SAP-C02 Exam Dumps - AWS Certified Solutions Architect - Professional

Searching for workable clues to ace the Amazon Web Services SAP-C02 Exam? You’re on the right place! ExamCert has realistic, trusted and authentic exam prep tools to help you achieve your desired credential. ExamCert’s SAP-C02 PDF Study Guide, Testing Engine and Exam Dumps follow a reliable exam preparation strategy, providing you the most relevant and updated study material that is crafted in an easy to learn format of questions and answers. ExamCert’s study tools aim at simplifying all complex and confusing concepts of the exam and introduce you to the real exam scenario and practice it with the help of its testing engine and real exam dumps

Go to page:

Question # 153

A company uses AWS Organizations. The company creates a central VPC in an AWS account that is designated for networking in a single AWS Region. The central VPC has an AWS Site-to-Site VPN connection to the company ' s on-premises network. A solutions architect must create another AWS account that uses the same networking resources that the central VPC uses.

Which solution meets these requirements MOST cost-effectively?

Create a VPC in the new AWS account. Create a new Site-to-Site VPN connection for the on-premises connection.

Use AWS Resource Access Manager to share the VPN connection in the central VPC with the new AWS account.

Create a VPC in the new AWS account. Configure a virtual private gateway to connect to the central VPC.

Use AWS Resource Access Manager to share the subnets in the central VPC with the new AWS account.

Full Access

Question # 154

A company has an application that uses an on-premises Oracle database. The company is migrating the database to the AWS Cloud. The database contains customer data and stored procedures.

The company needs to migrate the database as quickly as possible with minimum downtime. The solution on AWS must provide high availability and must use managed services for the database.

Which solution will meet these requirements?

Use AWS DMS to replicate data from the on-premises Oracle database to a new Amazon RDS for Oracle database. Transfer the database files to an Amazon S3 bucket. Configure the RDS database to use the S3 bucket as database storage. Set up S3 replication for high availability. Redirect the application to the RDS DB instance.

Create a database backup of the on-premises Oracle database. Upload the backup to an Amazon S3 bucket. Shut down the on-premises Oracle database to avoid any new transactions. Restore the backup to a new Oracle cluster that consists of Amazon EC2 instances across two Availability Zones. Redirect the application to the EC2 instances.

Use AWS DMS to replicate data from the on-premises Oracle database to a new Amazon DynamoDB table. Use DynamoDB Accelerator (DAX) and implement global tables for high availability. Rewrite the stored procedures in AWS Lambda. Run the stored procedures in DAX. After replication, redirect the application to the DAX cluster endpoint.

Use AWS DMS to replicate data from the on-premises Oracle database to a new Amazon Aurora PostgreSQL database. Use AWS SCT to convert the schema and stored procedures. Redirect the application to the Aurora DB cluster.

Full Access

Answer:

Explanation:

The requirements emphasize minimum downtime, rapid migration, managed database services, high availability, and support for stored procedures. For Oracle-to-AWS migrations with minimal downtime, AWS DMS can replicate ongoing changes from the source database to the target, which reduces cutover downtime. However, a critical constraint is that the database contains stored procedures. If the company moves to a different engine, it must convert schema objects and procedural code.

Option D is the only option that combines an online replication approach (AWS DMS) with a managed, highly available target database (Amazon Aurora PostgreSQL) and explicitly includes schema and stored procedure conversion with AWS SCT. This aligns with a fast migration approach: SCT prepares the converted schema and stored procedures, while DMS performs ongoing replication of data changes until cutover, minimizing downtime. Aurora PostgreSQL is a managed service and supports high availability through multi-AZ architecture and managed failover capabilities within a Region.

Option A is incorrect because Amazon RDS does not use an S3 bucket â€œas database storageâ€ in the way described. RDS storage is managed by the RDS service, and S3 replication is not the mechanism used to provide database high availability. High availability for RDS is typically achieved through Multi-AZ configurations and/or cluster-based architectures depending on engine. The described storage approach is not a valid managed RDS architecture.

Option B does not meet the managed database requirement because it restores Oracle onto EC2 instances, which is self-managed. It also does not meet minimum downtime because it requires shutting down the on-premises database to avoid new transactions before restoring the backup. This is a longer outage model than an online migration with continuous replication.

Option C is not feasible and would require major redesign. DynamoDB is not a relational database replacement for Oracle stored procedures. DAX is a DynamoDB cache and cannot run stored procedures. The option also incorrectly suggests running stored procedures â€œin DAX.â€ This does not meet the â€œmigrate as quickly as possible with minimum downtimeâ€ requirement due to extensive refactoring and redesign.

Therefore, migrating to Aurora PostgreSQL using AWS SCT for schema and stored procedure conversion, and AWS DMS for ongoing replication to minimize downtime, is the best fit.

[References:AWS documentation and best practices describing AWS DMS as a tool for minimal-downtime database migration through continuous replication.AWS documentation describing AWS SCT for converting schema objects and procedural code when migrating between different database engines.AWS documentation describing Amazon Aurora as a managed, highly available database service with built-in multi-AZ resilience., , ]

Question # 155

A financial services company sells its software-as-a-service (SaaS) platform for application compliance to large global banks. The SaaS platform runs on AWS and uses multiple AWS accounts that are managed in an organization in AWS Organizations. The SaaS platform uses many AWS resources globally.

For regulatory compliance, all API calls to AWS resources must be audited, tracked for changes, and stored in a durable and secure data store.

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

Create a new AWS CloudTrail trail. Use an existing Amazon S3 bucket in the organization ' s management account to store the logs. Deploy the trail to all AWS Regions. Enable MFA delete and encryption on the S3 bucket.

Create a new AWS CloudTrail trail in each member account of the organization. Create new Amazon S3 buckets to store the logs. Deploy the trail to all AWS Regions. Enable MFA delete and encryption on the S3 buckets.

Create a new AWS CloudTrail trail in the organization ' s management account. Create a new Amazon S3 bucket with versioning turned on to store the logs. Deploy the trail for all accounts in the organization. Enable MFA delete and encryption on the S3 bucket.

Create a new AWS CloudTrail trail in the organization ' s management account. Create a new Amazon S3 bucket to store the logs. Configure Amazon Simple Notification Service (Amazon SNS) to send log-file delivery notifications to an external management system that will track the logs. Enable MFA delete and encryption on the S3 bucket.

Full Access

Question # 156

Question:

A company runs a Linux app on Amazon EKS usingM6iEC2 instances under a Savings Plan that is about to expire. They want toreduce costsafter expiration.

Rebuild containers forARM64architecture.

Rebuild containers for container compatibility (invalid/unclear).

Migrate EKS nodes toGraviton(e.g., C7g, M7g).

Replace nodes with latestx86_64instances.

Purchase new Savings Plan for Graviton instance family.

Purchase new Savings Plan for x86_64 instances.

Full Access

Question # 157

A company is refactoring its on-premises order-processing platform in the AWS Cloud. The platform includes a web front end that is hosted on a fleet of VMs RabbitMQ to connect the front end to the backend, and a Kubernetes cluster to run a containerized backend system to process the orders. The company does not want to make any major changes to the application

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

Create an AMI of the web server VM Create an Amazon EC2 Auto Scaling group that uses the AMI and an Application Load Balancer Set up Amazon MQ to replace the on-premises messaging queue Configure Amazon Elastic Kubernetes Service (Amazon EKS) to host the order-processing backend

Create a custom AWS Lambda runtime to mimic the web server environment Create an Amazon API Gateway API to replace the front-end web servers Set up Amazon MQ to replace the on-premises messaging queue Configure Amazon Elastic Kubernetes Service (Amazon EKS) to host the order-processing backend

Create an AMI of the web server VM Create an Amazon EC2 Auto Scaling group that uses the AMI and an Application Load Balancer Set up Amazon MQ to replace the on-premises messaging queue Install Kubernetes on a fleet of different EC2 instances to host the order-processing backend

Create an AMI of the web server VM Create an Amazon EC2 Auto Scaling group that uses the AMI and an Application Load Balancer Set up an Amazon Simple Queue Service (Amazon SQS) queue to replace the on-premises messaging queue Configure Amazon Elastic Kubernetes Service (Amazon EKS) to host the order-processing backend

Full Access

Question # 158

A company hosts a data-processing application on Amazon EC2 instances. The application polls an Amazon Elastic File System (Amazon EFS) file system for newly uploaded files. When a new file is detected, the application extracts data from the file and runs logic to select a Docker container image to process the file. The application starts the appropriate container image and passes the file location as a parameter.

The data processing that the container performs can take up to 2 hours. When the processing is complete, the code that runs inside the container writes the file back to Amazon EFS and exits.

The company needs to refactor the application to eliminate the EC2 instances that are running the containers

Which solution will meet these requirements?

Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an Amazon EventBridge rule that starts the appropriate Fargate task. Configure the EventBridge rule to run when files are added to the EFS file system.

Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Update and containerize the container selection logic to run as a Fargate service that starts the appropriate Fargate task. Configure an EFS event notification to invoke the Fargate service when files are added to the EFS file system.

Create an Amazon Elastic Container Service (Amazon ECS) cluster. Configure the processing to run as AWS Fargate tasks. Extract the container selection logic to run as an AWS Lambda function that starts the appropriate Fargate task. Migrate the storage of file uploads to an Amazon S3 bucket. Update theprocessing code to use Amazon S3. Configure an S3 event notification to invoke the Lambda function when objects are created.

Create AWS Lambda container images for the processing. Configure Lambda functions to use the container images. Extract the container selection logic torun as a decision Lambda function that invokes the appropriate Lambda processing function. Migrate the storage of file uploads to an Amazon S3 bucket.Update the processing code to use Amazon S3. Configure an S3 event notification to invoke the decision Lambda function when objects are created

Full Access

Question # 159

A company wants to use AWS for disaster recovery for an on-premises application. The company has hundreds of Windows-based servers that run the application. All the servers mount a common share.

The company has an RTO of 15 minutes and an RPO of 5 minutes. The solution must support native failover and fallback capabilities.

Which solution will meet these requirements MOST cost-effectively?

Create an AWS Storage Gateway File Gateway. Schedule daily Windows server backups. Save the data lo Amazon S3. During a disaster, recover the on-premises servers from the backup. During failback. run the on-premises servers on Amazon EC2 instances.

Create a set of AWS CloudFormation templates to create infrastructure. Replicate all data to Amazon Elastic File System (Amazon EFS) by using AWS DataSync. During a disaster, use AWS CodePipeline to deploy the templates to restore the on-premises servers. Fail back the data by using DataSync.

Create an AWS Cloud Development Kit (AWS CDK) pipeline to stand up a multi-site active-active environment on AWS. Replicate data into Amazon S3 by using the s3 sync command. During a disaster, swap DNS endpoints to point to AWS. Fail back the data by using the s3 sync command.

Use AWS Elastic Disaster Recovery to replicate the on-premises servers. Replicate data to an Amazon FSx for Windows File Server file system by using AWS DataSync. Mount the file system to AWS servers. During a disaster, fail over the on-premises servers to AWS. Fail back to new or existing servers by using Elastic Disaster Recovery.

Full Access

Question # 160

A company is running its solution on AWS in a manually created VPC. The company is using AWS CloudFormation to provision other parts of the infrastructure According to a new requirement the company must manage all infrastructure in an automatic way

What should the comp any do to meet this new requirement with the LEAST effort?

Create a new AWS Cloud Development Kit (AWS CDK) stack that strictly provisions the existing VPC resources and configuration Use AWS CDK to import the VPC into the stack and to manage the VPC

Create a CloudFormation stack set that creates the VPC Use the stack set to import the VPC into the stack

Create a new CloudFormation template that strictly provisions the existing VPC resources and configuration From the CloudFormation console, create a new stack by importing the existing resources

Create a new CloudFormation template that creates the VPC Use the AWS Serverless Application Model (AWS SAM) CLI to import the VPC

Full Access