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CertNexus GenAIBIZ — Requirements & Free Practice

US · License preparation

100 free questions · Answer explanations · No signup required

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CertNexus GenAIBIZ

A business-focused digital badge validating knowledge of generative AI and its responsible use in business.

Licensing authority: CertNexus

Initial by examination
Access
Purchase an access key for the GenAIBIZ (Exam GAZ-210): Making Generative AI Work for Your Business course from the CertNexus Store; it includes the credential process through CHOICE. The assessment-specific materials publish self-paced online access rather than a testing-center seat or appointment requirement.
Assessment
Successfully complete GAZ-210 through CHOICE with 76% or 19/25 items.
Boundary
Initial industry digital-badge award; no governmental licensure is asserted. The requested practice target is not the examination item count.
Eligibility
No application fee, supporting documentation or other eligibility verification. Recommended knowledge includes business processes, general business concepts and generative AI; the current page also recommends basic enterprise IT resources/systems knowledge.
Retakes
Candidates may retake as many times as desired.
Training
The page describes course completion followed by assessment. The assessment-specific blueprint expressly recommends course attendance rather than making attendance a separately verified eligibility gate. Course access-key purchase remains the published access instruction.

CertNexus® GenAIBIZ™

Provider
CertNexus; online through CHOICE
Format
Multiple Choice/Multiple Response
Exam questions
Total questions: 25.
Time limit
Estimated 20–45 minutes; candidates may retake as many times as desired.
Passing score
76% or 19/25 items
Examination outline
  • Identify AI Fundamentals (20%)
    • Define fundamental AI terms and concepts.
    • Define generative AI terms and concepts.
  • Solve Business Problems with AI-Generated Content (35%)
    • Generate text using AI.
    • Generate images and video using AI.
    • Generate audio using AI.
    • Generate code using AI.
  • Identify Generative AI Challenges (25%)
    • Identify shortcomings of generative AI.
    • Identify ethical risks of generative AI.
    • Identify business concerns of generative AI.
  • Implement Business Strategies for Generative AI (20%)
    • Apply best practices for implementing generative AI in the organization.
    • Evaluate the results of generative AI projects.
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