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| Section | Weight | Objectives |
|---|---|---|
| Product and Model Selection | 12% | - Manage context limitations and memory - Differentiate between Claude model types - Align model selection with task requirements - Select appropriate Claude product features |
| Workflow Integration and Solution Design | 16% | - Support solution design through iteration - Use Claude for research, planning, and process optimization - Integrate Claude into existing workflows and communicate its value and limitations - Analyze requirements and use cases |
| Configuration and Knowledge Management | 12% | - Configure Claude Projects with instructions and knowledge sources - Manage uploaded knowledge and connectors - Maintain and update configurations - Create effective system-level instructions |
| Governance, Risk, and Responsible Use | 15% | - Identify appropriate and inappropriate use cases - Understand ethical implications of Claude use - Follow organizational AI policies and governance standards - Apply data sensitivity, regulatory, and privacy considerations |
| Prompting and Task Execution | 14% | - Apply task decomposition techniques to structure complex requests - Iterate prompts to improve output quality - Adapt prompting strategy by task type - Create effective prompts for business and technical tasks |
| Troubleshooting and Optimization | 10% | - Adjust approaches based on feedback and results - Identify and diagnose issues with underperforming prompts or poor outputs - Optimize workflows for efficiency and effectiveness |
| Output Evaluation and Validation | 21% | - 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 - Identify hallucinations, inconsistencies, and biases in responses |
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NEW QUESTION # 73
A workflow analyst is designing a hand-off between Claude and a human reviewer in an existing process. The reviewer needs to know what to check and what is in scope for their review.
Which hand-off design is most appropriate?
Answer: A
Explanation:
Answer B is correct. A reliable Claude-to-human hand-off requires explicit, documented responsibilities for both stages of the workflow. The workflow should define the content and quality standards Claude's output must satisfy and separately identify what the human reviewer must verify before approval. Review criteria might include factual accuracy, source support, completeness, policy compliance, tone, confidentiality, and authorization to publish or act.
Option A produces inconsistent oversight because individual reviewers may apply different standards or overlook critical controls. Domain judgment remains important, but it should supplement documented minimum requirements rather than replace them. Option C defines Claude's responsibilities but leaves the human review scope ambiguous, creating accountability gaps. Option D introduces another weakness: Claude should not independently determine the controls used to validate its own output. A stable, human-approved checklist may be appropriate, but dynamically generated criteria could omit the exact risks requiring independent review.
Explicit acceptance and review criteria make the workflow repeatable, auditable, and easier to improve.
Anthropic's evaluation guidance emphasizes defining clear success criteria and using task-specific evaluation methods. Applying that principle to a human hand-off means documenting both the expected AI deliverable and the reviewer's approval responsibilities. Anthropic: Define success criteria and build evaluations
NEW QUESTION # 74
You are reviewing a Claude-generated competitor brief for unsupported claims.
Which is the correct order of review steps?
(1) Cross-check each specific claim against the supplied source material or trusted external references.
(2) Decide whether to correct, re-prompt, or escalate based on the findings.
(3) Document each unsupported or inconsistent claim with its location and severity.
(4) Identify the specific factual claims, statistics, and citations in the brief.
(5) Read the brief from beginning to end and flag any claims that feel surprising.
Answer: B
Explanation:
Answer C is correct. A defensible fact-check begins with a complete reading of the brief (5), which reveals its overall argument and flags surprising or unusually confident assertions. The reviewer then identifies the concrete factual claims, statistics, and citations that can actually be tested (4). Those items are checked against supplied evidence or trustworthy external sources (1). Any unsupported, contradictory, or inaccurate claim is then recorded with its location and severity (3), creating a usable audit trail. Only after the evidence is assembled should the reviewer decide whether to correct the text, re-prompt Claude, or escalate the issue (2).
This produces the sequence 5, 4, 1, 3, 2. Option D reverses the first two activities, while Options A and B attempt verification before a proper claim inventory exists. Anthropic's guidance recommends structured research, explicit success criteria, and verification across sources; the AI Fluency framework's Discernment and Diligence competencies also keep evaluation and accountability with the human reviewer. The PDF marks D, but that order is weaker and should be corrected to C. Anthropic prompting best practices
NEW QUESTION # 75
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: A
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 # 76
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: D
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 # 77
You are a knowledge manager structuring source material in the context window for a long Claude evaluation task.
Which two practices produce a more effective use of the context window? (Select two.) Each correct answer presents a complete solution.
Answer: D,E
Explanation:
Under the objective Organize and curate information for optimal outputs and select appropriate output formats , structuring reference documents effectively within the context window ensures high-fidelity retrieval and accurate source attribution.
Option B highlights the standard prompt engineering practice of using distinct structural delimiters (such as XML tags like < doc_1 > , < policy > , or Markdown code fences). Delimiters allow Claude to distinguish cleanly between different source boundaries, instructions, and inputs, minimizing attribution errors. Option E leverages positional attention dynamics (addressing the "lost in the middle" phenomenon), where LLMs tend to recall and attend most accurately to information positioned at the very beginning (primacy effect) or at the end (recency effect) of the context window. Conversely, dumping uncurated text (Option A) adds noise and consumes quota, repeating instructions excessively (Option C) wastes tokens without improving adherence, and blending documents into an unstructured blob (Option D) obscures citation provenance.
NEW QUESTION # 78
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