Full Access Amazon Web Services SAP-C02 Tutorials

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Question 60

A company has a solution that analyzes weather data from thousands of weather stations. The weather stations send the data over an Amazon API Gateway REST API that has an AWS Lambda function integration. The Lambda function calls a third-party service for data pre-processing. The third-party service gets overloaded and fails the pre-processing, causing a loss of data.

A solutions architect must improve the resiliency of the solution. The solutions architect must ensure that no data is lost and that data can be processed later if failures occur.

What should the solutions architect do to meet these requirements?

Options:

Create an Amazon Simple Queue Service (Amazon SQS) queue. Configure the queue as the dead-letter queue for the API.

Create two Amazon Simple Queue Service (Amazon SQS) queues: a primary queue and a secondary queue. Configure the secondary queue as the dead-letter queue for the primary queue. Update the API to use a new integration to the primary queue. Configure the Lambda function as the invocation target for the primary queue.

Create two Amazon EventBridge event buses: a primary event bus and a secondary event bus. Update the API to use a new integration to the primary event bus. Configure an EventBridge rule to react to all events on the primary event bus. Specify the Lambda function as the target of the rule. Configure the secondary event bus as the failure destination for the Lambda function.

Create a custom Amazon EventBridge event bus. Configure the event bus as the failure destination for the Lambda function.

Question 61

A company has more than 10.000 sensors that send data to an on-premises Apache Kafka server by using the Message Queuing Telemetry Transport (MQTT) protocol. The on-premises Kafka server transforms the data and then stores the results as objects in an Amazon S3 bucket.

Recently, the Kafka server crashed. The company lost sensor data while the server was being restored. A solutions architect must create a new design on AWS that is highly available and scalable to prevent a similar occurrence.

Which solution will meet these requirements?

Options:

Launch two Amazon EC2 instances to host the Kafka server in an active/standby configuration across two Availability Zones. Create a domain name in Amazon Route 53. Create a Route 53 failover policy. Route the sensors to send the data to the domain name.

Migrate the on-premises Kafka server to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Create a Network Load Balancer (NLB) that points to the Amazon MSK broker Enable NL8 health checks. Route the sensors to send the data to the NLB.

Deploy AWS loT Core, and connect it to an Amazon Kinesis Data Firehose delivery stream. Use an AWS Lambda function to handle data transformation. Route the sensors to send the data to AWS loT Core.

Deploy AWS loT Core, and launch an Amazon EC2 instance to host the Kafka server. Configure AWS loT Core to send the data to the EC2 instance. Route the sensors to send the data to AWS loT Core.

Question 62

A company hosts an application on AWS. The application reads and writes objects that are stored in a single Amazon S3 bucket. The company must modify the application to deploy the application in two AWS Regions.

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

Options:

Set up an Amazon CloudFront distribution with the S3 bucket as an origin. Deploy the application to a second Region Modify the application to use the CloudFront distribution. Use AWS Global Accelerator to access the data in the S3 bucket.

Create a new S3 bucket in a second Region. Set up bidirectional S3 Cross-Region Replication (CRR) between the original S3 bucket and the new S3 bucket. Configure an S3 Multi-Region Access Point that uses both S3 buckets. Deploy a modified application to both Regions.

Create a new S3 bucket in a second Region Deploy the application in the second Region. Configure the application to use the new S3 bucket. Set up S3 Cross-Region Replication (CRR) from the original S3 bucket to the new S3 bucket.

Set up an S3 gateway endpoint with the S3 bucket as an origin. Deploy the application to a second Region. Modify the application to use the new S3 gateway endpoint. Use S3 Intelligent-Tiering on the S3 bucket.

Question 63

A company needs to modernize a legacy .NET Framework application. The application uses an application server and a Microsoft SQL Server database.

The company also needs to perform the following tasks:

■ Containerize the application into microservices.

• Keep control of the operating system patches and storage for the application layer.

• Add load balancing for the web servers.

• Make the application highly available.

Which solution will meet these requirements?

Options:

Convert the application into a containerized application by using AWS App2Container. Deploy the containerized application on Amazon Elastic Container Service (Amazon ECS). Run the ECS cluster on Amazon EC2 instances in an Auto Scaling group. Place an Application Load Balancer in front of the Auto Scaling group. Use Amazon RDS for SOL Server with a Multi-AZ deployment to host the database.

Convert the application into a containerized application by using AWS App2Container. Deploy the containerized application on Amazon Elastic Container Service (Amazon ECS). Run the ECS cluster on EC2 instances in an Auto Scaling group. Place a Network Load Balancer in front of the Auto Scaling group. Use Amazon Aurora MySQL with a Multi-AZ deployment to host the database.

Convert the application into a containerized application by using the Porting Assistant for .NET tool. Deploy the containerized application on Amazon Elastic Kubernetes Service (Amazon EKS). Run the EKS cluster by using AWS Fargate. Place a Network Load Balancer in front of the Auto Scaling group. Host the database on Amazon Aurora MySQL. Configure cross-Region read replicas for the database.

Convert the application into a containerized application by using the Porting Assistant for .NET tool. Deploy the containerized application on Amazon Elastic Kubernetes Service (Amazon EKS). Run the EKS cluster by using AWS Fargate. Place an Application Load Balancer in front of the Auto Scaling group. Use Amazon RDS for SQL Server with a Multi-AZ deployment to host the database.

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