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ML Model Validation: Independent Review That Stands Up to Audit

Reviewing Explainability Evidence and Whether It Is Faithful

Quiz: Reviewing Explainability Evidence and Whether It Is Faithful

Implementation Testing: Does Production Match the Documented Model?

Quiz: Implementation Testing: Does Production Match the Documented Model?

Ongoing Monitoring Requirements Set by the Validator

Quiz: Ongoing Monitoring Requirements Set by the Validator

Writing Validation Findings, Limitations and Use Conditions

Quiz: Writing Validation Findings, Limitations and Use Conditions

Validation Reports That Auditors and Supervisors Accept

Quiz: Validation Reports That Auditors and Supervisors Accept

Revalidation Triggers and Managing the Model Inventory

Quiz: Revalidation Triggers and Managing the Model Inventory

Final exam: ML Model Validation: Independent Review That Stands Up to Audit

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Quiz: Implementation Testing: Does Production Match the Documented Model?

ML Model Validation: Independent Review That Stands Up to Audit
Implementation Testing: Does Production Match the Documented Model?
Quiz: Implementation Testing: Does Production Match the Documented Model?

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Question 1 of 5

1. Question

Implementation testing ensures that the deployed machine learning system operates as documented in the model specification.

Implementation testing confirms that the model meets regulatory requirements.
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Implementation testing ensures that the deployed system matches the documented model behavior.
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Implementation testing verifies that the model is trained on sufficient data.
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Implementation testing checks that the model is user-friendly.
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Question 2 of 5

2. Question

In the example of the credit scoring model, what decision should be made for applicants with income below £20,000 and credit history scores under 500?

The applicant should be referred to a human reviewer.
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The applicant should be automatically approved.
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The applicant should be automatically rejected.
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The applicant should be sent for further investigation.
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Question 3 of 5

3. Question

Which type of testing validates that existing functionality continues to work correctly after system updates?

Boundary testing
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Integration testing
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Regression testing
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Performance testing
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Question 4 of 5

4. Question

What must test scripts specify according to the lesson text?

The computational resources required for testing.
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The names of the testing team members.
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The inputs to provide and the expected outputs.
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The date when testing was completed.
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Question 5 of 5

5. Question

What is one of the key purposes of documentation verification during implementation testing?

To ensure that the model is visually appealing.
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To provide evidence during regulatory audits or reviews.
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To reduce the cost of model deployment.
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To increase the speed of data processing.
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