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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: 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 |
| Topic 3: 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 4: Workflow Integration and Solution Design | 16% | - Support solution design through iteration - Analyze requirements and use cases - Use Claude for research, planning, and process optimization - Integrate Claude into existing workflows and communicate its value and limitations |
| Topic 5: Output Evaluation and Validation | 21% | - Determine when human review or additional verification is required - Edit and adapt outputs for the intended audience - Evaluate Claude-generated outputs for accuracy and completeness - Apply fact-checking and validation techniques - Organize and curate information and select appropriate output formats - Identify hallucinations, inconsistencies, and biases in responses |
| Topic 6: 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 |
| Topic 7: 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 |
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NEW QUESTION # 70
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 # 71
You are a senior analyst using Claude to analyze requirements from several stakeholder sources.
Which is the correct order of steps?
(1) Group related requirements and flag conflicts or ambiguities for stakeholder review.
(2) Validate the structured output against the original sources for accuracy and completeness.
(3) Submit the consolidated inputs to Claude with a structured extraction prompt.
(4) Gather and label the source materials so each requirement can be traced.
(5) Document the final requirements set with source traceability and status.
Answer: A
Explanation:
Option D is correct: 4, 1, 3, 2, 5. First, gather and label the source materials so every requirement can be traced to a stakeholder interview, process document, or other authoritative input. Second, organize related material and identify apparent conflicts or ambiguities. This preparation prevents unrelated statements from being blended and highlights issues that Claude should preserve rather than silently resolve.
Third, submit the consolidated material using a structured extraction prompt that defines the requested fields, such as requirement identifier, statement, source, owner, priority, ambiguity, and status. Anthropic's prompting guidance emphasizes clear instructions, contextual information, and explicit output formats.
Fourth, validate Claude's structured output against the original sources. This step is essential because a well- formatted answer can still omit, distort, or combine requirements. Anthropic recommends auditable citations and verification against supporting text, retracting claims that cannot be grounded.
Finally, document the approved requirements set with traceability and resolution status. Options A and C begin analysis or prompting before the sources have been properly gathered and labelled. The missing text in Option B cannot establish a valid alternative, so it has been preserved as missing rather than invented. This sequence combines task decomposition with source-grounded validation. See Anthropic's prompting best practices and hallucination-reduction guidance .
NEW QUESTION # 72
You are a product manager asking Claude to produce an interactive prototype of a small landing-page mockup that the team will iterate on and share.
Which Claude feature is best suited to this output?
Answer: B
Explanation:
Option C is correct because an Artifact is designed for substantial, self-contained output that users need to inspect, edit, preview, and refine separately from the surrounding conversation. A landing-page prototype- particularly one containing HTML, CSS, JavaScript, or an interactive component-is more usable in a dedicated Artifact workspace than as code buried inside a chat response.
Artifacts support iterative development. The product manager can ask Claude to change the layout, copy, colors, component behavior, or responsive structure while maintaining a recognizable working version. The resulting prototype can also be reviewed or shared more effectively because it is presented as a distinct deliverable rather than as part of the conversation transcript.
Option A is a research workflow and would be appropriate for gathering sourced information about competitors, not for producing the prototype itself. Option B provides no dedicated editing or preview environment and makes repeated revisions harder to manage. Option D could preserve recurring instructions and reference materials, but a Project is a contextual workspace rather than the output format for the prototype.
A Project and an Artifact can be used together: the Project supplies persistent product requirements and design references, while the Artifact contains the actual prototype that the team iterates on.
NEW QUESTION # 73
A knowledge worker is adjusting an approach after a successful pilot revealed two opportunities for further improvement. The pilot's core results were positive, and the team is preparing for a broader rollout.
Which adjustment is most appropriate?
Answer: B
Explanation:
Answer B is correct. The pilot has already demonstrated that the core approach is effective, so the team should retain the successful elements while making targeted changes for the two identified improvement opportunities. A controlled comparison before full rollout then provides evidence that the revised approach performs at least as well as the original pilot and that the modifications produce the expected improvement.
Option A ignores known improvement opportunities and unnecessarily carries identified weaknesses into production. Option C implements the changes during the broader rollout without validating them first.
Monitoring is necessary, but it is not a substitute for controlled pre-rollout testing because defects could affect many more users. Option D tests only the two opportunities in isolation. This may fail to evaluate how the new changes interact with the rest of the successful workflow.
A controlled comparison can evaluate the pilot configuration and the revised configuration against the same acceptance criteria, representative cases, and quality measures. This preserves what worked while reducing the risk of unintended regression. Anthropic's evaluation guidance recommends measurable success criteria, task-specific tests, and evaluations that distinguish between competing approaches. Therefore, B represents the strongest evidence-based adjustment before scaling the workflow. Anthropic: Define success criteria and build evaluations
NEW QUESTION # 74
You are working as a process consultant integrating a pre-built Skill into a recurring team workflow.
Which two practices best support reliable integration? (Select two.)
Answer: C,E
Explanation:
Options A and D establish the operational clarity necessary for reliable Skill integration. Defining expected inputs and outputs gives the Skill a clear interface within the workflow. The team can standardize file types, required fields, prompt variables, output structure, and error-handling rules. This makes recurring runs easier to compare, test, and troubleshoot and prevents downstream steps from depending on undocumented assumptions.
Documenting where the Skill is invoked and which human reviews remain is equally important. A pre-built Skill packages instructions and procedures, but it does not remove the organization's accountability for the resulting work. Review points should be proportionate to the output's risk, audience, reversibility, and business impact. The documentation should identify who reviews the output, what must be checked, and what happens when the result fails validation.
Option B encourages scope misuse and can produce unreliable results because a Skill is optimized for its documented tasks. Option C removes necessary quality controls without evidence that such autonomy is safe.
Option E bypasses version control and organizational approval, creating security, provenance, and reproducibility risks.
Reliable integration therefore requires a defined interface, documented workflow placement, controlled versions, and visible human accountability-not merely enabling a Skill and assuming its output is production- ready.
NEW QUESTION # 75
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