Question 1

A company runs a Java-based job on an Amazon EC2 instance. The job runs every hour and takes 10 seconds to run. The job runs on a scheduled interval and consumes 1 GB of memory. The CPU utilization of the instance is low except for short surges during which the job uses the maximum CPU available. The company wants to optimize the costs to run the job.

Options :

A : Use AWS App2Container (A2C) to containerize the job. Run the job as an Amazon Elastic Container Service (Amazon ECS) task on AWS Fargate with 0.5 virtual CPU (vCPU) and 1 GB of memory.

B : Copy the code into an AWS Lambda function that has 1 GB of memory. Create an Amazon EventBridge scheduled rule to run the code each hour.

C : Use AWS App2Container (A2C) to containerize the job. Install the container in the existing Amazon Machine Image (AMI). Ensure that the schedule stops the container when the task finishes.

D : Configure the existing schedule to stop the EC2 instance at the completion of the job and restart the EC2 instance when the next job starts.

Answer: B

Question 2

A company stores data for multiple business units in a single Amazon S3 bucket that is in the company'spayer AWS account. To maintain data isolation, the business units store data in separate prefixes in the S3bucket by using an S3 bucket policy.The company plans to add a large number of dynamic prefixes. The company does not want to rely on asingle S3 bucket policy to manage data access at scale. The company wants to develop a secure accessmanagement solution in addition to the bucket policy to enforce prefix-level data isolation.

Options :

A : Configure the S3 bucket policy to deny s3:GetObject permissions for all users. Configure the bucket policy to allow s3:* access to individual business units.

B : Enable default encryption on the S3 bucket by using server-side encryption with Amazon S3 managed keys (SSE-S3).

C : Configure resource-based permissions on the S3 bucket by creating an S3 access point for each business unit.

D : Use pre-signed URLs to provide access to the S3 bucket.

Answer: C

Question 3

A company wants to create a long-term storage solution that will allow users to upload terabytes of imagesand videos. The company will use the images and videos to train machine learning (ML) models. The storagesolution must be scalable and cost-optimized.Which solution will meet these requirements?

Options :

A : Provision an Amazon S3 bucket for users to upload images and videos. Copy the data from the S3 bucket to an Amazon FSx for Lustre file system to make the data available for ML model training.

B : Provision an Amazon S3 bucket for users to upload images and videos. Configure the S3 bucket to make the data available to Amazon SageMaker AI training. Store the data in the S3 Intelligent-Tiering storage class.

C : Configure an Amazon SageMaker AI notebook instance with 16 GB of storage. Create a custom application to allow users to upload images and videos directly to the notebook instance.

D : Provision an Amazon S3 bucket for users to upload images and videos. Copy the data from the S3 bucket to an Amazon Elastic File System (Amazon EFS) file system to make the data available for ML model training.

Answer: B

Question 4

A company wants to run a hybrid workload for data processing. The data needs to be accessed by on-premisesapplications for local data processing using an NFS protocol, and must also be accessible from the AWSCloud for further analytics and batch processing.Which solution will meet these requirements?

Options :

A : Use an AWS Storage Gateway file gateway to provide file storage to AWS, then perform analytics on this data in the AWS Cloud.

B : Use an AWS Storage Gateway tape gateway to copy the backup of the local data to AWS, then perform analytics on this data in the AWS Cloud.

C : Use an AWS Storage Gateway volume gateway in a stored volume configuration to regularly take snapshots of the local data, then copy the data to AWS.

D : Use an AWS Storage Gateway volume gateway in a cached volume configuration to back up all the local storage in the AWS Cloud, then perform analytics on this data in the cloud

Answer: A

Question 5

A company hosts its applications in multiple private and public subnets in a VPC. The applications in the private subnets need to access an API. The API is available on the internet and is hosted in the company's onpremises data center. A solutions architect needs to establish connectivity for applications in the private subnets.Which solution will meet these requirements MOST cost-effectively?

Options :

A : Create a transit gateway to connect the VPC to the on-premises network. Use the transit gateway to route API calls from the private subnets to the on-premises data center.

B : Create a NAT gateway in the public subnet of the VPC. Use the NAT gateway to allow the private subnets to access the API over the internet.

C : Establish an AWS PrivateLink connection to connect the VPC to the on-premises network. Use PrivateLink to make API calls from the private subnets to the on-premises data center.

D : Implement an AWS Site-to-Site VPN connection between the VPC and the on-premises data center. Use the VPN connection to make API calls from the private subnets to the on-premises data center.

Answer: D

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