During evaluation, an agent responsible for extracting signatures and related information from tables in approval documents produces inconsistent results and misses some signatures.
Based on iterative refinement practices, what corrective action should be taken?

• A. Refine the extraction instructions to clarify how signatures within tables must be identified and retest while measuring accuracy changes.
• B. Expand the contextual description of the approval workflow without modifying the extraction steps or validating improvements.
• C. Rewrite the entire prompt structure and analyze which specific extraction instruction caused the inconsistency.
• D. Update the argument configurations in Data Manager and refine the table parsing instructions by adding clear guidelines.

Before publishing an agent to Orchestrator, which combination of checks ensures the agent meets enterprise readiness standards?

• A. Conduct at least 30 interactive tests, validate evaluation sets with #70% performance.
• B. Conduct at least 50 interactive tests and confirm no regressions.
• C. Skip interactive testing if curated evaluations exceed 80% accuracy.
• D. Run smoke tests only after publishing, and make sure the provided guardrail logging is enabled.

An insurance company needs to automate end-to-end policy validation by ingesting customer records from its CRM, invoking multiple REST APIs to verify coverage and eligibility against external data sources, and reconciling results for audit compliance. The process must handle authentication challenges, intermittent API outages, and changing response schemas, while providing clear progress and error reporting for business users.
Which workflow design approach is best?

• A. Create a modular UiPath workflow with centralized API authentication, schema validation/adaptation for varying responses, resiliency (auto-retries, graceful outage handling), and real-time progress/error logs for business users.
• B. Use separate UiPath workflows for each stage, CRM ingestion, API verification, and reconciliation, allowing manual intervention if an authentication failure or schema mismatch occurs, and emailing stakeholders occasional audit summaries for review.
• C. Configure the workflow to only process customer records during periods of known API uptime, skipping records and deferring validation when external data sources are unavailable, then batch process any skipped validations later and compile a multi-stage report.
• D. Organize the workflow so each API call operates independently, with hardcoded credentials; in case of outages, aggregate error codes for later manual investigation, and generate a single compliance summary after all processing is complete.

In a UiPath agent evaluation, you want to assess whether the agent followed the expected behavior throughout its run history and decision-making steps, rather than comparing only final outputs.
Which evaluator type should you select?

• A. Exact match
• B. Trajectory evaluator
• C. JSON similarity
• D. LLM-as-a-Judge (semantic similarity on final output)