Q41. A company uses an Amazon DynamoDB table to store data that the company receives from devices. The DynamoDB table supports a customer-facing website to display recent activity on customer devices. The company configured the table with provisioned throughput for writes and reads.
The company wants to calculate performance metrics for customer device data on a daily basis. The solution must have minimal effect on the table’s provisioned read and write capacity.
Which solution will meet these requirements?
A. Use an Amazon Athena SQL query with the Amazon Athena DynamoDB connector to calculate performance metrics on a recurring schedule.
B. Use an AWS Glue job with the AWS Glue DynamoDB export connector to calculate performance metrics on a recurring schedule.
C. Use an Amazon Redshift COPY command to calculate performance metrics on a recurring schedule.
D. Use an Amazon EMR job with an Apache Hive external table to calculate performance metrics on a recurring schedule.
Answer
B
Q42. A solutions architect is designing the cloud architecture for a new stateless application that will be deployed on AWS. The solutions architect created an Amazon Machine Image (AMI) and launch template for the application.
Based on the number of jobs that need to be processed, the processing must run in parallel while adding and removing application Amazon EC2 instances as needed. The application must be loosely coupled. The job items must be durably stored.
Which solution will meet these requirements?
A. Create an Amazon Simple Notification Service (Amazon SNS) topic to send the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on CPU usage.
B. Create an Amazon Simple Queue Service (Amazon SQS) queue to hold the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on network usage.
C. Create an Amazon Simple Queue Service (Amazon SQS) queue to hold the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on the number of items in the SQS queue.
D. Create an Amazon Simple Notification Service (Amazon SNS) topic to send the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on the number of messages published to the SNS topic.
Answer
C
Q43. A global ecommerce company uses a monolithic architecture. The company needs a solution to manage the increasing volume of product data. The solution must be scalable and have a modular service architecture. The company needs to maintain its structured database schemas. The company also needs a storage solution to store product data and product images.
Which solution will meet these requirements with the LEAST operational overhead?
A. Use an Amazon EC2 instance in an Auto Scaling group to deploy a containerized application. Use an Application Load Balancer to distribute web traffic. Use an Amazon RDS DB instance to store product data and product images.
B. Use AWS Lambda functions to manage the existing monolithic application. Use Amazon DynamoDB to store product data and product images. Use Amazon Simple Notification Service (Amazon SNS) for event-driven communication between the Lambda functions.
C. Use Amazon Elastic Kubernetes Service (Amazon EKS) with an Amazon EC2 deployment to deploy a containerized application. Use an Amazon Aurora cluster to store the product data. Use AWS Step Functions to manage workflows. Store the product images in Amazon S3 Glacier Deep Archive.
D. Use Amazon Elastic Container Service (Amazon ECS) with AWS Fargate to deploy a containerized application. Use Amazon RDS with a Multi-AZ deployment to store the product data. Store the product images in an Amazon S3 bucket.
Answer
D
Q44. A company is migrating an application from an on-premises environment to AWS. The application will store sensitive data in Amazon S3. The company must encrypt the data before storing the data in Amazon S3.
Which solution will meet these requirements?
A. Encrypt the data by using client-side encryption with customer managed keys.
B. Encrypt the data by using server-side encryption with AWS KMS keys (SSE-KMS).
C. Encrypt the data by using server-side encryption with customer-provided keys (SSE-C).
D. Encrypt the data by using client-side encryption with Amazon S3 managed keys.
Answer
A
Q45. A company wants to create an Amazon EMR cluster that multiple teams will use. The company wants to ensure that each team’s big data workloads can access only the AWS services that each team needs to interact with. The company does not want the workloads to have access to Instance Metadata Service Version 2 (IMDSv2) on the cluster’s underlying EC2 instances.
Which solution will meet these requirements?
A. Configure interface VPC endpoints for each AWS service that the teams need. Use the required interface VPC endpoints to submit the big data workloads.
B. Create EMR runtime roles. Configure the cluster to use the runtime roles. Use the runtime roles to submit the big data workloads.
C. Create an EC2 IAM instance profile that has the required permissions for each team. Use the instance profile to submit the big data workloads.
D. Create an EMR security configuration that has the EnableApplicationScopedIAMRole option set to false. Use the security configuration to submit the big data workloads.
Answer
B
Q46. A solutions architect is designing an application that helps users fill out and submit registration forms. The solutions architect plans to use a two-tier architecture that includes a web application server tier and a worker tier.
The application needs to process submitted forms quickly. The application needs to process each form exactly once. The solution must ensure that no data is lost.
Which solution will meet these requirements?
A. Use an Amazon Simple Queue Service (Amazon SQS) FIFO queue between the web application server tier and the worker tier to store and forward form data.
B. Use an Amazon API Gateway HTTP API between the web application server tier and the worker tier to store and forward form data.
C. Use an Amazon Simple Queue Service (Amazon SQS) standard queue between the web application server tier and the worker tier to store and forward form data.
D. Use an AWS Step Functions workflow. Create a synchronous workflow between the web application server tier and the worker tier that stores and forwards form data.
Answer
A
Q47. A finance company uses an on-premises search application to collect streaming data from various producers. The application provides real-time updates to search and visualization features.
The company is planning to migrate to AWS and wants to use an AWS native solution.
Which solution will meet these requirements?
A. Use Amazon EC2 instances to ingest and process the data streams to Amazon S3 buckets tor storage. Use Amazon Athena to search the data. Use Amazon Managed Grafana to create visualizations.
B. Use Amazon EMR to ingest and process the data streams to Amazon Redshift for storage. Use Amazon Redshift Spectrum to search the data. Use Amazon QuickSight to create visualizations.
C. Use Amazon Elastic Kubernetes Service (Amazon EKS) to ingest and process the data streams to Amazon DynamoDB for storage. Use Amazon CloudWatch to create graphical dashboards to search and visualize the data.
D. Use Amazon Kinesis Data Streams to ingest and process the data streams to Amazon OpenSearch Service. Use OpenSearch Service to search the data. Use Amazon QuickSight to create visualizations.
Answer
D
Q48. A company currently runs an on-premises application that usesASP.NET on Linux machines. The application is resource-intensive and serves customers directly.
The company wants to modernize the application to .NET. The company wants to run the application on containers and to scale based on Amazon CloudWatch metrics. The company also wants to reduce the time spent on operational maintenance activities.
Which solution will meet these requirements with the LEAST operational overhead?
A. Use AWS App2Container to containerize the application. Use an AWS CloudFormation template to deploy the application to Amazon Elastic Container Service (Amazon ECS) on AWS Fargate.
B. Use AWS App2Container to containerize the application. Use an AWS CloudFormation template to deploy the application to Amazon Elastic Container Service (Amazon ECS) on Amazon EC2 instances.
C. Use AWS App Runner to containerize the application. Use App Runner to deploy the application to Amazon Elastic Container Service (Amazon ECS) on AWS Fargate.
D. Use AWS App Runner to containerize the application. Use App Runner to deploy the application to Amazon Elastic Kubernetes Service (Amazon EKS) on Amazon EC2 instances.
Answer
A
Q49. A company is designing a new internal web application in the AWS Cloud. The new application must securely retrieve and store multiple employee usernames and passwords from an AWS managed service.
Which solution will meet these requirements with the LEAST operational overhead?
A. Store the employee credentials in AWS Systems Manager Parameter Store. Use AWS CloudFormation and the BatchGetSecretValue API to retrieve usernames and passwords from Parameter Store.
B. Store the employee credentials in AWS Secrets Manager. Use AWS CloudFormation and AWS Batch with the BatchGetSecretValue API to retrieve the usernames and passwords from Secrets Manager.
C. Store the employee credentials in AWS Systems Manager Parameter Store. Use AWS CloudFormation and AWS Batch with the BatchGetSecretValue API to retrieve the usernames and passwords from Parameter Store.
D. Store the employee credentials in AWS Secrets Manager. Use AWS CloudFormation and the BatchGetSecretValue API to retrieve the usernames and passwords from Secrets Manager.
Answer
D
Q50. A company that is in the ap-northeast-1 Region has a fleet of thousands of AWS Outposts servers. The company has deployed the servers at remote locations around the world. All the servers regularly download new software versions that consist of 100 files. There is significant latency before all servers run the new software versions.
The company must reduce the deployment latency for new software versions.
Which solution will meet this requirement with the LEAST operational overhead?
A. Create an Amazon S3 bucket in ap-northeast-1. Set up an Amazon CloudFront distribution in ap-northeast-1 that includes a CachingDisabled cache policy. Configure the S3 bucket as the origin. Download the software by using signed URLs.
B. Create an Amazon S3 bucket in ap-northeast-1. Create a second S3 bucket in the us-east-1 Region. Configure replication between the buckets. Set up an Amazon CloudFront distribution that uses ap-northeast-1 as the primary origin and us-east-1 as the secondary origin. Download the software by using signed URLs.
C. Create an Amazon S3 bucket in ap-northeast-1. Configure Amazon S3 Transfer Acceleration. Download the software by using the S3 Transfer Acceleration endpoint.
D. Create an Amazon S3 bucket in ap-northeast-1. Set up an Amazon CloudFront distribution. Configure the S3 bucket as the origin. Download the software by using signed URLs.
Answer
D