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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompting and Task Execution | 14% | - Adapt prompting strategy by task type - Apply task decomposition techniques to structure complex requests - Create effective prompts for business and technical tasks - Iterate prompts to improve output quality |
| Topic 2: Product and Model Selection | 12% | - Differentiate between Claude model types - Manage context limitations and memory - Align model selection with task requirements - Select appropriate Claude product features |
| Topic 3: Governance, Risk, and Responsible Use | 15% | - Apply data sensitivity, regulatory, and privacy considerations - Follow organizational AI policies and governance standards - Identify appropriate and inappropriate use cases - Understand ethical implications of Claude use |
| Topic 4: Troubleshooting and Optimization | 10% | - Optimize workflows for efficiency and effectiveness - Adjust approaches based on feedback and results - Identify and diagnose issues with underperforming prompts or poor outputs |
| 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: Output Evaluation and Validation | 21% | - Apply fact-checking and validation techniques - Evaluate Claude-generated outputs for accuracy and completeness - Determine when human review or additional verification is required - Edit and adapt outputs for the intended audience - Identify hallucinations, inconsistencies, and biases in responses - Organize and curate information and select appropriate output formats |
| Topic 7: Workflow Integration and Solution Design | 16% | - Integrate Claude into existing workflows and communicate its value and limitations - Use Claude for research, planning, and process optimization - Analyze requirements and use cases - Support solution design through iteration |
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NEW QUESTION # 133
You are using Claude to redesign an employee onboarding workflow and must complete the high-level decomposition steps before specifying detailed artifacts.
Which two decomposition steps must be completed BEFORE specifying exact email content and the schedule? (Select two.) Each correct answer presents part of the solution.
Answer: C,D
Explanation:
Under the objective Apply task decomposition techniques to structure complex requests , complex business problems must be decomposed hierarchically-from macro objectives down to granular operational artifacts.
Before generating low-level execution components such as scheduled email templates or individual checklists, the architect must first establish the high-level structure. This entails defining the overall strategic objective of the program (Option D) to establish success metrics, and identifying the sequential lifecycle phases (e.g., Pre-boarding, Day 1, Week 1, 30-60-90 days) of the onboarding journey (Option B). Once the overarching framework and chronological phases are clearly defined, prompt engineers can systematically task Claude with drafting the supporting content for each specific phase. Piloting (Option A) and full rollout (Option E) occur downstream after artifact creation, while budgetary negotiations (Option C) are outside workflow decomposition.
NEW QUESTION # 134
A project lead is evaluating a Claude-generated status report against the project charter. The report will be delivered to a steering committee, which expects accurate status against committed milestones.
Which set of criteria provides the strongest evaluation frame?
Answer: B
Explanation:
Explanation:
NEW QUESTION # 135
You are a project manager weighing workflow steps by how much leverage Claude integration provides.
Which workflow step typically offers the greatest Claude leverage in a knowledge-work team?
Answer: A
Explanation:
Under the objective Integrate Claude into existing workflows to augment or redesign workflows , AI integration delivers the highest return on investment when deployed for high-volume synthesis and initial artifact creation paired with human oversight ("human-in-the-loop").
Drafting and synthesizing information across disparate documents (Option C) leverages Claude's core strengths: large context window comprehension, fast text processing, structured summarization, and tone adaptation. A knowledge worker acting as a downstream reviewer can quickly audit, refine, and approve the generated draft, drastically reducing cycle time. In contrast, options involving autonomous high-stakes determinations-such as unreviewed external publications (Option A), binding contractual negotiations (Option B), or final personnel and employment actions (Option D)-violate responsible AI governance principles and represent inappropriate delegation risks where human accountability, legal authority, and contextual judgment cannot be automated.
NEW QUESTION # 136
A business analyst is converting a sticky-note request from a stakeholder into a structured prompt for Claude.
Which is the correct order of conversion steps?
(1) Confirm the audience and the decision the response must support.
(2) Submit the structured prompt to Claude.
(3) Identify the underlying task hidden in the sticky-note language.
(4) Specify the desired length, tone, and output format.
(5) Add the supporting facts and constraints relevant to the task.
Answer: C
Explanation:
Answer C gives the proper conversion sequence. The analyst first determines the real task hidden behind the informal sticky-note wording (3); without that step, the prompt may solve the wrong problem. Next, the analyst confirms who will consume the result and which decision it must support (1). Audience and decision purpose determine what evidence is relevant, so the supporting facts, boundaries, and constraints are added afterward (5). Once the substantive requirements are stable, the analyst specifies presentation requirements such as length, tone, and output format (4). The completed prompt can then be submitted to Claude (2). This yields 3, 1, 5, 4, 2. Option A starts with the audience before clarifying the underlying task. Option D supplies facts before establishing the decision context, which can result in irrelevant or insufficient context. Option B begins by submitting a prompt that has not yet been structured. Anthropic's official prompting guidance says Claude performs best with clear, explicit instructions, relevant context, precise output constraints, and sequentially stated steps when order or completeness matters. These principles align directly with the AI Fluency Description competency: clearly describe the intended product, process, and interaction before expecting a reliable result. Anthropic prompting best practices
NEW QUESTION # 137
A knowledge worker has noticed that the same prompt for a recurring weekly task produces inconsistent outputs across runs. Some weeks the output uses the right sections but the wrong tone; other weeks the tone is right but a section is missing. The source inputs change each week but follow the same structure.
Which cause is most worth investigating first?
Answer: D
Explanation:
Answer A is correct. The pattern shows inconsistent compliance with requirements that should have been stated explicitly: the audience, tone, output structure, and mandatory sections. If those requirements are vague or implied, Claude may emphasize different aspects of the request across runs, especially as the weekly source content changes. The first troubleshooting step should therefore be to inspect the prompt and convert each expectation into a clear, testable instruction.
Option B is incomplete. Model outputs can vary, but non-determinism should not be used to excuse recurring failures to satisfy defined requirements. Strong prompts and evaluation criteria can substantially reduce unacceptable variation. Option C is less likely because the weekly inputs follow the same structure; changing facts alone should not cause required sections or tone instructions to disappear. Option D adds unnecessary workflow complexity. Claude can follow tone and structural requirements within one prompt when those requirements are clearly separated and explicitly defined.
The prompt should identify the intended audience, prescribe the tone, list every required section, specify the output format, and state that no section may be omitted. Anthropic recommends clear, direct instructions and precise output constraints, particularly when order or completeness matters. Anthropic prompting best practices
NEW QUESTION # 138
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