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A company needs to design a resilient web application to process customer orders. The web application must automatically handle increases in web traffic and application usage without affecting the customer experience or losing customer orders.

Which solution will meet these requirements?

A.

Use a NAT gateway to manage web traffic. Use Amazon EC2 Auto Scaling groups to receive, process, and store processed customer orders. Use an AWS Lambda function to capture and store unprocessed orders.

B.

Use a Network Load Balancer (NLB) to manage web traffic. Use an Application Load Balancer to receive customer orders from the NLB. Use Amazon Redshift with a Multi-AZ deployment to store unprocessed and processed customer orders.

C.

Use a Gateway Load Balancer (GWLB) to manage web traffic. Use Amazon Elastic Container Service (Amazon ECS) to receive and process customer orders. Use the GWLB to capture and store unprocessed orders. Use Amazon DynamoDB to store processed customer orders.

D.

Use an Application Load Balancer to manage web traffic. Use Amazon EC2 Auto Scaling groups to receive and process customer orders. Use Amazon Simple Queue Service (Amazon SQS) to store unprocessed orders. Use Amazon RDS with a Multi-AZ deployment to store processed customer orders.

A company is designing an application to maintain a record of customer orders. The application will generate events. The company wants to use an Amazon EventBridge event bus to send the application's events to an Amazon DynamoDB table. Which solution will meet these requirements?

A.

Use the EventBridge default event bus. Configure DynamoDB Streams for the DynamoDB table that hosts the customer order data.

B.

Create an EventBridge custom event bus. Create an AWS Lambda function as a target. Configure the Lambda function to forward the customer order data to the DynamoDB table.

C.

Create an EventBridge partner event bus. Create an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe an AWS Lambda function to the SNS topic. Configure the Lambda function to read the customer order data and to forward the data to the DynamoDB table.

D.

Create an EventBridge partner event bus. Create an AWS Lambda function as a target. Configure the Lambda function to forward the customer order data to the DynamoDB table.

An ecommerce company hosts a three-tier web application in a VPC. The web tier runs on Amazon EC2 instances in two Availability Zones. The company stores a product catalog and customer sales information in Amazon DynamoDB.

The company's finance team uses a reporting application to generate reports of daily product sales. When the finance team runs the daily reports, a sudden performance decrease affects website customers.

The company wants to improve the performance of the system.

Which solution will meet these requirements with MINIMAL changes to the current architecture?

A.

Migrate the application to larger EC2 instances. Migrate the database to Amazon RDS for MySQL. Configure a read replica of the database in a second Availability Zone.

B.

Increase the compute capacity of the EC2 instances. Migrate the database to Amazon ElastiCache (Memcached).

C.

Implement DynamoDB Accelerator (DAX).

D.

Configure DynamoDB streams.

A company uses a set of Amazon EC2 instances to host a website. The website uses an Amazon S3 bucket to store images and media files.

The company wants to automate website infrastructure creation to deploy the website to multiple AWS Regions. The company also wants to provide the EC2 instances access to the S3 bucket so the instances can store and access data by using AWS Identity and Access Management (IAM).

Which solution will meet these requirements MOST securely?

A.

Create an AWS Cloud Format ion template for the web server EC2 instances. Save an IAM access key in the UserData section of the AWS;:EC2::lnstance entity in the CloudFormation template.

B.

Create a file that contains an IAM secret access key and access key ID. Store the file in a new S3 bucket. Create an AWS CloudFormation template. In the template, create a parameter to specify the location of the S3 object that contains the access key and access key ID.

C.

Create an IAM role and an IAM access policy that allows the web server EC2 instances to access the S3 bucket. Create an AWS CloudFormation template for the web server EC2 instances that contains an IAM instance profile entity that references the IAM role and the IAM access policy.

D.

Create a script that retrieves an IAM secret access key and access key ID from IAM and stores them on the web server EC2 instances. Include the script in the UserData section of the AWS::EC2::lnstance entity in an AWS CloudFormation template.

A solutions architect is designing a multi-Region disaster recovery (DR) strategy for a company. The company runs an application on Amazon EC2 instances in Auto Scaling groups that are behind an Application Load Balancer (ALB). The company hosts the application in the company's primary and secondary AWS Regions.

The application must respond to DNS queries from the secondary Region if the primary Region fails. Only one Region must serve traffic at a time.

Which solution will meet these requirements?

A.

Create an outbound endpoint in Amazon Route 53 Resolver. Create forwarding rules that determine how queries will be forwarded to DNS resolvers on the network. Associate the rules with VPCs in each Region.

B.

Create primary and secondary DNS records in Amazon Route 53. Configure health checks and a failover routing policy.

C.

Create a traffic policy in Amazon Route 53. Use a geolocation routing policy and a value type of ELB Application Load Balancer.

D.

Create an Amazon Route 53 profile. Associate DNS resources to the profile. Associate the profile with VPCs in each Region.

A company wants to use a data lake that is hosted on Amazon S3 to provide analytics services for historical data. The data lake consists of 800 tables but is expected to grow to thousands of tables. More than 50 departments use the tables, and each department has hundreds of users. Different departments need access to specific tables and columns.

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

A.

Create an IAM role for each department. Use AWS Lake Formation based access control to grant each IAM role access to specific tables and columns. Use Amazon Athena to analyze the data.

B.

Create an Amazon Redshift cluster for each department. Use AWS Glue to ingest into the Redshift cluster only the tables and columns that are relevant to that department. Create Redshift database users. Grant the users access to the relevant department's Redshift cluster. Use Amazon Redshift to analyze the data.

C.

Create an IAM role for each department. Use AWS Lake Formation tag-based access control to grant each IAM role access to only the relevant resources. Create LF-tags that are attached to tables and columns. Use Amazon Athena to analyze the data.

D.

Create an Amazon EMR cluster for each department. Configure an IAM service role for each EMR cluster to access relevant S3 files. For each department's users, create an IAM role that provides access to the relevant EMR cluster. Use Amazon EMR to analyze the data.

A company uses Amazon RDS for PostgreSQL databases for its data tier. The company must implement password rotation for the databases.

Which solution meets this requirement with the LEAST operational overhead?

A.

Store the password in AWS Secrets Manager. Enable automatic rotation on the secret.

B.

Store the password in AWS Systems Manager Parameter Store. Enable automatic rotation on the parameter.

C.

Store the password in AWS Systems Manager Parameter Store. Write an AWS Lambda function that rotates the password.

D.

Store the password in AWS Key Management Service (AWS KMS). Enable automatic rotation on the AWS KMS key.

A global ecommerce company is planning to enhance its AWS data storage architecture to improve system availability and resilience.

The company handles millions of daily transactions in relational form. It stores unstructured data in the form of images over 4 MB in size.

The solution must provide continuous operation in multiple geographic locations, minimize downtime/data loss, and support both transactional and unstructured data.

Which solution will meet these requirements?

A.

Use Amazon RDS Multi-AZ deployments for transaction data. Use Amazon DynamoDB global tables for unstructured data.

B.

Use an Amazon Aurora global database for transaction data. Use Amazon S3 with Cross-Region Replication for unstructured data.

C.

Use Amazon DynamoDB global tables for both transaction data and unstructured data.

D.

Use an Amazon Aurora global database for transaction data. Use Amazon Elastic File System (Amazon EFS) with Cross-Region Replication for unstructured data.

A company has primary and secondary data centers that are 500 miles (804.7 km) apart and interconnected with high-speed fiber-optic cable. The company needs a highly available and secure network connection between its data centers and a VPC on AWS for a mission-critical workload.

A solutions architect must choose a connection solution that provides maximum resiliency.

Which solution meets these requirements?

A.

Two AWS Direct Connect connections from the primary data center terminating at two Direct Connect locations on two separate devices

B.

A single AWS Direct Connect connection from each of the primary and secondary data centers terminating at one Direct Connect location on the same device

C.

Two AWS Direct Connect connections from each of the primary and secondary data centers terminating at two Direct Connect locations on two separate devices

D.

A single AWS Direct Connect connection from each of the primary and secondary data centers terminating at one Direct Connect location on two separate devices

A company uses an Amazon EC2 Auto Scaling group to host an API. The EC2 instances are in a target group that is associated with an Application Load Balancer (ALB). The company stores data in an Amazon Aurora PostgreSQL database.

The API has a weekly maintenance window. The company must ensure that the API returns a static maintenance response during the weekly maintenance window.

Which solution will meet this requirement with the LEAST operational overhead?

A.

Create a table in Aurora PostgreSQL that has fields to contain keys and values. Create a key for a maintenance flag. Set the flag when the maintenance window starts. Configure the API to query the table for the maintenance flag and to return a maintenance response if the flag is set. Reset the flag when the maintenance window is finished.

B.

Create an Amazon Simple Queue Service (Amazon SQS) queue. Subscribe the EC2 instances to the queue. Publish a message to the queue when the maintenance window starts. Configure the API to return a maintenance message if the instances receive a maintenance start message from the queue. Publish another message to the queue when the maintenance window is finished to restore normal operation.

C.

Create a listener rule on the ALB to return a maintenance response when the path on a request matches a wildcard. Set the rule priority to one. Perform the maintenance. When the maintenance window is finished, delete the listener rule.

D.

Create an Amazon Simple Notification Service (Amazon SNS) topic Subscribe the EC2 instances to the topic Publish a message to the topic when the maintenance window starts. Configure the API to return a maintenance response if the instances receive the maintenance start message from the topic. Publish another message to the topic when the maintenance window finshes to restore normal operation.

A company wants to provide users with access to AWS resources. The company has 1,500 users and manages their access to on-premises resources through Active Directory user groups on the corporate network. However, the company does not want users to have to maintain another identity to access the resources. A solutions architect must manage user access to the AWS resources while preserving access to the on-premises resources.

What should the solutions architect do to meet these requirements?

A.

Create an IAM user for each user in the company. Attach the appropriate policies to each user.

B.

Use Amazon Cognito with an Active Directory user pool. Create roles with the appropriate policies attached.

C.

Define cross-account roles with the appropriate policies attached. Map the roles to the Active Directory groups.

D.

Configure Security Assertion Markup Language (SAML) 2.0-based federation. Create roles with the appropriate policies attached. Map the roles to the Active Directory groups.

A company has Amazon EC2 instances in multiple AWS Regions. The instances all store and retrieve confidential data from the same Amazon S3 bucket. The company wants to improve the security of its current architecture.

The company wants to ensure that only the Amazon EC2 instances within its VPC can access the S3 bucket. The company must block all other access to the bucket.

Which solution will meet this requirement?

A.

Use IAM policies to restrict access to the S3 bucket.

B.

Use server-side encryption (SSE) to encrypt data in the S3 bucket at rest. Store the encryption key on the EC2 instances.

C.

Create a VPC endpoint for Amazon S3. Configure an S3 bucket policy to allow connections only from the endpoint.

D.

Use AWS Key Management Service (AWS KMS) with customer-managed keys to encrypt the data before sending the data to the S3 bucket.

A company runs an application on EC2 instances that need access to RDS credentials stored in AWS Secrets Manager.

Which solution meets this requirement?

A.

Create an IAM role, and attach the role to each EC2 instance profile. Use an identity-based policy to grant the role access to the secret.

B.

Create an IAM user, and attach the user to each EC2 instance profile. Use a resource-based policy to grant the user access to the secret.

C.

Create a resource-based policy for the secret. Use EC2 Instance Connect to access the secret.

D.

Create an identity-based policy for the secret. Grant direct access to the EC2 instances.

A company wants to use automatic machine learning (ML) to create and visualize forecasts of complex scenarios and trends.

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

A.

Use an AWS Glue ML job to transform the data and create forecasts. Use Amazon QuickSight to visualize the data.

B.

Use Amazon QuickSight to visualize the data. Use ML-powered forecasting in QuickSight to create forecasts.

C.

Use a prebuilt ML AMI from the AWS Marketplace to create forecasts. Use Amazon QuickSight to visualize the data.

D.

Use Amazon SageMaker AI inference pipelines to create and update forecasts. Use Amazon QuickSight to visualize the combined data.

A company is developing a serverless, bidirectional chat application that can broadcast messages to connected clients. The application is based on AWS Lambda functions. The Lambda functions receive incoming messages in JSON format.

The company needs to provide a frontend component for the application.

Which solution will meet this requirement?

A.

Use an Amazon API Gateway HTTP API to direct incoming JSON messages to backend destinations.

B.

Use an Amazon API Gateway REST API that is configured with a Lambda proxy integration.

C.

Use an Amazon API Gateway WebSocket API to direct incoming JSON messages to backend destinations.

D.

Use an Amazon CloudFront distribution that is configured with a Lambda function URL as a custom origin.