AWS Certified AI Practitioner AIF-C01 Practice Question
A team wants the lowest-cost approach that still protects an Amazon SageMaker real-time inference endpoint from a single Availability Zone failure. Which deployment option best meets this goal?
Deploy identical endpoints in two AWS Regions and use Amazon Route 53 failover routing.
Create the endpoint with two instances so SageMaker distributes them across different Availability Zones in the same Region.
Run the model as AWS Lambda functions with provisioned concurrency enabled in every Region.
Build a multi-model endpoint and place dedicated instances for each model in separate Regions.
Amazon SageMaker automatically spreads endpoint instances across multiple Availability Zones when two or more instances are specified. Setting the endpoint's instance count to two therefore delivers zone-level redundancy with only one additional instance's cost. Multi-Region deployments or provisioning capacity in every Region provide broader fault tolerance but significantly increase infrastructure and data transfer charges. Running a single-instance endpoint offers no redundancy at all. Multi-model endpoints do not change the redundancy behavior; deploying them separately in each Region would still incur higher cost than simply adding a second instance in the same Region.
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What is an Availability Zone in AWS?
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How does Amazon SageMaker handle redundancy for endpoints?
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Why is deploying in multiple AWS Regions more expensive than using multiple instances in one Region?
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AWS Certified AI Practitioner AIF-C01
Fundamentals of Generative AI
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