1. Which of the following instance types is optimized for compute-intensive workloads and provides the lowest cost per vCPU in Amazon EC2?
A) P3 B) R5 C) M5 D) C5 E) T3
2. A company wants to build a chatbot using Amazon Lex to automate their customer support process. They want to use multiple channels such as web, mobile, and messaging platforms to interact with customers. What is the most suitable integration option for them to implement the chatbot?
A) Twilio integration B) Slack integration C) Amazon Connect integration D) Amazon API Gateway integration E) Facebook integration
3. Which of the following statements accurately describes Amazon Elastic File System (Amazon EFS)?
A) Amazon EFS is an object storage service that allows users to store and retrieve any amount of data from anywhere in the world. B) Amazon EFS provides a scalable and fully managed file storage service that is accessible from on-premises and cloud-based resources via the Network File System (NFS) protocol. C) Amazon EFS is a scalable and fully managed file storage service that is accessible from AWS resources using the Amazon S3 API. D) Amazon EFS provides a block-level storage service that is optimized for high performance and low latency access, making it ideal for machine learning workloads. E) Amazon EFS is a cloud-based data warehouse service that allows users to store and analyze large amounts of structured and unstructured data.
4. A data science team is developing a machine learning application using Amazon ECS for container orchestration. The application needs to process large amounts of data and requires scalable compute capacity. The team has decided to use Spot Instances to save costs. Which of the following statements is true regarding the use of Spot Instances in Amazon ECS?
A) Spot Instances can be used in Amazon ECS but require the use of a custom scheduler B) Spot Instances are not supported in Amazon ECS C) Spot Instances can only be used in Amazon ECS if the instances are launched as part of an Auto Scaling group D) Spot Instances can be used in Amazon ECS without any additional configuration
5. A manufacturing company wants to build an ML model that can predict equipment failure based on sensor data from their production line. Which AWS ML application service would be most appropriate for this use case, considering the need for real-time predictions, scalability, and the ability to handle streaming data?
A) Amazon SageMaker B) Amazon Kinesis Data Analytics C) Amazon Forecast D) Amazon Fraud Detector E) Amazon Personalize
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