Amazon AWS-Solutions-Architect-Professional : AWS Certified Solutions Architect - Professional

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Amazon AWS Certified Solutions Architect - Professional AWS-Solutions-Architect-Professional Prüfungsfragen mit Lösungen:

1. A software company needs to create short-lived test environments to test pull requests as part of its development process. Each test environment consists of a single Amazon EC2 instance that is in an Auto Scaling group.
The test environments must be able to communicate with a central server to report test results. The central server is located in an on-premises data center. A solutions architect must implement a solution so that the company can create and delete test environments without any manual intervention. The company has created a transit gateway with a VPN attachment to the on-premises network.
Which solution will meet these requirements with the LEAST operational overhead?

A) Create a single VPC for the test environments. Include a transit gateway attachment and related routing configurations. Use AWS CloudFormation to deploy all test environments into the VPC.
B) Create an AWS CloudFormation template that contains a transit gateway attachment and related routing configurations. Create a CloudFormation stack set that includes this template. Use CloudFormation StackSets to deploy a new stack for each VPC in the account. Deploy a new VPC for each test environment.
C) Create a new OU in AWS Organizations for testing. Create an AWS CloudFormation template that contains a VPC, necessary networking resources, a transit gateway attachment, and related routing configurations. Create a CloudFormation stack set that includes this template. Use CloudFormation StackSets for deployments into each account under the testing 01.1. Create a new account for each test environment.
D) Convert the test environment EC2 instances into Docker images. Use AWS CloudFormation to configure an Amazon Elastic Kubernetes Service (Amazon EKS) cluster in a new VPC, create a transit gateway attachment, and create related routing configurations. Use Kubernetes to manage the deployment and lifecycle of the test environments.

2. A company is migrating an on-premises application and a MySQL database to AWS. The application processes highly sensitive data, and new data is constantly updated in the database. The data must not be transferred over the internet. The company also must encrypt the data in transit and at rest.
The database is 5 TB in size. The company already has created the database schema in an Amazon RDS for MySQL DB instance. The company has set up a 1 Gbps AWS Direct Connect connection to AWS. The company also has set up a public VIF and a private VIF. A solutions architect needs to design a solution that will migrate the data to AWS with the least possible downtime.
Which solution will meet these requirements?

A) Perform a database backup. Copy the backup files to an AWS Snowball Edge Storage Optimized device.
Import the backup to Amazon S3. Use server-side encryption with Amazon S3 managed encryption keys (SSE-S3) for encryption at rest. Use TLS for encryption in transit. Import the data from Amazon S3 to the DB instance.
B) Perform a database backup. Use AWS DataSync to transfer the backup files to Amazon S3. Use server-side encryption with Amazon S3 managed encryption keys (SSE-S3) for encryption at rest. Use TLS for encryption in transit. Import the data from Amazon S3 to the DB instance.
C) Use AWS Database Migration Service (AWS DMS) to migrate the data to AWS. Create a DMS replication instance in a private subnet. Create VPC endpoints for AWS DMS. Configure a DMS task to copy data from the on-premises database to the DB instance by using full load plus change data capture (CDC). Use the AWS Key Management Service (AWS KMS) default key for encryption at rest. Use TLS for encryption in transit.
D) Use Amazon S3 File Gateway. Set up a private connection to Amazon S3 by using AWS PrivateLink.
Perform a database backup. Copy the backup files to Amazon S3. Use server-side encryption with Amazon S3 managed encryption keys (SSE-S3) for encryption at rest. Use TLS for encryption in transit.
Import the data from Amazon S3 to the DB instance.

3. A manufacturing company is building an inspection solution for its factory. The company has IP cameras at the end of each assembly line. The company has used Amazon SageMaker to train a machine learning (ML) model to identify common defects from still images.
The company wants to provide local feedback to factory workers when a defect is detected. The company must be able to provide this feedback even if the factory's internet connectivity is down. The company has a local Linux server that hosts an API that provides local feedback to the workers.
How should the company deploy the ML model to meet these requirements?

A) Deploy Amazon Monitron devices on each IP camera. Deploy an Amazon Monitron Gateway on premises. Deploy the ML model to the Amazon Monitron devices. Use Amazon Monitron health state alarms to call the local API from an AWS Lambda function when a defect is detected.
B) Set up an Amazon Kinesis video stream from each IP camera to AWS. Use Amazon EC2 instances to take still images of the streams. Upload the images to an Amazon S3 bucket. Deploy a SageMaker endpoint with the ML model. Invoke an AWS Lambda function to call the inference endpoint when new images are uploaded. Configure the Lambda function to call the local API when a defect is detected.
C) Order an AWS Snowball device. Deploy a SageMaker endpoint the ML model and an Amazon EC2 instance on the Snowball device. Take still images from the cameras. Run inference from the EC2 instance. Configure the instance to call the local API when a defect is detected.
D) Deploy AWS IoT Greengrass on the local server. Deploy the ML model to the Greengrass server. Create a Greengrass component to take still images from the cameras and run inference. Configure the component to call the local API when a defect is detected.

4. A live-events company is designing a scaling solution for its ticket application on AWS. The application has high peaks of utilization during sale events. Each sale event is a one-time event that is scheduled.
The application runs on Amazon EC2 instances that are in an Auto Scaling group. The application uses PostgreSOL for the database layer.
The company needs a scaling solution to maximize availability during the sale events.
Which solution will meet these requirements?

A) Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazcyl ROS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger read replica before a sale event. Fail over to the larger read replica. Create another EventBridge rule that invokes another Lambda function to scale down the read replica after the sale event.
B) Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSOL Serverless v2 Multi-AZ DB instance with automatically scaling read replicas. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
C) Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Multi-AZ DB duster. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger Aurora Replica before a sale event. Fail over to the larger Aurora Replica.
Create another EventBridge rule that invokes another Lambda function to scale down the Aurora Replica after the sale event.
D) Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon RDS for PostgreSOL Multi-AZ DB instance with automatically scaling read replica. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.

5. A company wants to run a custom network analysis software package to inspect traffic as traffic leaves and enters a VPC. The company has deployed the solution by using AWS Cloud Formation on three Amazon EC2 instances in an Auto Scaling group. All network routing has been established to direct traffic to the EC2 instances.
Whenever the analysis software stops working, the Auto Scaling group replaces an instance. The network routes are not updated when the instance replacement occurs.
Which combination of steps will resolve this issue? {Select THREE.)

A) Update the Cloud Formation template to install the Amazon CloudWatch agent on the EC2 instances.
Configure the CloudWatch agent to send process metrics for the application.
B) In the Cloud Formation template, write a condition that updates the network routes when a replacement instance is launched.
C) Create alarms based on EC2 status check metrics that will cause the Auto Scaling group to replace the failed instance.
D) Create an alarm for the custom metric in Amazon CloudWatch for the failure scenarios. Configure the alarm to publish a message to an Amazon Simple Notification Service {Amazon SNS) topic.
E) Create an AWS Lambda function that responds to the Amazon Simple Notification Service (Amazon SNS) message to take the instance out of service. Update the network routes to point to the replacement instance.
F) Update the Cloud Formation template to install AWS Systems Manager Agent on the EC2 instances.
Configure Systems Manager Agent to send process metrics for the application.

Fragen und Antworten: