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IBM Certified watsonx Governance Lifecycle Advisor v1 - Associate — Requirements & Free Practice

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IBM Certified watsonx Governance Lifecycle Advisor v1 - Associate

Associate certification for governing AI use cases across their lifecycle using watsonx.governance.

Licensing authority: IBM

Initial by examination
IBM watsonx Governance Lifecycle Advisor v1 - Associate
Horizon
Current Live status with no announced withdrawal boundary does not guarantee an appointment during 2026-11-25 through 2027-02-28; no future seat was reserved or confirmed.
Issuance
Accept the IBM Certification Agreement before issuance; when all certification requirements are achieved the certification is automatically issued, with certificate and associated badge instructions.
Qualification
Pass the single required certification exam C1000-195. IBM presumes relevant on-the-job experience; recommended learning resources and the separate preparedness assessment are preparation, not additional credential examinations. The current official single-exam credential record and Requirements section control the dependency set.
Registration
Create a Pearson VUE IBM testing account, register under the government-issued ID name and satisfy testing identification requirements. Online candidates must pass the system check and have a private, quiet, clean environment; available delivery methods and actual appointments are determined in Pearson VUE scheduling. No school enrollment or institution-arranged seat requirement is stated in the current certification requirements.

IBM watsonx Governance Lifecycle Advisor v1 - Associate

Provider
Pearson VUE
Format
Multiple choice and build list; English, proctored at a test center or online with OnVUE where available.
Exam questions
Total questions: 64.
Time limit
90 minutes
Passing score
46 questions correct to pass
Examination outline
  • AI Governance Lifecycle Overview (22%)
    • Define AI Governance and its importance in the enterprise
    • Describe all the stages of AI Lifecycle Governance
    • Determine the roles and responsibilities of stakeholders in AI governance
    • Understand high level requirements of regulatory environments and external organization perception
    • Understand the organization’s escalation and review processes, issue management processes, change management processes
  • Configure watsonx.governance (20%)
    • Map the organization structure to watsonx.governance
    • Identify supported machine learning engines and frameworks
    • Configure roles/profiles of those involved in the AI Governance process
    • Configure workflows for end-to-end AI lifecycle
    • Create questionnaires & workflows to govern the AI lifecycle according to organization's processes
    • Create custom reports and dashboards to support AI governance and compliance
    • Establish a risk methodology
    • Establish a risk atlas
  • Define and govern the AI Use Case Inventory (17%)
    • Create/establish a full AI inventory
    • Define an AI use case
    • Identify the risks associated with an AI use case
    • Asses and map legal requirements to watsonx governance thresholds
  • AI Lifecycle Governance (22%)
    • Associate AI assets with an AI use case and progress it through the lifecycle
    • Track Use Cases through Development, Validation, Production, and Retirement
    • Utilize watsonx.governance capabilities to capture AI model lineage and versioning
    • Articulate common AI asset metadata for different types of AI
  • Configure the Evaluation and Monitoring Service (19%)
    • Identify and configure Design Time evaluations
    • Identify and configure runtime monitors for a deployed model
    • Identify and configure model explainability and create reports
    • Ensure Guardrails are established
    • Monitor and report production models
    • Analyze model insights and explaining model transactions
Examination sources