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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 10% | - Optimizing workflows for efficiency and effectiveness - Diagnosing underperforming prompts and outputs - Adjusting approaches based on feedback and results |
| Product and Model Selection | 12% | - Balancing quality, speed, and cost - Selecting Claude models - Managing context limitations and memory - Selecting appropriate Claude product features |
| Prompting and Task Execution | 14% | - Task decomposition - Creating effective prompts - Adapting prompting strategies to task types - Iterating prompts to improve output |
| Workflow Integration and Solution Design | 16% | - Analyzing requirements and use cases - Integrating Claude into existing workflows - Communicating Claude's value and limitations - Solution design and iteration - Research, planning, and process optimization |
| Configuration and Knowledge Management | 12% | - Managing instructions and knowledge sources - Maintaining configuration and knowledge sources - Configuring Claude Projects - Managing uploaded knowledge and connectors |
| Output Evaluation and Validation | 21% | - Determining when human review or verification is required - Identifying hallucinations, inconsistencies, and bias - Fact-checking and validation - Evaluating output accuracy and completeness - Editing, adapting, and refining outputs |
| Governance, Risk, and Responsible Use | 15% | - Ethical and responsible AI use - Data sensitivity, privacy, and regulatory considerations - Identifying appropriate and inappropriate AI use cases - Organizational AI governance and policies |
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NEW QUESTION # 98
You are an operations lead evaluating prompting strategies that teammates have proposed for various task types.
Which two strategies represent appropriate matches between strategy and task type? (Select two.) Each correct answer presents part of the solution.
Answer: C,E
Explanation:
Under the objective Adapt prompting strategies based on task type (e.g., analysis, research, drafting, brainstorming) , prompting architectures must match the operational nature and variability of the task.
Option C correctly pairs open, exploratory prompting with divergent brainstorming and early-stage strategy, allowing Claude the flexibility to generate wide-ranging perspectives, identify unexpected market angles, and propose creative concepts. Option E correctly pairs rigid, templated prompting (with explicit constraints, schema definitions, and validation rules) with recurring compliance reporting, where deterministic output structure, consistency, and adherence to regulatory schemas are mandatory. Conversely, applying rigid templates to creative ideation (Option A) constrains creativity, using open exploration for contract redlining (Option B) risks hallucination and missed clauses, and enforcing rigid schemas on informal unformatted feedback (Option D) creates unnecessary rigidity.
NEW QUESTION # 99
You are decomposing a "build a customer journey map" request.
Which is the correct order of decomposed steps?
(1) Identify the touchpoints the customer encounters during each stage.
(2) Define the persona and the journey scope to be mapped.
(3) Capture pain points and opportunities at each touchpoint.
(4) Synthesize the findings into the final journey-map artifact.
(5) Identify the major stages the persona moves through.
Answer: D
Explanation:
The journey must first be bounded by defining the persona and the scope being mapped. Without Step 2, the team does not know whose experience is being analyzed, which objective is relevant, or where the journey begins and ends. It then identifies the major journey stages in Step 5, such as awareness, evaluation, purchase, onboarding, and ongoing use.
Once the stages exist, the team can identify the customer's touchpoints within each stage in Step 1. Pain points, unmet needs, emotional responses, and improvement opportunities can then be recorded against those touchpoints in Step 3. Finally, the validated findings are synthesized into the journey-map artifact in Step 4.
The correct order is therefore 2,5,1,3,4.
Option C identifies stages before establishing the persona and scope. Option D attempts to list touchpoints before defining the stages in which those interactions occur. Both sequences create structural ambiguity.
This decomposition follows dependency ordering: each output supplies the structure needed for the next activity. Anthropic's prompt-chaining guidance supports dividing complex work into sequential stages when intermediate results require inspection or when a defined pipeline improves control. Anthropic's prompt- chaining guidance
NEW QUESTION # 100
Before uploading a customer file for a Code Execution analysis, a customer-success associate at Noventra, Ltd. is reviewing the planned task.
Which two practices best align with sound data handling? (Select two.)
Answer: D,E
Explanation:
Options B and E apply organizational governance and data-minimization requirements before the file enters Claude's execution environment. The associate must first establish whether Code Execution is an approved processing method for the file's classification. If the information exceeds the approved sensitivity level, the user must escalate to privacy, security, legal, or another designated authority rather than proceeding independently.
The file must also be inspected for customer identifiers, confidential fields, regulated information, credentials, or data unrelated to the calculation. Unnecessary fields should be removed, redacted, or anonymized. A sandbox limits interaction with the surrounding system, but it does not change the sensitivity of uploaded data, provide authorization, or override the organization's handling rules. Therefore, Options C and D incorrectly treat technical isolation as a governance exemption. Option A allows urgency to displace mandatory review.
Anthropic explains that Code Execution runs in an isolated container, while also warning that file-processing configurations and network access create security considerations. Its privacy guidance recommends careful treatment of highly sensitive personal and confidential information. The correct control is to minimize and authorize the data before uploading it, not rely solely on the sandbox afterward. Anthropic's Code Execution security guidance
NEW QUESTION # 101
You are an analyst fact-checking a Claude-generated report. Two cited sources give conflicting dates for the same event.
Which approach is correct?
Answer: C
Explanation:
When cited sources conflict, the analyst must resolve the discrepancy through source hierarchy and corroboration. Option C is correct because a primary or authoritative source-such as the original announcement, official record, regulatory filing, or responsible organization's publication-provides stronger evidence than assumptions based on publication timing or repetition.
Publishing both dates without resolution transfers the analyst's verification responsibility to the reader.
Averaging dates is logically invalid because event dates are categorical facts, not measurements that can be meaningfully averaged. Selecting the newer source is also unreliable; a later publication can repeat an earlier error, refer to a different milestone, or introduce a transcription mistake. The analyst should determine whether the sources describe the same event, locate the most authoritative record, and retain a citation showing how the final date was confirmed.
Anthropic recommends making claims auditable through citations and checking generated statements against supporting source material. Its hallucination guidance further advises retracting a claim when adequate support cannot be found. Consequently, if no authoritative source resolves the discrepancy, the report should clearly disclose the uncertainty rather than manufacture a definitive date. Anthropic's guidance on reducing hallucinations
NEW QUESTION # 102
You are a bank manager presented with a request to use Claude as the sole decision-maker on customer credit- line approvals.
Which response is most appropriate?
Answer: C
Explanation:
Credit-line approval directly affects an individual's financial eligibility and is therefore a high-risk financial decision. Claude may assist analysts by summarizing application information, checking completeness, organizing evidence, or identifying cases requiring further review, but qualified humans must retain final decision authority. Option C provides this augmentation model.
Option A values processing speed over fairness, regulatory compliance, explainability, and accountability.
Option B is unacceptable because compliance and risk controls must be established before production, not after customers are affected. Option D increases the risk by allowing Claude both to decide and communicate a consequential financial determination without professional review.
Anthropic's Usage Policy explicitly identifies loan approvals and creditworthiness determinations as high-risk financial use cases. It requires a qualified professional to review advice, recommendations, or subjective decisions that directly affect consumers before finalization. The organization remains responsible for accuracy and appropriateness. Depending on the deployment, disclosure of AI involvement may also be required.
A compliant workflow should define permitted assistance, require human approval, validate the model's outputs, monitor for disparate impact, document decision rationale, and provide appropriate appeal or correction processes. Claude should augment professional judgment, not replace the accountable decision- maker. Anthropic's high-risk use-case requirements
NEW QUESTION # 103
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