Task 3.2: Create and Script Infrastructure Based on Existing Architecture and Requirements MLA-C01 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which AWS service allows you to define infrastructure using a programming language (e.g., TypeScript, Python) and compile it into CloudFormation templates?

   • AAWS CloudFormation
   • BAWS CDK
   • CAWS CodeDeploy
   • DAWS Elastic Beanstalk
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which AWS service is used to store and manage container images for use with Amazon ECS or Amazon EKS?

   • AAWS Systems Manager
   • BAmazon ECR
   • CAWS CodeArtifact
   • DAmazon S3
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A company hosts a real-time inference endpoint on SageMaker AI for a fraud detection model. The workload is steady during business hours but has unpredictable spikes that can last from a few minutes to an hour. The ML team wants to minimize latency during spikes while keeping costs low. Which scaling policy should they configure?

   • AScheduled scaling to add capacity during business hours only
   • BPredictive scaling using a machine learning model trained on historical traffic
   • CTarget tracking with a custom metric based on invocations per instance
   • DManual scaling to adjust capacity based on weekly monitoring
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A data science team uses AWS CloudFormation to manage their ML training infrastructure. They want to refactor their templates to reduce duplication and enable reuse across multiple projects. The team is comfortable with Python and wants to define infrastructure using familiar programming constructs. Which approach should they use?

   • AWrite a custom Python script that calls the AWS SDK to create resources directly
   • BUse AWS Elastic Beanstalk to manage the ML infrastructure
   • CUse AWS CDK to define the infrastructure as Python code and generate CloudFormation templates
   • DContinue using CloudFormation with nested stacks and parameters
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A company has a SageMaker AI endpoint that serves a recommendation model. The endpoint experiences high latency during peak hours, but CPU utilization remains low. They want to scale the endpoint to improve latency. Which metric should they use for target tracking auto scaling?

   • AInvocations per instance
   • BCPU utilization
   • CMemory utilization
   • DModel latency
   Reveal Solution Discussion Select an answer first