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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting and Optimization | 10% | - Identify and diagnose issues with underperforming prompts or poor outputs - Adjust approaches based on feedback and results - Optimize workflows for efficiency and effectiveness |
| Topic 2: Prompting and Task Execution | 14% | - Create effective prompts for business and technical tasks - Apply task decomposition techniques to structure complex requests - Adapt prompting strategy by task type - Iterate prompts to improve output quality |
| Topic 3: Output Evaluation and Validation | 21% | - Identify hallucinations, inconsistencies, and biases in responses - Evaluate Claude-generated outputs for accuracy and completeness - Edit and adapt outputs for the intended audience - Determine when human review or additional verification is required - Organize and curate information and select appropriate output formats - Apply fact-checking and validation techniques |
| Topic 4: Governance, Risk, and Responsible Use | 15% | - Apply data sensitivity, regulatory, and privacy considerations - Identify appropriate and inappropriate use cases - Understand ethical implications of Claude use - Follow organizational AI policies and governance standards |
| Topic 5: 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 - Support solution design through iteration - Analyze requirements and use cases |
| Topic 6: Product and Model Selection | 12% | - Align model selection with task requirements - Differentiate between Claude model types - Manage context limitations and memory - Select appropriate Claude product features |
| Topic 7: Configuration and Knowledge Management | 12% | - Create effective system-level instructions - Configure Claude Projects with instructions and knowledge sources - Maintain and update configurations - Manage uploaded knowledge and connectors |
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NEW QUESTION # 31
An support representative is configuring a Project for drafting customer-facing apology emails after service outages. The current custom instructions tell Claude to "be empathetic and casual, keep it short, and offer a goodwill credit." The customer-service team has flagged that recent drafts have been too brief, have offered goodwill credits in cases where policy does not allow them, and have used contractions that the brand voice guide prohibits.
Which adjustment best aligns the configuration to the use case?
Answer: B
Explanation:
Under the Claude objective Configure Claude Projects with instructions and knowledge sources , effective project configuration requires replacing vague, conflicting directives with explicit operational boundaries and grounded criteria. In this scenario, the root causes of underperformance are conflicting requirements: the prompt requests a "casual" tone while brand guidelines prohibit contractions, asks Claude to
"keep it short" leading to overly brief outputs, and unconditionally directs it to "offer a goodwill credit" without verifying eligibility criteria.
Option C properly resolves all three deficiencies directly within the project instructions. First, it explicitly operationalizes the tone attributes (empathetic, formal, avoiding contractions) rather than relying on ambiguous descriptors. Second, establishing concrete length constraints (such as minimum paragraph or sentence counts) prevents the model from generating under-scoped drafts. Third, it conditions the business logic-instructing Claude to evaluate goodwill credit awards against the attached policy document in the Project knowledge base. In contrast, relying solely on uploaded knowledge files without aligning custom instructions (Options B and D) leads to prompt collisions, while Option A removes necessary policy guidance altogether.
NEW QUESTION # 32
You are a refining a prompt over several iterations. The output drifts further from the requested template with each change.
Which step is most appropriate?
Answer: D
Explanation:
Under the objective Iterate prompts to improve output quality , managing prompt development requires maintaining baseline versioning and avoiding cumulative degradation.
When successive prompt revisions introduce drift, unintended behaviors, or progressive degradation away from the target output template, continuing to add modifications on top of an already degraded prompt only exacerbates the issue. The appropriate engineering practice is rollback: reverting immediately to the historical version that yielded the highest quality baseline (Option C) and resuming disciplined, single-variable iterations from that verified state. Discarding all historical prompt versions (Option A) loses valuable context, making multiple erratic modifications simultaneously (Option B) creates further unpredictability, and accepting substandard output (Option D) fails quality assurance standards.
NEW QUESTION # 33
An HR associate is preparing to use Claude on a sensitive personnel matter. The organization's AI policy explicitly states that information related to ongoing investigations must not be entered into AI tools.
Which response best aligns with the policy?
Answer: C
Explanation:
Under the objective Apply data, privacy sensitivity, regulatory policies, and privacy considerations , compliance with explicit organizational AI governance and data boundary mandates is mandatory.
When corporate policy strictly prohibits entering information concerning active personnel investigations into AI tools, employees must fully adhere to that boundary without attempting informal workarounds. Option B correctly enforces compliance: immediately refraining from submitting any investigation-related text to Claude and escalating to HR leadership to determine authorized, conventional processing channels.
Attempting to bypass the rule via Incognito mode (Option C) or informal paraphrasing/anonymization (Option D) violates the explicit governance mandate and risks data spillage in legally sensitive matters.
Assuming the data can simply be entered once closed (Option A) ignores enduring confidentiality requirements.
NEW QUESTION # 34
A Claude associate is identifying the bottleneck in a content workflow that takes too long to publish. The workflow has five steps: research, drafting, internal review, legal review, and publication. There is cycle-time data for each step from the past month.
Which signal most directly identifies the bottleneck?
Answer: C
Explanation:
Option A is correct because a persistent queue or growing backlog directly indicates that work is arriving faster than a step can process it. That step is constraining the throughput of the overall workflow: earlier work accumulates while later stages wait for completed items. Queue length should still be examined over a representative period to distinguish a sustained bottleneck from a temporary spike.
Option C is useful supporting evidence but is not always the most direct signal. A step may have a long per- item cycle time because the work is inherently complex while still possessing sufficient capacity to handle incoming demand. Conversely, a relatively short step can become the bottleneck when its available capacity is too low for the volume arriving. Employee-reported workload in Option B is subjective and may reflect effort, stress, or simultaneous responsibilities rather than workflow throughput. Option D relies on an unsupported assumption: a recently added step is not necessarily the constraint.
A sound Claude-assisted optimization process should map the workflow, collect measurable evidence, identify the constraint, test a targeted improvement, and compare results against a baseline. Anthropic recommends measurable, task-relevant success criteria and evaluation methods rather than vague impressions.
Therefore, the largest sustained queue or backlog is the strongest direct indicator. See Anthropic's guidance on defining measurable success criteria and evaluations .
NEW QUESTION # 35
You are a business analyst reviewing prompt drafts written by teammates.
Which two elements belong in a well-structured prompt for a business task? (Select two.) Each correct answer presents part of the solution.
Answer: A,E
Explanation:
Options A and B are correct because Claude needs a clear task and the context required to perform that task appropriately. The prompt should state the requested action using direct language-for example, summarize, compare, classify, draft, calculate, or recommend. It should then provide relevant information such as the intended audience, business objective, authoritative sources, constraints, success criteria, and required output format.
Anthropic's prompting guidance emphasizes clarity, specificity, contextual grounding, and explicit formatting instructions. Audience and purpose are particularly important in business tasks because the same underlying information may need very different treatment for executives, customers, technical teams, or regulators.
Option C can be useful when an approachable tone is genuinely required, but it is not an essential element of every structured business prompt. Tone should be selected according to the task rather than added automatically. Option D introduces excessive and potentially irrelevant information; only products or services relevant to the task should be included. Option E similarly adds noise unless the anecdote supplies necessary factual context or illustrates the desired output.
Therefore, a clear task statement and relevant goal-and-audience context form the indispensable foundation.
See Anthropic's prompting best practices .
NEW QUESTION # 36
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