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A company is using microservices to build an ecommerce application on AWS. The company wants to preserve customer transaction information after customers submit orders. The company wants to store transaction data in an Amazon Aurora database. The company expects sales volumes to vary throughout each year.

A.

Use an Amazon API Gateway REST API to invoke an AWS Lambda function to send transaction data to the Aurora database. Send transaction data to an Amazon Simple Queue Service (Amazon SQS) queue that has a dead-letter queue. Use a second Lambda function to read from the SQS queue and to update the Aurora database.

B.

Use an Amazon API Gateway HTTP API to send transaction data to an Application Load Balancer (ALB). Use the ALB to send the transaction data to Amazon Elastic Container Service (Amazon ECS) on Amazon EC2. Use ECS tasks to store the data in Aurora database.

C.

Use an Application Load Balancer (ALB) to route transaction data to Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon EKS to send the data to the Aurora database.

D.

Use Amazon Data Firehose to send transaction data to Amazon S3. Use AWS Database Migration Service (AWS DMS) to migrate the data from Amazon S3 to the Aurora database.

A company wants to enhance its ecommerce order-processing application that is deployed on AWS. The application must process each order exactly once without affecting the customer experience during unpredictable traffic surges.

Which solution will meet these requirements?

A.

Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Put all the orders in the SQS queue. Configure an AWS Lambda function as the target to process the orders.

B.

Create an Amazon Simple Notification Service (Amazon SNS) standard topic. Publish all the orders to the SNS standard topic. Configure the application as a notification target.

C.

Create a flow by using Amazon AppFlow. Send the orders to the flow. Configure an AWS Lambda function as the target to process the orders.

D.

Configure AWS X-Ray in the application to track the order requests. Configure the application to process the orders by pulling the orders from Amazon CloudWatch.

A company's reporting system delivers hundreds of .csv files to an Amazon S3 bucket each day. The company must convert these files to Apache Parquet format and must store the files in a transformed data bucket.

Which solution will meet these requirements with the LEAST development effort?

A.

Create an Amazon EMR cluster with Apache Spark installed. Write a Spark application to transform the data. Use EMR File System (EMRFS) to write files to the transformed data bucket.

B.

Create an AWS Glue crawler to discover the data. Create an AWS Glue extract, transform, and load (ETL) job to transform the data. Specify the transformed data bucket in the output step.

C.

Use AWS Batch to create a job definition with Bash syntax to transform the data and output the data to the transformed data bucket. Use the job definition to submit a job. Specify an array job as the job type.

D.

Create an AWS Lambda function to transform the data and output the data to the transformed data bucket. Configure an event notification for the S3 bucket. Specify the Lambda function as the destination for the event notification.

An adventure company has launched a new feature on its mobile app. Users can use the feature to upload their hiking and rafting photos and videos anytime. The photos and videos are stored in Amazon S3 Standard storage in an S3 bucket and are served through Amazon CloudFront.

The company needs to optimize the cost of the storage. A solutions architect discovers that most of the uploaded photos and videos are accessed infrequently after 30 days. However, some of the uploaded photos and videos are accessed frequently after 30 days. The solutions architect needs to implement a solution that maintains millisecond retrieval availability of the photos and videos at the lowest possible cost.

Which solution will meet these requirements?

A.

Configure S3 Intelligent-Tiering on the S3 bucket.

B.

Configure an S3 Lifecycle policy to transition image objects and video objects from S3 Standard to S3 Glacier Deep Archive after 30 days.

C.

Replace Amazon S3 with an Amazon Elastic File System (Amazon EFS) file system that is mounted on Amazon EC2 instances.

D.

Add a Cache-Control: max-age header to the S3 image objects and S3 video objects. Set the header to 30 days.

A company is designing a web application with an internet-facing Application Load Balancer (ALB).

The company needs the ALB to receive HTTPS web traffic from the public internet. The ALB must send only HTTPS traffic to the web application servers hosted on the Amazon EC2 instances on port 443. The ALB must perform a health check of the web application servers over HTTPS on port 8443.

Which combination of configurations of the security group that is associated with the ALB will meet these requirements? (Select THREE.)

A.

Allow HTTPS inbound traffic from 0.0.0.0/0 for port 443.

B.

Allow all outbound traffic to 0.0.0.0/0 for port 443.

C.

Allow HTTPS outbound traffic to the web application instances for port 443.

D.

Allow HTTPS inbound traffic from the web application instances for port 443.

E.

Allow HTTPS outbound traffic to the web application instances for the health check on port 8443.

F.

Allow HTTPS inbound traffic from the web application instances for the health check on port 8443.

A company wants to create an API to authorize users by using JSON Web Tokens (JWTs). The company needs to support dynamic access to multiple AWS services by using path-based routing.

Which solution will meet these requirements?

A.

Deploy an Application Load Balancer behind an Amazon API Gateway REST API. Configure IAM authorization.

B.

Deploy an Application Load Balancer behind an Amazon API Gateway HTTP API. Use Amazon Cognito for authorization.

C.

Deploy a Network Load Balancer behind an Amazon API Gateway REST API. Use an AWS Lambda function as a custom authorizer.

D.

Deploy a Network Load Balancer behind an Amazon API Gateway HTTP API. Use Amazon Cognito for authorization.

An ecommerce company has an application that collects order-related information from customers. The company uses one Amazon DynamoDB table to store customer home addresses, phone numbers, and email addresses. Customers can check out without creating an account. The application copies the customer information to a second DynamoDB table if a customer does create an account.

The company requires a solution to delete personally identifiable information (PII) for customers who did not create an account within 28 days.

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

A.

Create an AWS Lambda function to delete items from the first DynamoDB table that have a delivery date more than 28 days in the past. Use a scheduled Amazon EventBridge rule to run the Lambda function every day.

B.

Update the application to store PII in an Amazon S3 bucket. Create an S3 Lifecycle rule to expire the objects after 28 days. Move the data to DynamoDB when a user creates an account.

C.

Launch an Amazon EC2 instance. Configure a daily cron job to run on the instance. Configure the cron job to use AWS CLI commands to delete items from DynamoDB.

D.

Use a createdAt timestamp to set TTL for data in the first DynamoDB table to 28 days.

A company has multiple Amazon RDS DB instances that run in a development AWS account. All the instances have tags to identify them as development resources. The company needs the development DB instances to run on a schedule only during business hours.

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

A.

Create an Amazon CloudWatch alarm to identify RDS instances that need to be stopped Create an AWS Lambda function to start and stop the RDS instances.

B.

Create an AWS Trusted Advisor report to identify RDS instances to be started and stopped. Create an AWS Lambda function to start and stop the RDS instances.

C.

Create AWS Systems Manager State Manager associations to start and stop the RDS instances.

D.

Create an Amazon EventBridge rule that invokes AWS Lambda functions to start and stop the RDS instances.

A solutions architect is investigating compute options for a critical analytics application. The application uses long-running processes to prepare and aggregate data. The processes cannot be interrupted. The application has a known baseline load. The application needs to handle occasional usage surges.

Which solution will meet these requirements MOST cost-effectively?

A.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity and Desired capacity parameters to the number of instances required to handle the baseline load. Purchase Reserved Instances for the Auto Scaling group.

B.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity, Max capacity, and Desired capacity parameters to the number of instances required to handle the baseline load. Use On-Demand Instances to address occasional usage surges.

C.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity and Desired capacity parameters to the number of instances required to handle the baseline load. Purchase Reserved Instances for the Auto Scaling group. Use the OnDemandPercentageAboveBaseCapacity parameter to configure the launch template to launch Spot Instances.

D.

Re-architect the application to use AWS Lambda functions instead of Amazon EC2 instances. Purchase a one-year Compute Savings Plan to reduce the cost of Lambda usage.

A financial service company has a two-tier consumer banking application. The frontend serves static web content. The backend consists of APIs. The company needs to migrate the frontendcomponent to AWS. The backend of the application will remain on premises. The company must protect the application from common web vulnerabilities and attacks.

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

A.

Migrate the frontend to Amazon EC2 instances. Deploy an Application Load Balancer (ALB) in front of the instances. Use the instances to invoke the on-premises APIs. Associate AWS WAF rules with the instances.

B.

Deploy the frontend as an Amazon CloudFront distribution that has multiple origins. Configure one origin to be an Amazon S3 bucket that serves the static web content. Configure a second origin to route traffic to the on-premises APIs based on the URL pattern. Associate AWS WAF rules with the distribution.

C.

Migrate the frontend to Amazon EC2 instances. Deploy a Network Load Balancer (NLB) in front of the instances. Use the instances to invoke the on-premises APIs. Create an AWS Network Firewall instance. Route all traffic through the Network Firewall instance.

D.

Deploy the frontend as a static website based on an Amazon S3 bucket. Use an Amazon API Gateway REST API and a set of Amazon EC2 instances to invoke the on-premises APIs. Associate AWS WAF rules with the REST API and the S3 bucket.

A company runs its databases on Amazon RDS for PostgreSQL. The company wants a secure solution to manage the master user password by rotating the password every 30 days. Which solution will meet these requirements with the LEAST operational overhead?

A.

Use Amazon EventBridge to schedule a custom AWS Lambda function to rotate the password every 30 days.

B.

Use the modlfy-db-instance command in the AWS CLI to change the password.

C.

Integrate AWS Secrets Manager with Amazon RDS for PostgreSQL to automate password rotation.

D.

Integrate AWS Systems Manager Parameter Store with Amazon RDS for PostgreSQL to automate password rotation.

A company is using an Amazon Redshift cluster to run analytics queries for multiple sales teams. In addition to the typical workload, on the last Monday morning of each month, thousands of users run reports. Users have reported slow response times during the monthly surge.

The company must improve query performance without impacting the availability of the Redshift cluster.

Which solution will meet these requirements?

A.

Resize the Redshift cluster by using the classic resize capability of Amazon Redshift before every monthly surge. Reduce the cluster to its original size after each surge.

B.

Resize the Redshift cluster by using the elastic resize capability of Amazon Redshift before every monthly surge. Reduce the cluster to its original size after each surge.

C.

Enable the concurrency scaling feature for the Redshift cluster for specific workload management (WLM) queues.

D.

Enable Amazon Redshift Spectrum for the Redshift cluster before every monthly surge.

A company deploys an application on Amazon EC2 Spot Instances. The company observes frequent unavailability issues that affect the application's output. The application instances all use the same instance type in a single Availability Zone. The application architecture does not require the use of any specific instance family.

The company needs a solution to improve the availability of the application.

Which combination of steps will meet this requirement MOST cost-effectively? (Select THREE.)

A.

Create an EC2 Auto Scaling group that includes a mix of Spot Instances and a base number of On-Demand Instances.

B.

Create EC2 Capacity Reservations.

C.

Use the lowest price allocation strategy for Spot Instances.

D.

Specify similarly sized instance types and Availability Zones for the Spot Instances.

E.

Use a different instance type for the web application.

F.

Use the price capacity optimized strategy for Spot Instances.

A company needs to migrate its customer transactions database from on-premises to AWS. The database resides on an Oracle DB instance that runs on a Linux server. According to a new security requirement, the company must rotate the database password each year.

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

A.

Convert the database to Amazon DynamoDB by using AWS Schema Conversion Tool (AWS SCT). Store the password in AWS Systems Manager Parameter Store. Create an Amazon CloudWatch alarm to invoke an AWS Lambda function for yearly password rotation.

B.

Migrate the database to Amazon RDS for Oracle. Store the password in AWS Secrets Manager. Turn on automatic rotation. Configure a yearly rotation schedule.

C.

Migrate the database to an Amazon EC2 instance. Use AWS Systems Manager Parameter Store to keep and rotate the connection string by using an AWS Lambda function on a yearly schedule.

D.

Migrate the database to Amazon Neptune by using AWS Schema Conversion Tool (AWS SCT). Create an Amazon CloudWatch alarm to invoke an AWS Lambda function for yearly password rotation.

A company needs to create an AWS Lambda function that will run in a VPC in the company's primary AWS account. The Lambda function needs to access files that the company stores in an Amazon Elastic File System (Amazon EFS) file system. The EFS file system is located in a secondary AWS account. As the company adds files to the file system, the solution must scale to meet the demand.

Which solution will meet these requirements MOST cost-effectively?

A.

Create a new EFS file system in the primary account. Use AWS DataSync to copy the contents of the original EFS file system to the new EFS file system.

B.

Create a VPC peering connection between the VPCs that are in the primary account and the secondary account.

C.

Create a second Lambda function in the secondary account that has a mount that is configured for the file system. Use the primary account's Lambda function to invoke the secondary account's Lambda function.

D.

Move the contents of the file system to a Lambda layer. Configure the Lambda layer's permissions to allow the company's secondary account to use the Lambda layer.