IBM C9008000 watsonx governance v1 Practice Exam
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Official Name: IBM C9008000 IBM Certified watsonx Governance Lifecycle Advisor v1 – Associate
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Start NowAbout the IBM C9008000 watsonx governance v1 Certification
The IBM C9008000 watsonx governance v1 certification is designed for professionals who support AI governance and lifecycle management using watsonx tools. includes policy setup, model tracking, and compliance alignment. As technology evolves and industry demands grow more complex; this credential validates your ability to apply real-world skills and knowledge using IBM tools and frameworks. Earning the certification positions you as a trusted expert, capable of solving high-impact challenges and contributing to secure, scalable, and efficient systems.
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Test Your Knowledge of IBM C9008000 watsonx governance v1
Question #1
A financial institution wants to ensure AI models comply with internal governance policies.
Which watsonx feature supports this requirement?
A) Lifecycle governance framework
B) Model training accelerator
C) Prompt engineering studio
D) Data lake integration
Solution
Correct answers: A – Explanation:
The lifecycle governance framework enforces policy controls throughout model development and deployment. Training accelerators and prompt tools aid performance, but governance is key here.
Question #2
A healthcare provider needs to track model lineage for audit purposes.
What capability enables this in watsonx?
A) Model metadata tracking
B) Prompt versioning
C) Data lake snapshots
D) Role-based dashboards
Solution
Correct answers: A – Explanation:
Metadata tracking records model origin, changes, and usage for auditability. Prompt versioning and dashboards support visibility but not full lineage.
Question #3
A government agency wants to restrict access to sensitive model outputs.
Which watsonx feature helps enforce this?
A) Role-based access control
B) Prompt filtering
C) Model compression
D) Data masking
Solution
Correct answers: A – Explanation:
Role-based access control limits who can view or modify model outputs. Filtering and masking help with data, but access control governs permissions.
Question #4
A retail company wants to monitor model performance over time.
What watsonx capability supports this?
A) Continuous evaluation
B) Static benchmarking
C) Manual reporting
D) Prompt testing
Solution
Correct answers: A – Explanation:
Continuous evaluation tracks model accuracy and drift over time. Benchmarking is one-time, reporting is manual, and prompt testing is limited.
Question #5
A telecom provider needs to validate model fairness across demographics.
Which watsonx feature is relevant?
A) Bias detection and mitigation
B) Prompt optimization
C) Model compression
D) Data lake integration
Solution
Correct answers: A – Explanation:
Bias detection tools assess and correct demographic imbalances. Prompt optimization and compression aid performance, not fairness.
Question #6
An enterprise wants to automate governance checks before model deployment.
What watsonx capability enables this?
A) Pre-deployment policy validation
B) Manual audit checklist
C) Static rule enforcement
D) Prompt review workflow
Solution
Correct answers: A – Explanation:
Pre-deployment validation automates governance compliance. Manual audits and static rules are slower and less adaptive.
Question #7
A startup wants to document model decisions for transparency.
Which feature supports this?
A) Explainability reports
B) Prompt logs
C) Data lineage snapshots
D) Data lake integration
Solution
Correct answers: A – Explanation:
Explainability reports clarify how models make decisions. Logs and snapshots aid tracking, dashboards visualize but don’t explain.
Question #8
A university research team needs to compare model versions.
What watsonx tool helps?
A) Version comparison dashboard
B) Prompt history viewer
C) Static model archive
D) Manual diff tool
Solution
Correct answers: A – Explanation:
The lifecycle governance framework enforces policy controls throughout model development and deployment. Training accelerators and prompt tools aid performance, but governance is key here.
Question #9
A bank wants to ensure models meet regulatory standards.
Which watsonx capability supports this?
A) Compliance tagging
B) Prompt engineering
C) Model acceleration
D) Data lake ingestion
Solution
Correct answers: A – Explanation:
Compliance tagging labels models with regulatory attributes. Prompt engineering and acceleration aid performance, ingestion handles data.
Question #10
A logistics firm wants to track model usage across departments.
What feature enables this?
A) Usage analytics dashboard
B) Prompt frequency tracker
C) Static access logs
D) Manual reporting
Solution
Correct answers: A – Explanation:
The dashboard provides real-time insights into model usage. Logs and manual reports are less dynamic, prompt tracking is limited.
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