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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 10% | - Adjusting approaches based on feedback and results - Optimizing workflows for efficiency and effectiveness - Diagnosing underperforming prompts and outputs |
| Prompting and Task Execution | 14% | - Adapting prompting strategies to task types - Creating effective prompts - Iterating prompts to improve output - Task decomposition |
| Output Evaluation and Validation | 21% | - Fact-checking and validation - Editing, adapting, and refining outputs - Identifying hallucinations, inconsistencies, and bias - Determining when human review or verification is required - Evaluating output accuracy and completeness |
| Governance, Risk, and Responsible Use | 15% | - Identifying appropriate and inappropriate AI use cases - Ethical and responsible AI use - Data sensitivity, privacy, and regulatory considerations - Organizational AI governance and policies |
| Workflow Integration and Solution Design | 16% | - Analyzing requirements and use cases - Research, planning, and process optimization - Solution design and iteration - Communicating Claude's value and limitations - Integrating Claude into existing workflows |
| Product and Model Selection | 12% | - Selecting Claude models - Balancing quality, speed, and cost - Managing context limitations and memory - Selecting appropriate Claude product features |
| Configuration and Knowledge Management | 12% | - Managing instructions and knowledge sources - Managing uploaded knowledge and connectors - Maintaining configuration and knowledge sources - Configuring Claude Projects |
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NEW QUESTION # 70
You are a project manager at Orinexa, Inc. You are picking a Claude model for a new production workload and must complete the requirements steps before testing candidates.
Which two steps must be completed BEFORE testing candidate models on a representative sample? (Select two.) Each correct answer presents part of the solution.
Answer: A,C
Explanation:
Under the objective Align model selection with task requirements (e.g., cost, speed, quality) , model evaluation follows a structured engineering workflow prior to benchmark testing.
Before running comparative empirical tests on a representative sample dataset, the team must first establish evaluation criteria: defining the required output quality bar, maximum acceptable latency, throughput targets, and budget constraints (Option A). Next, the team maps those requirements against known model family characteristics (Haiku, Sonnet, Opus) to select the appropriate candidate models for testing (Option C). Once requirements are set and candidates selected, empirical sample testing can proceed. Promoting models to production (Option D), securing final platform/security rollout sign-offs (Option E), and ongoing regression testing for new model releases (Option B) are downstream deployment activities that occur after testing is completed.
NEW QUESTION # 71
A Claude associate is applying the AI Fluency Framework Diligence competency to ongoing Claude usage.
Which practice best reflects Diligence in a governance context?
Answer: B
Explanation:
Answer A is correct. Within the AI Fluency Framework, Diligence means taking responsibility for how AI is used and for the consequences of that use. In a governance context, this requires employees to apply organizational policies consistently during everyday work, monitor whether actual practices remain aligned with those policies, and correct deficiencies when they are identified. Governance is therefore an ongoing operational responsibility rather than a one-time administrative exercise.
Option B is incorrect because compliance cannot be limited to visible or formally reviewed activities.
Selective application creates unmanaged risks and indicates that governance has not become part of normal professional conduct. Option C describes useful onboarding and documentation activities, but completing training does not demonstrate continuing compliance. Policies must also be followed during real tasks and revisited as workflows, risks, and organizational requirements change. Option D is incorrect because a compliance team can define standards and provide oversight, but individual users remain responsible for applying those standards when using Claude.
The strongest practice combines consistent policy application, active identification of gaps, and corrective action over time. Anthropic defines Diligence as taking responsibility for what people do with AI and how they do it, which directly supports Answer A. Anthropic AI Fluency Framework
NEW QUESTION # 72
When refining a Claude output that does not meet expectations, which iterative refinement step should be performed first?
Answer: C
Explanation:
Answer D is correct. Iterative refinement should begin by diagnosing the current output against the original requirements. The reviewer must identify specific weaknesses such as missing information, unsupported claims, incorrect tone, poor organization, excessive length, or failure to follow the requested format. This diagnosis provides evidence for deciding what must change in the prompt.
After identifying the weaknesses, the reviewer can modify the prompt to address them, which corresponds to Option C. The revised prompt is then submitted and the resulting output captured, as described in Option A.
Finally, the new output is compared with the original criteria to determine whether the revision improved performance, as stated in Option B. The logical sequence is therefore D, C, A, and B.
Beginning with prompt modification before diagnosing the failure encourages random changes and makes it difficult to determine which revision produced an improvement. Similarly, a new output cannot be submitted or evaluated before a targeted revision has been created. Anthropic's guidance recommends defining clear success criteria, evaluating results against those criteria, and using a structured self-correction process:
generate a draft, review it, and then refine it based on identified deficiencies. Effective iteration is therefore diagnostic and evidence-based rather than trial and error. Anthropic prompting best practices
NEW QUESTION # 73
You are an operations lead sorting proposed Claude use cases according to whether they are acceptable for your team to pursue.
Which two proposed use cases are acceptable for the team to pursue with Claude? (Select two.) Each correct answer presents a complete solution.
Answer: A,E
Explanation:
Answers B and C are the two acceptable use cases as written. Drafting an internal training summary from approved documentation is a bounded synthesis task grounded in authorized sources. Synthesizing themes from approved customer feedback under established aggregation rules is likewise a controlled analysis task, provided the data handling follows organizational privacy requirements. Both activities support human work without assigning Claude a consequential decision about an individual. Option D feeds performance-review information into a promotion process, an employment-related high-risk domain requiring formal controls and accountable human judgment. Options A and E involve healthcare and legal work. Anthropic's current Usage Policy does not categorically ban those domains, but it requires qualified professional review for high-risk advice or decisions and requires disclosure when outputs are presented directly to consumers. The brief wording in A and E mentions professional review but does not establish the complete safeguards, authorization, privacy handling, or disclosure needed to treat the workflow as approved. Therefore, they are not unconditionally acceptable "as stated." Anthropic's AI Fluency Delegation principle also requires considering consequences, reversibility, and the human capabilities that must remain in the process. B and C are the only choices that fully specify low-risk, policy-bounded knowledge work without relying on unstated safeguards. Anthropic Usage Policy
NEW QUESTION # 74
You are a compliance specialist applying the organization's policy to a proposed Claude use case.
Which policy-application step should be performed first?
Answer: A
Explanation:
Answer A is correct. Policy application must begin by identifying the provisions that govern the proposed Claude use case. The specialist first needs to understand the use case's purpose, users, data, affected individuals, intended outputs, level of automation, and potential consequences. These characteristics determine which organizational requirements concerning privacy, security, human oversight, acceptable use, regulated activities, and recordkeeping are applicable.
After identifying the relevant provisions, the specialist compares the proposed use case against those requirements, corresponding to Option D. Based on that assessment, the specialist can approve the use case, require modifications or safeguards, or reject it, as described in Option B. The use case, analysis, controls, and final decision should then be recorded in the compliance register, corresponding to Option C. The logical sequence is therefore A, D, B, and C.
Starting with approval would be premature because no compliance analysis has occurred. Similarly, a meaningful comparison cannot be completed until the applicable provisions have been identified.
Documentation is important, but it records the assessment and decision rather than replacing them. Correct policy application therefore begins with scope determination and proceeds through comparison, decision, and documentation. This supports consistent governance and an auditable decision trail. Anthropic Usage Policy
NEW QUESTION # 75
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