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Generative AI Workloads Flashcards

6 cards from real AI-900 practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 6 Generative AI Workloads flashcards as text
  1. How does Generative AI Workloads relate to risk management?

    Answer: It identifies, assesses, and mitigates risks specific to this domain

    Generative AI Workloads helps identify, assess, and mitigate domain-specific risks as part of risk management.

  2. What reporting is needed for Generative AI Workloads?

    Answer: Regular reports to relevant stakeholders with actionable insights and metrics

    Reporting on Generative AI Workloads should be regular with actionable insights and meaningful metrics.

  3. How does Generative AI Workloads support audit requirements?

    Answer: Through documented processes, evidence collection, and traceability

    Generative AI Workloads supports audits through documented processes, evidence, and clear traceability.

  4. What vendor considerations apply to Generative AI Workloads?

    Answer: Evaluating vendors, managing SLAs, and monitoring ongoing performance

    Vendor considerations for Generative AI Workloads include evaluation, SLA management, and performance monitoring.

  5. How should Generative AI Workloads be budgeted?

    Answer: Based on risk assessment, expected ROI, and organizational priorities

    Budget for Generative AI Workloads should be based on risk assessment, expected ROI, and organizational priorities.

  6. What exam preparation tips apply to Generative AI Workloads?

    Answer: Understand core concepts, practice with scenarios, and learn key terminology

    For Generative AI Workloads exam preparation, focus on core concepts, scenario practice, and proper terminology.