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Certified Artificial Intelligence Practitioner (CAIP)

Domain 4Objective 2

Objective 4.2 Secure a Pipeline (includes Maintenance) AIP-210 Practice Questions (Page 6)

Part of the 4.0 Operationalizing ML Models domain, which accounts for 30% of the AIP-210 exam.

32questions here
7free pages
8concepts
30%of the exam

Questions 26–30

  1. 26foundation · easy

    What is the primary purpose of setting up alerts in an ML pipeline's monitoring system?

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  2. 27application · medium

    A European bank's ML pipeline processes customer data that is subject to GDPR. The pipeline runs in a public cloud region in the EU, and the bank must demonstrate to a regulator that only authorized personnel can access the raw data and that all access is logged. The bank also needs to prove that data is not transferred outside the EU. What should the ML platform team implement?

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  3. 28expert · hard

    A government contractor's ML pipeline processes classified data. The pipeline uses Azure Blob Storage for raw data and model artifacts. The security policy requires that data be encrypted with customer-managed keys (CMK) and that the keys be rotated every 90 days. The ML team is concerned that key rotation could break the pipeline if the old key is not available when the data is accessed. What should the team implement to ensure data remains accessible during and after key rotation?

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  4. 29foundation · easy

    Which technique is used to verify the integrity of a model artifact by generating a unique fixed-size string from its contents?

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  5. 30application · medium

    A manufacturing company runs a computer-vision model on Azure Kubernetes Service (AKS) for quality inspection. The Kubernetes cluster and the model's base Docker image are several versions behind, and the security team has identified critical vulnerabilities in both. The ML team wants to update the cluster and the image without disrupting the production service. What is the most appropriate approach?

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