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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Output Evaluation and Validation | 21% | - Detect hallucinations, biases, and inconsistencies - Evaluate outputs for accuracy, completeness, and consistency - Apply fact-checking and validation methods - Determine when human review is required |
| Topic 2: Product and Model Selection | 12% | - Match model capabilities to task requirements - Select appropriate Claude product features - Understand model differences and use cases |
| Topic 3: Troubleshooting and Optimization | 10% | - Diagnose context and performance issues - Adjust prompts and configuration to improve results - Identify causes of poor or unexpected outputs |
| Topic 4: Configuration and Knowledge Management | 12% | - Maintain consistent system-level behavior - Configure Claude Projects with instructions - Manage knowledge sources and context |
| Topic 5: Workflow Integration and Solution Design | 16% | - Plan end-to-end Claude-augmented workflows - Design AI-assisted processes and solutions - Integrate Claude into existing business workflows |
| Topic 6: Governance, Risk, and Responsible Use | 15% | - Manage data sensitivity and privacy risks - Understand limitations and ethical boundaries - Apply responsible AI principles and policies |
| Topic 7: Prompting and Task Execution | 14% | - Apply task decomposition to structure complex requests - Adapt prompting strategies by task type - Create effective prompts for business and technical tasks - Iterate prompts to improve output quality |
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NEW QUESTION # 104
You are an operations manager preparing a quick reference card for a team.
Which description correctly characterizes the three Claude model tiers in general terms?
Answer: A
Explanation:
Under the objective Differentiate between Claude model types (e.g., Haiku, Sonnet, Opus) (Domain 3:
Product and Model Selection), Anthropic structures its model family across three clear tiers of intelligence, latency, and cost:
* Claude Haiku : The fastest, most cost-efficient, and lightweight model designed for high-volume, low- latency tasks and simple classification.
* Claude Sonnet : The balanced, versatile enterprise workhorse combining high intelligence and throughput for everyday knowledge-work tasks.
* Claude Opus : The frontier model offering deep reasoning and analytical capacity for complex, multi- step problem solving at higher latency and operational cost.
Option C perfectly summarizes these structural trade-offs. Options A, B, and D misrepresent the capability hierarchy, speed profiles, and architectural tiering of the Claude family.
NEW QUESTION # 105
A knowledge worker notices that a Claude output may have repeated a confidential financial figure from an internal source that the user was told to treat as restricted. The output has not yet been shared outside the user.
Which immediate action is most appropriate?
Answer: D
Explanation:
Option A is the correct immediate response because potential mishandling of restricted information must be contained, documented, and reported through the organization's established governance process. The user should stop further use or distribution of the output and preserve enough information for an authorized reviewer to understand what occurred, including the prompt, connected or uploaded source, affected output, data classification, and any actions already taken.
Removing the figure from the visible output, as suggested by Option B, does not address whether the information was improperly submitted, retrieved, retained, or exposed elsewhere in the workflow. A private log is not a substitute for an approved incident channel. Starting another conversation under Option C may prevent reuse of the immediate response, but it neither documents nor investigates the possible policy violation. Option D is also unsafe: restricted-data incidents can require reporting even when no external disclosure has yet occurred.
Claude governance depends on human accountability. Users must follow organizational rules governing confidential data rather than deciding individually that an incident is harmless. The designated privacy, security, or AI-governance team can determine severity, required containment, retention implications, and whether further notification or remediation is necessary.
NEW QUESTION # 106
A marketing associate is drafting Project custom instructions for a brand-voice writing workspace. The workspace will be used by several writers, and outputs need to be consistent across writers and chats.
Which approach is most likely to produce consistent outputs across many chats?
Answer: A
Explanation:
Project custom instructions should contain persistent behavioral requirements that apply to every conversation in the workspace. Option C is correct because it explicitly defines Claude's role, intended audience, brand attributes, tone boundaries, and terminology requirements. These elements collectively reduce ambiguity and help different writers obtain consistent results across separate chats.
Option A relies too heavily on a single example. Examples can demonstrate style, but they may not communicate every prohibited tone, terminology rule, or audience requirement. Option B delegates important persistent constraints to individual writers, creating predictable variation between chats. Option D places the glossary in Project knowledge but fails to make terminology compliance an explicit behavioral requirement.
Claude may reference knowledge files when relevant, but custom instructions should directly state that approved terminology must be followed.
The strongest configuration separates behavior from supporting material: custom instructions define what Claude must consistently do, while Project knowledge stores detailed glossaries, brand guides, approved examples, and other reference documents. This aligns with Claude Project guidance concerning reusable instructions, scoped knowledge, roles, workflows, and consistent output expectations.
NEW QUESTION # 107
You are a project lead reviewing a teammate's habit of using the same prompt template for every task regardless of type.
Which feedback is most warranted?
Answer: D
Explanation:
Different tasks require different prompting structures, evidence, constraints, and evaluation methods. A research request should define research questions, source requirements, currency expectations, and citation rules. An analytical task should specify the decision to support, relevant data, assumptions, and comparison criteria. Drafting work requires audience, tone, purpose, structure, and length. Brainstorming normally benefits from broader exploration, diversity requirements, and delayed evaluation.
A reusable template can provide a useful baseline, but it should not remain unchanged when task characteristics differ. Options B, C, and D incorrectly assume that uniformity guarantees effectiveness. In practice, excessive rigidity can omit critical instructions or impose an inappropriate structure. A compliance report and an early-stage ideation exercise should not be prompted identically.
Anthropic's prompting documentation covers multiple techniques-including clear instructions, examples, role prompting, structured formats, prompt chaining, and success criteria-because no single technique is optimal for every workload. Anthropic's legal-summarization guidance also demonstrates that prompt details can be adjusted for different levels of technicality, verbosity, and structure. The project lead should therefore standardize reusable components while adapting task-specific objectives, inputs, constraints, and output formats. Anthropic's prompt-engineering overview
NEW QUESTION # 108
A knowledge worker is explaining how to use feedback to improve Claude-supported work over time.
Which description is most accurate?
Answer: D
Explanation:
Under the objective Adjust approach based on feedback and results , iterative refinement requires tight, closed feedback loops characterized by concrete observation, targeted modification, and empirical evaluation.
Option A details the gold-standard iteration cycle: capturing specific, granular defects immediately following an execution run (e.g., tone misalignment, omitted edge cases, formatting errors), translating those observations into targeted, discrete adjustments in prompt instructions or workflow logic, and validating whether subsequent outputs resolve the issue without regressions. In contrast, deferring feedback collection across multiple unmonitored cycles (Option B) delays error detection. Relying solely on high-level aggregate numerical ratings (Option C) lacks the actionable diagnostic detail needed to locate root causes. Applying sweeping, unfocused prompt overhauls (Option D) obscures cause-and-effect relationships and frequently introduces new failure modes.
NEW QUESTION # 109
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