize the sources clearly, identify the required reporting structure, and verify that the resulting report accurately represents the inputs.
A complex multistep pricing calculation should use a calculator or code-execution capability. Language models can reason about a calculation's structure, but deterministic computation tools provide stronger numerical reliability and make intermediate operations easier to inspect. The human reviewer should still verify inputs, formulas, units, and business rules.
Option B does not require long-context processing because a single short email can ordinarily be handled within a basic chat request. Option C unnecessarily invokes web search for a stable, established mathematical formula that can be supplied directly or calculated with an appropriate tool. Option D mismatches a numerical tool with a language-editing task; rewriting a description in simpler language is a core text-generation capability and does not require a calculator.
Effective feature selection means matching the task's actual bottleneck-context capacity, external information retrieval, deterministic computation, or reusable content creation-to the capability designed to address it.
NEW QUESTION # 133
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