AWS Certified Professional Changed SAP-C02 Questions

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Question 52

A North American company with headquarters on the East Coast is deploying a new web application running on Amazon EC2 in the us-east-1 Region. The application should dynamically scale to meet user demand and maintain resiliency. Additionally, the application must have disaster recover capabilities in an active-passive configuration with the us-west-1 Region.

Which steps should a solutions architect take after creating a VPC in the us-east-1 Region?

Options:

Create a VPC in the us-west-1 Region. Use inter-Region VPC peering to connect both VPCs. Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs in each Region as part of an Auto Scaling group spanning both VPCs and served by the ALB.

Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs as part of an Auto Scaling group served by the ALB. Deploy the same solution to the us-west-1 Region. Create an Amazon Route 53 record set with a failover routing policy and health checks enabled to provide high availability across both Regions.

Create a VPC in the us-west-1 Region. Use inter-Region VPC peering to connect both VPCs. Deploy an Application Load Balancer (ALB) that spans both VPCs. Deploy EC2 instances across multiple Availability Zones as part of an Auto Scaling group in each VPC served by the ALB. Create an Amazon Route 53 record that points to the ALB.

Deploy an Application Load Balancer (ALB) spanning multiple Availability Zones (AZs) to the VPC in the us-east-1 Region. Deploy EC2 instances across multiple AZs as part of an Auto Scaling group served by the ALB. Deploy the same solution to the us-west-1 Region. Create separate Amazon Route 53 records in each Region that point to the ALB in the Region. Use Route 53 health checks to provide high availability across both Regions.

Question 53

A company is deploying a distributed in-memory database on a fleet of Amazon EC2 instances. The fleet consists of a primary node and eight worker nodes. The primary node is responsible for monitoring cluster health, accepting user requests, distributing user requests to worker nodes, and sending an aggregate response back to a client. Worker nodes communicate with each other to replicate data partitions.

The company requires the lowest possible networking latency to achieve maximum performance.

Which solution will meet these requirements?

Options:

Launch memory optimized EC2 instances in a partition placement group.

Launch compute optimized EC2 instances in a partition placement group.

Launch memory optimized EC2 instances in a cluster placement group

Launch compute optimized EC2 instances in a spread placement group.

Question 54

A company is running an application on premises. The application uses a set of web servers that host a static React-based single-page application (SPA), a Node.js API, and a MYSQL database server. The database is read intensive. The company will need to expand the database's storage at an unpredictable rate.

The company must migrate the application to AWS. The company also must modernize the architecture to reduce infrastructure management and increase scalability.

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

Options:

Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon RDS for MySQL. Use AWS Application Migration Service to migrate the web application to a fleet of Amazon EC2 instances behind an Elastic Load Balancing (ELB) load balancer. Use a Spot Fleet with a request type of request to host the API.

Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon Aurora MySQL. Copy the web files to an Amazon S3 bucket and set up web hosting. Copy the API code to AWS Lambda functions. Configure Amazon API Gateway to point to the Lambda functions.

Use AWS Database Migration Service (AWS DMS) to migrate the database to a MySQL database that runs on Amazon EC2 instances. Use AWS DataSync to migrate the web files and API files to an Amazon FSx for Windows File Server file system. Set up a fleet of EC2 instances in an Auto Scaling group as web servers. Mount the FSx for Windows File Server file system.

Use AWS Application Migration Service to migrate the database to Amazon EC2 instances. Copy the web files to containers that run on Amazon Elastic Kubernetes Service (Amazon EKS). Set up an Elastic Load Balancing (ELB) load balancer for the EC2 instances and EKS containers. Copy the API code to AWS Lambda functions. Configure Amazon API Gateway to point to the Lambda functions.

Question 55

A financial services company has an asset management product that thousands of customers use around the world. The customers provide feedback about the product

through surveys. The company is building a new analytical solution that runs on Amazon EMR to analyze the data from these surveys. The following user personas need to access the analytical solution to perform different actions:

• Administrator: Provisions the EMR cluster for the analytics team based on the team's requirements

• Data engineer: Runs E TL scripts to process, transform, and enrich the datasets

• Data analyst: Runs SQL and Hive queries on the data

A solutions architect must ensure that all the user personas have least privilege access to only the resources that they need. The user personas must be able to launch only applications that are approved and authorized. The solution also must ensure tagging for all resources that the user personas create.

Which solution will meet these requirements?

Options:

Create IAM roles for each user persona. Attach identity-based policies to define which actions the user who assumes the role can perform. Create an AWS Config rule to check for noncompliant resources. Configure the rule to notify the administrator to remediate the noncompliant resources.

Set up Kerberos-based authentication for EMR clusters upon launch. Specify a Kerberos security configuration along with cluster-specific Kerberos options.

Use AWS Service Catalog to control the Amazon EMR versions available for deployment, the cluster configuration, and the permissions for each user persona.

Launch the EMR cluster by using AWS CloudFormation. Attach resource-based policies to the EMR cluster during cluster creation. Create an AWS Config rule to check for noncompliant clusters and noncompliant Amazon S3 buckets. Configure the rule to notify the administrator to remediate the noncompliant resources.

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