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Viewing questions 221-240 out of questions

Questions # 221:

A company hosts a website analytics application on a single Amazon EC2 On-Demand Instance. The analytics software is written in PHP and uses a MySQL database. The analytics software, the web server that provides PHP, and the database server are all hosted on the EC2 instance. The application is showing signs of performance degradation during busy times and is presenting 5xx errors. The company needs to make the application scale seamlessly.

Which solution will meet these requirements MOST cost-effectively?

Options:

Migrate the database to an Amazon RDS for MySQL DB instance. Create an AMI of the web application. Use the AMI to launch a second EC2 On-Demand Instance. Use an Application Load Balancer to distribute the load to each EC2 instance.

Migrate the database to an Amazon RDS for MySQL DB instance. Create an AMI of the web application. Use the AMI to launch a second EC2 On-Demand Instance. Use Amazon Route 53 weighted routing to distribute the load across the two EC2 instances.

Migrate the database to an Amazon Aurora MySQL DB instance. Create an AWS Lambda function to stop the EC2 instance and change the instance type. Create an Amazon CloudWatch alarm to invoke the Lambda function when CPU utilization surpasses 75%.

Migrate the database to an Amazon Aurora MySQL DB instance. Create an AMI of the web application. Apply the AMI to a launch template. Create an Auto Scaling group with the launch template Configure the launch template to use a Spot Fleet. Attach an Application Load Balancer to the Auto Scaling group.

Questions # 222:

A gaming company has a web application that displays scores. The application runs on Amazon EC2 instances behind an Application Load Balancer. The application stores data in an Amazon RDS for MySQL database. Users are starting to experience long delays and interruptions that are caused by database read performance. The company wants to improve the user experience while minimizing changes to the application's architecture.

What should a solutions architect do to meet these requirements?

Options:

Use Amazon ElastiCache in front of the database.

Use RDS Proxy between the application and the database.

Migrate the application from EC2 instances to AWS Lambda.

Migrate the database from Amazon RDS for MySQL to Amazon DynamoDB.

Questions # 223:

A company wants to run applications in containers in the AWS Cloud. These applications are stateless and can tolerate disruptions within the underlying infrastructure. The company needs a solution that minimizes cost and operational overhead.

What should a solutions architect do to meet these requirements?

Options:

Use Spot Instances in an Amazon EC2 Auto Scaling group to run the application containers.

Use Spot Instances in an Amazon Elastic Kubernetes Service (Amazon EKS) managed node group.

Use On-Demand Instances in an Amazon EC2 Auto Scaling group to run the application containers.

Use On-Demand Instances in an Amazon Elastic Kubernetes Service (Amazon EKS) managed node group.

Questions # 224:

A company's application Is having performance issues The application staleful and needs to complete m-memory tasks on Amazon EC2 instances. The company used AWS CloudFormation to deploy infrastructure and used the M5 EC2 Instance family As traffic increased, the application performance degraded Users are reporting delays when the users attempt to access the application.

Which solution will resolve these issues in the MOST operationally efficient way?

Options:

Replace the EC2 Instances with T3 EC2 instances that run in an Auto Scaling group. Made the changes by using the AWS Management Console.

Modify the CloudFormation templates to run the EC2 instances in an Auto Scaling group. Increase the desired capacity and the maximum capacity of the Auto Scaling group manually when an increase is necessary

Modify the CloudFormation templates. Replace the EC2 instances with R5 EC2 instances. Use Amazon CloudWatch built-in EC2 memory metrics to track the application performance for future capacity planning.

Modify the CloudFormation templates. Replace the EC2 instances with R5 EC2 instances. Deploy the Amazon CloudWatch agent on the EC2 instances to generate custom application latency metrics for future capacity planning.

Questions # 225:

An entertainment company is using Amazon DynamoDB to store media metadata. The application is read intensive and experiencing delays. The company does not have staff to handle additional operational overhead and needs to improve the performance efficiency of DynamoDB without reconfiguring the application.

What should a solutions architect recommend to meet this requirement?

Options:

Use Amazon ElastiCache for Redis.

Use Amazon DynamoDB Accelerator (DAX).

Replicate data by using DynamoDB global tables.

Use Amazon ElastiCache for Memcached with Auto Discovery enabled.

Questions # 226:

A company wants to migrate its existing on-premises monolithic application to AWS.

The company wants to keep as much of the front- end code and the backend code as possible. However, the company wants to break the application into smaller applications. A different team willmanage each application. The company needs a highly scalable solution that minimizes operational overhead.

Which solution will meet these requirements?

Options:

Host the application on AWS Lambda Integrate the application with Amazon API Gateway.

Host the application with AWS Amplify. Connect the application to an Amazon API Gateway API that is integrated with AWS Lambda.

Host the application on Amazon EC2 instances. Set up an Application Load Balancer with EC2 instances in an Auto Scaling group as targets.

Host the application on Amazon Elastic Container Service (Amazon ECS) Set up an Application Load Balancer with Amazon ECS as the target.

Questions # 227:

A solutions architect needs to implement a solution to reduce a company's storage costs. All the company's data is in the Amazon S3 Standard storage class. The company must keep all data for at least 25 years. Data from the most recent 2 years must be highly available and immediately retrievable.

Which solution will meet these requirements?

Options:

Set up an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive immediately.

Set up an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 2 years.

Use S3 Intelligent-Tiering. Activate the archiving option to ensure that data is archived in S3 Glacier Deep Archive.

Set up an S3 Lifecycle policy to transition objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) immediately and to S3 Glacier Deep Archive after 2 years.

Questions # 228:

An online retail company has more than 50 million active customers and receives more than 25,000 orders each day. The company collects purchase data for customers and stores this data in Amazon S3. Additional customer data is stored in Amazon RDS.

The company wants to make all the data available to various teams so that the teams can perform analytics. The solution must provide the ability to manage fine-grained permissions for the data and must minimize operational overhead.

Which solution will meet these requirements?

Options:

Migrate the purchase data to write directly to Amazon RDS. Use RDS access controls to limit access.

Schedule an AWS Lambda function to periodically copy data from Amazon RDS to Amazon S3. Create an AWS Glue crawler. Use Amazon Athena to query the data. Use S3 policies to limit access.

Create a data lake by using AWS Lake Formation. Create an AWS Glue JDBC connection to Amazon RDS. Register (he S3 bucket in Lake Formation. Use Lake Formation access controls to limit access.

Create an Amazon Redshift cluster. Schedule an AWS Lambda function to periodically copy data from Amazon S3 and Amazon RDS to Amazon Redshift. Use Amazon Redshift access controls to limit access.

Questions # 229:

A large media company hosts a web application on AWS. The company wants to start caching confidential media files so that users around the world will have reliable access to the files. The content is stored in Amazon S3 buckets. The company must deliver the content quickly, regardless of where the requests originate geographically.

Which solution will meet these requirements?

Options:

Use AWS DataSync to connect the S3 buckets to the web application.

Deploy AWS Global Accelerator to connect the S3 buckets to the web application.

Deploy Amazon CloudFront to connect the S3 buckets to CloudFront edge servers.

Use Amazon Simple Queue Service (Amazon SQS) to connect the S3 buckets to the web application.

Questions # 230:

A security team wants to limit access to specific services or actions in all of the team's AWS accounts. All accounts belong to a large organization in AWS Organizations. The solution must be scalable and there must be a single point where permissions can be maintained.

What should a solutions architect do to accomplish this?

Options:

Create an ACL to provide access to the services or actions.

Create a security group to allow accounts and attach it to user groups.

Create cross-account roles in each account to deny access to the services or actions.

Create a service control policy in the root organizational unit to deny access to the services or actions.

Questions # 231:

A company has a legacy data processing application that runs on Amazon EC2 instances. Data is processed sequentially, but the order of results does not matter. The application uses a monolithicarchitecture. The only way that the company can scale the application to meet increased demand is to increase the size of the instances.

The company's developers have decided to rewrite the application to use a microservices architecture on Amazon Elastic Container Service (Amazon ECS).

What should a solutions architect recommend for communication between the microservices?

Options:

Create an Amazon Simple Queue Service (Amazon SQS) queue. Add code to the data producers, and send data to the queue. Add code to the data consumers to process data from the queue.

Create an Amazon Simple Notification Service (Amazon SNS) topic. Add code to the data producers, and publish notifications to the topic. Add code to the data consumers to subscribe to the topic.

Create an AWS Lambda function to pass messages. Add code to the data producers to call the Lambda function with a data object. Add code to the data consumers to receive a data object that is passed from the Lambda function.

Create an Amazon DynamoDB table. Enable DynamoDB Streams. Add code to the data producers to insert data into the table. Add code to the data consumers to use the DynamoDB Streams API to detect new table entries and retrieve the data.

Questions # 232:

A hospital wants to create digital copies for its large collection of historical written records. The hospital will continue to add hundreds of new documents each day. The hospital's data team will scan the documents and will upload the documents to the AWS Cloud.

A solutions architect must implement a solution to analyze the documents, extract the medical information, and store the documents so that an application can run SQL queries on the data. The solution must maximize scalability and operational efficiency.

Which combination of steps should the solutions architect take to meet these requirements? (Select TWO.)

Options:

Write the document information to an Amazon EC2 instance that runs a MySQL database.

Write the document information to an Amazon S3 bucket. Use Amazon Athena to query the data.

Create an Auto Scaling group of Amazon EC2 instances to run a custom application that processes the scanned files and extracts the medical information.

Create an AWS Lambda function that runs when new documents are uploaded. Use Amazon Rekognition to convert the documents to raw text. Use Amazon Transcribe Medical to detect and extract relevant medical information from the text.

Create an AWS Lambda function that runs when new documents are uploaded. Use Amazon Textract to convert the documents to raw text. Use Amazon Comprehend Medical to detect and extract relevant medical information from the text.

Answer

B, E

Explanation

This solution meets the requirements of creating digital copies for a large collection of historical written records, analyzing the documents, extracting the medical information, and storing the documents so that an application can run SQL queries on the data. Writing the document information to an Amazon S3 bucket can provide scalable and durable storage for the scanned files. Using Amazon Athena to query the data can provide serverless and interactive SQL analysis on data stored in S3. Creating an AWS Lambda function that runs when new documents are uploaded can provide event-driven and serverless processing of the scanned files. Using Amazon Textract to convert the documents to raw text can provide accurate optical character recognition (OCR) and extraction of structured data such as tables and forms from documents using artificial intelligence (AI). Using Amazon Comprehend Medical to detect and extract relevant medical information from the text can provide natural language processing (NLP) service that uses machine learning that has been pre-trained to understand and extract health data from medical text.

Option A is incorrect because writing the document information to an Amazon EC2 instance that runs a MySQL database can increase the infrastructure overhead and complexity, and it may not be able to handle large volumes of data. Option C is incorrect because creating an Auto Scaling group of Amazon EC2 instances to run a custom application that processes the scanned files and extracts the medical information can increase the infrastructure overhead and complexity, and it may not be able to leverageexisting AI and NLP services such as Textract and Comprehend Medical. Option D is incorrect because using Amazon Rekognition to convert the documents to raw text can provide image and video analysis, but it does not support OCR or extraction of structured data from documents. Using Amazon Transcribe Medical to detect and extract relevant medical information from the text can provide speech-to-text transcription service for medical conversations, but it does not support text analysis or extraction of health data from medical text.

[References:, https://aws.amazon.com/s3/, https://aws.amazon.com/athena/, https://aws.amazon.com/lambda/, https://aws.amazon.com/textract/, https://aws.amazon.com/comprehend/medical/, , , , ]

Questions # 233:

A company recently started using Amazon Aurora as the data store for its global ecommerce application When large reports are run developers report that the ecommerce application is performing poorly After reviewing metrics in Amazon CloudWatch, a solutions architect finds that the ReadlOPS and CPUUtilization metrics are spiking when monthly reports run.

What is the MOST cost-effective solution?

Options:

Migrate the monthly reporting to Amazon Redshift.

Migrate the monthly reporting to an Aurora Replica

Migrate the Aurora database to a larger instance class

Increase the Provisioned IOPS on the Aurora instance

Questions # 234:

A solutions architect is optimizing a website for an upcoming musical event. Videos of the performances will be streamed in real time and then will be available on demand. The event is expected to attract a global online audience.

Which service will improve the performance of both the real-lime and on-demand streaming?

Options:

Amazon CloudFront

AWS Global Accelerator

Amazon Route 53

Amazon S3 Transfer Acceleration

Questions # 235:

A company runs a global web application on Amazon EC2 instances behind an Application Load Balancer The application stores data in Amazon Aurora. The company needs to create a disaster recovery solution and can tolerate up to 30 minutes of downtime and potential data loss. The solution does not need to handle the load when the primary infrastructure is healthy

What should a solutions architect do to meet these requirements?

Options:

Deploy the application with the required infrastructure elements in place Use Amazon Route 53 to configure active-passive failover Create an Aurora Replica in a second AWS Region

Host a scaled-down deployment of the application in a second AWS Region Use Amazon Route 53 to configure active-active failover Create an Aurora Replica in the second Region

Replicate the primary infrastructure in a second AWS Region Use Amazon Route 53 to configure active-active failover Create an Aurora database that is restored from the latest snapshot

Back up data with AWS Backup Use the backup to create the required infrastructure in a second AWS Region Use Amazon Route 53 to configure active-passive failover Create an Aurora second primary instance in the second Region

Questions # 236:

A company has a highly dynamic batch processing job that uses many Amazon EC2 instances to complete it. The job is stateless in nature, can be started and stopped at any given time with no negative impact, and typically takes upwards of 60 minutes total to complete. The company has asked a solutions architect to design a scalable and cost-effective solution that meets the requirements of the job.

What should the solutions architect recommend?

Options:

Implement EC2 Spot Instances

Purchase EC2 Reserved Instances

Implement EC2 On-Demand Instances

Implement the processing on AWS Lambda

Questions # 237:

A company is planning to build a high performance computing (HPC) workload as a service solution that Is hosted on AWS A group of 16 AmazonEC2Ltnux Instances requires the lowest possible latency for node-to-node communication. The instances also need a shared block device volume for high-performing storage.

Which solution will meet these requirements?

Options:

Use a duster placement group. Attach a single Provisioned IOPS SSD Amazon Elastic Block Store (Amazon E BS) volume to all the instances by using Amazon EBS Multi-Attach

Use a cluster placement group. Create shared 'lie systems across the instances by using Amazon Elastic File System (Amazon EFS)

Use a partition placement group. Create shared tile systems across the instances by using Amazon Elastic File System (Amazon EFS).

Use a spread placement group. Attach a single Provisioned IOPS SSD Amazon Elastic Block Store (Amazon EBS) volume to all the instances by using Amazon EBS Multi-Attach

Questions # 238:

A solutions architect needs to securely store a database user name and password that an application uses to access an Amazon RDS DB instance. The application that accesses the database runs on an Amazon EC2 instance. The solutions architect wants to create a secure parameter in AWS Systems Manager Parameter Store.

What should the solutions architect do to meet this requirement?

Options:

Create an IAM role that has read access to the Parameter Store parameter. Allow Decrypt access to an AWS Key Management Service (AWS KMS) key that is used to encrypt the parameter. Assign this IAM role to the EC2 instance.

Create an IAM policy that allows read access to the Parameter Store parameter. Allow Decrypt access to an AWS Key Management Service (AWS KMS) key that is used to encrypt the parameter. Assign this IAM policy to the EC2 instance.

Create an IAM trust relationship between the Parameter Store parameter and the EC2 instance. Specify Amazon RDS as a principal in the trust policy.

Create an IAM trust relationship between the DB instance and the EC2 instance. Specify Systems Manager as a principal in the trust policy.

Questions # 239:

A company has a mobile app for customers The app's data is sensitive and must be encrypted at rest The company uses AWS Key Management Service (AWS KMS)

The company needs a solution that prevents the accidental deletion of KMS keys The solution must use Amazon Simple Notification Service (Amazon SNS) to send an email notification to administrators when a user attempts to delete a KMS key

Which solution will meet these requirements with the LEAST operational overhead''

Options:

Create an Amazon EventBndge rule that reacts when a user tries to delete a KMS key Configure an AWS Config rule that cancels any deletion of a KMS key Add the AWS Config rule as a target of the EventBridge rule Create an SNS topic that notifies the administrators

Create an AWS Lambda function that has custom logic to prevent KMS key deletion Create an Amazon CloudWatch alarm that is activated when a user tries to delete a KMS key Create an Amazon EventBridge rule that invokes the Lambda function when the DeleteKey operation is performed Create an SNS topic Configure the EventBndge rule to publish an SNS message that notifies the administrators

Create an Amazon EventBndge rule that reacts when the KMS DeleteKey operation is performed Configure the rule to initiate an AWS Systems Manager Automationrunbook Configure the runbook to cancel the deletion of the KMS key Create an SNS topic Configure the EventBndge rule to publish an SNS message that notifies the administrators.

Create an AWS CloudTrail trail Configure the trail to delrver logs to a new Amazon CloudWatch log group Create a CloudWatch alarm based on the metric filter for the CloudWatch log group Configure the alarm to use Amazon SNS to notify the administrators when the KMS DeleteKey operation is performed

Questions # 240:

A company has an application that customers use to upload images to an Amazon S3 bucket Each night, the company launches an Amazon EC2 Spot Fleet that processes all the images that the company received that day. The processing for each image takes 2 minutes and requires 512 MB of memory.

A solutions architect needs to change the application to process the images when the images are uploaded

Which change will meet these requirements MOST cost-effectively?

Options:

Use S3 Event Notifications to write a message with image details to an Amazon Simple Queue Service (Amazon SQS) queue. Configure an AWS Lambda function to read the messages from the queue and to process the images

Use S3 Event Notifications to write a message with image details to an Amazon Simple Queue Service (Amazon SQS) queue Configure an EC2 Reserved Instance to read the messages from the queue and to process the images.

Use S3 Event Notifications to publish a message with image details to an Amazon Simple Notification Service (Amazon SNS) topic. Configure a container instance in Amazon Elastic Container Service (Amazon ECS) to subscribe to the topic and to process the images.

Use S3 Event Notifications to publish a message with image details to an Amazon Simple Notification Service (Amazon SNS) topic. to subscribe to the topic and to process the images.