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AWS Certified Professional SAP-C02 Full Course Free

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AWS Certified Solutions Architect - Professional Questions and Answers

Question 37

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?

Options:

A.

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.

B.

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

C.

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 saleevent. Create an Amazon EventBridge rule to invoke the state machine.

D.

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.

Question 38

A company ' s CISO has asked a Solutions Architect to re-engineer the company ' s current CI/CD practices to make sure patch deployments to its applications can happen as quickly as possible with minimal downtime if vulnerabilities are discovered. The company must also be able to quickly roll back a change in case of errors.

The web application is deployed in a fleet of Amazon EC2 instances behind an Application Load Balancer. The company is currently using GitHub to host the application source code, and has configured an AWS CodeBuild project to build the application. The company also intends to use AWS CodePipeline to trigger builds from GitHub commits using the existing CodeBuild project.

What CI/CD configuration meets all of the requirements?

Options:

A.

Configure CodePipeline with a deploy stage using AWS CodeDeploy configured for in-place deployment. Monitor the newly deployed code, and, if there are any issues, push another code update.

B.

Configure CodePipeline with a deploy stage using AWS CodeDeploy configured for blue/green deployments. Monitor the newly deployed code, and, if there are any issues, trigger a manual rollback using CodeDeploy.

C.

Configure CodePipeline with a deploy stage using AWS CloudFormation to create a pipeline for test and production stacks. Monitor the newly deployed code, and, if there are any issues, push another code update.

D.

Configure the CodePipeline with a deploy stage using AWS OpsWorks and in-place deployments. Monitor the newly deployed code, and, if there are any issues, push another code update.

Question 39

A team of data scientists is using Amazon SageMaker instances and SageMaker APIs to train machine learning (ML) models. The SageMaker instances are deployed in a

VPC that does not have access to or from the internet. Datasets for ML model training are stored in an Amazon S3 bucket. Interface VPC endpoints provide access to Amazon S3 and the SageMaker APIs.

Occasionally, the data scientists require access to the Python Package Index (PyPl) repository to update Python packages that they use as part of their workflow. A solutions architect must provide access to the PyPI repository while ensuring that the SageMaker instances remain isolated from the internet.

Which solution will meet these requirements?

Options:

A.

Create an AWS CodeCommit repository for each package that the data scientists need to access. Configure code synchronization between the PyPl repositoryand the CodeCommit repository. Create a VPC endpoint for CodeCommit.

B.

Create a NAT gateway in the VPC. Configure VPC routes to allow access to the internet with a network ACL that allows access to only the PyPl repositoryendpoint.

C.

Create a NAT instance in the VPC. Configure VPC routes to allow access to the internet. Configure SageMaker notebook instance firewall rules that allow access to only the PyPI repository endpoint.

D.

Create an AWS CodeArtifact domain and repository. Add an external connection for public:pypi to the CodeArtifact repository. Configure the Python client touse the CodeArtifact repository. Create a VPC endpoint for CodeArtifact.

Question 40

IoT sensors are manufactured with certificates from a private CA. They must only connect to AWS after physical installation.

Options:

A.

Use Lambda as apre-provisioning hookto validate serial number before registration.

B.

Use Step Functions to validate before provisioning.

C.

Use Lambda hook but register CA and enable auto-registration.

D.

Use provisioning template and claim certificates without validation.

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Total 674 questions
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