Practice Test Geeks(CAIC) Certified AI Consultant Practice Test
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Cloud Infrastructure Flashcards

7 cards from real CAIC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Cloud Infrastructure flashcards as text

  1. Which cloud-native design pattern helps ensure an AI inference service remains available even when a downstream dependency fails?

    Answer: Circuit breaker pattern

    The circuit breaker pattern stops cascading failures by temporarily halting requests to an unhealthy dependency and returning a fallback response.

  2. A cloud AI platform uses object storage for model artifacts. Which versioning strategy ensures traceability between code, data, and model?

    Answer: Use content-addressable storage with SHA-256 hashes tied to git commit IDs

    Content-addressable hashes linked to git commits create an immutable, traceable lineage connecting source code, training data snapshots, and resulting model weights.

  3. Which cloud security principle dictates that an AI service should only have the minimum permissions required to perform its function?

    Answer: Principle of least privilege

    The principle of least privilege limits the blast radius of a compromised service by restricting its IAM permissions to only what it needs.

  4. What advantage does a managed Kubernetes service (e.g., EKS, GKE, AKS) offer over self-managed Kubernetes for AI deployments?

    Answer: Offloads control plane management, patching, and upgrades to the cloud provider

    Managed Kubernetes handles etcd, API server HA, and version upgrades, freeing teams to focus on workload configuration rather than cluster operations.

  5. An AI consultant is designing a disaster recovery plan for a production model serving pipeline. Which RTO/RPO combination represents the strictest requirement?

    Answer: RTO=15min, RPO=1min

    Lower RTO (recovery time) and RPO (recovery point) values indicate stricter requirements; 15-minute RTO and 1-minute RPO demand near-real-time replication and hot standby.

  6. Which cloud cost optimization technique involves purchasing compute capacity commitments in exchange for a discounted rate for AI workloads with predictable usage?

    Answer: Reserved instances or savings plans

    Reserved instances and savings plans offer 30–72% discounts versus on-demand pricing in exchange for 1- or 3-year usage commitments.

  7. In cloud AI infrastructure, what is 'data gravity' and why does it matter?

    Answer: The tendency of large datasets to attract compute because moving data is expensive and slow

    Data gravity describes how large data volumes become expensive and slow to move, pulling AI compute workloads toward wherever the data already resides.