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 deployment model gives an organization the most control over its AI infrastructure while still leveraging cloud scalability?

    Answer: Private cloud

    Private cloud gives organizations full control over hardware, networking, and security while still using cloud-style orchestration and scalability.

  2. An AI workload requires low-latency access to a large dataset stored in object storage. Which architectural pattern best addresses this?

    Answer: Cache the dataset in a distributed in-memory store close to compute nodes

    Placing a distributed in-memory cache (e.g., Redis or Memcached) adjacent to compute nodes minimizes latency for frequent dataset access.

  3. What is the primary advantage of using spot (preemptible) instances for AI training jobs?

    Answer: Significantly lower cost compared to on-demand instances

    Spot instances can cost 60–90% less than on-demand instances, making them attractive for fault-tolerant, checkpoint-enabled training jobs.

  4. A team is deploying an AI inference service that must handle unpredictable traffic spikes. Which cloud feature is MOST appropriate?

    Answer: Auto-scaling groups with load balancers

    Auto-scaling groups dynamically add or remove instances based on demand, ensuring availability during spikes while controlling costs during low traffic.

  5. Which storage class is most cost-effective for storing AI training data that is accessed once per month for retraining?

    Answer: Infrequent access (warm) storage

    Infrequent access storage tiers (e.g., AWS S3-IA, Azure Cool Blob) balance retrieval speed with lower storage costs for data accessed monthly.

  6. In a multi-cloud AI strategy, what is the biggest operational challenge?

    Answer: Data gravity and consistent governance across providers

    Data gravity—the cost and complexity of moving large datasets—combined with inconsistent IAM and compliance policies is the dominant multi-cloud challenge.

  7. Which Kubernetes resource object is used to ensure a specific number of AI inference pod replicas are always running?

    Answer: ReplicaSet

    A ReplicaSet (or Deployment wrapping one) continuously monitors and maintains the desired number of pod replicas for high availability.