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

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Question # 41

A company hosts a ticketing service on a fleet of Linux Amazon EC2 instances that are in an Auto Scaling group. The ticketing service uses a pricing file. The pricing file is stored in an Amazon S3 bucket that has S3 Standard storage. A central pricing solution that is hosted by a third party updates the pricing file.

The pricing file is updated every 1â€“15 minutes and has several thousand line items. The pricing file is downloaded to each EC2 instance when the instance launches.

The EC2 instances occasionally use outdated pricing information that can result in incorrect charges for customers.

Which solution will resolve this problem MOST cost-effectively?

Create an AWS Lambda function to update an Amazon DynamoDB table with new prices each time the pricing file is updated. Update the ticketing service to use DynamoDB to look up pricing.

Create an AWS Lambda function to update an Amazon EFS file share with the pricing file each time the file is updated. Update the ticketing service to use Amazon EFS to access the pricing file.

Load Mountpoint for Amazon S3 onto the AMI of the EC2 instances. Configure Mountpoint for Amazon S3 to mount the S3 bucket that contains the pricing file. Update the ticketing service to point to the mount point and path to access the S3 object.

Create an Amazon EBS volume. Use EBS Multi-Attach to attach the volume to every EC2 instance. When a new EC2 instance launches, configure the new instance to update the pricing file on the EBS volume. Update the ticketing service to point to the new local source.

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Question # 42

A company is providing weather data over a REST-based API to several customers. The API is hosted by Amazon API Gateway and is integrated with different AWS Lambda functions for each API operation. The company uses Amazon Route 53 for DNS and has created a resource record of weather.example.com. The company stores data for the API in Amazon DynamoDB tables. The company needs a solution that will give the API the ability to fail over to a different AWS Region.

Which solution will meet these requirements?

Deploy a new set of Lambda functions in a new Region. Update the API Gateway API to use an edge-optimized API endpoint with Lambda functions from both Regions as targets. Convert the DynamoDB tables to global tables.

Deploy a new API Gateway API and Lambda functions in another Region. Change the Route 53 DNS record to a multivalue answer. Add both API Gateway APIs to the answer. Enable target health monitoring. Convert the DynamoDB tables to global tables.

Deploy a new API Gateway API and Lambda functions in another Region. Change the Route 53 DNS record to a failover record. Enable target health monitoring. Convert the DynamoDB tables to global tables.

Deploy a new API Gateway API in a new Region. Change the Lambda functions to global functions. Change the Route 53 DNS record to a multivalue answer. Add both API Gateway APIs to the answer. Enable target health monitoring. Convert the DynamoDB tables to global tables.

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Question # 43

A company wants to migrate its website to AWS. The website uses microservices and runs on containers that are deployed in an on-premises, self-managed Kubernetes cluster. All the manifests that define the deployments for the containers in the Kubernetes deployment are in source control.

All data for the website is stored in a PostgreSQL database. An open source container image repository runs alongside the on-premises environment.

A solutions architect needs to determine the architecture that the company will use for the website on AWS.

Which solution will meet these requirements with the LEAST effort to migrate?

Create an AWS App Runner service. Connect the App Runner service to the open source container image repository. Deploy the manifests from on premises to the App Runner service. Create an Amazon RDS for PostgreSQL database.

Create an Amazon EKS cluster that has managed node groups. Copy the application containers to a new Amazon ECR repository. Deploy the manifests from on premises to the EKS cluster. Create an Amazon Aurora PostgreSQL DB cluster.

Create an Amazon ECS cluster that has an Amazon EC2 capacity pool. Copy the application containers to a new Amazon ECR repository. Register each container image as a new task definition. Configure ECS services for each task definition to match the original Kubernetes deployments. Create an Amazon Aurora PostgreSQL DB cluster.

Rebuild the on-premises Kubernetes cluster by hosting the cluster on Amazon EC2 instances. Migrate the open source container image repository to the EC2 instances. Deploy the manifests from on premises to the new cluster on AWS. Deploy an open source PostgreSQL database on the new cluster.

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Question # 44

A company wants to optimize AWS data-transfer costs and compute costs across developer accounts within the company's organization in AWS Organizations Developers can configure VPCs and launch Amazon EC2 instances in a single AWS Region The EC2 instances retrieve approximately 1 TB of data each day from Amazon S3

The developer activity leads to excessive monthly data-transfer charges and NAT gateway processing charges between EC2 instances and S3 buckets, along with high compute costs The company wants to proactively enforce approved architectural patterns for any EC2 instance and VPC infrastructure that developers deploy within the AWS accounts The company does not wantthis enforcement to negatively affect the speed at which the developers can perform their tasks

Which solution will meet these requirements MOST cost-effectively?

Create SCPs to prevent developers from launching unapproved EC2 instance types Provide the developers with an AWS CloudFormation template to deploy an approved VPC configuration with S3 interface endpoints Scope the developers* IAM permissions so that the developers can launch VPC resources only with CloudFormation

Create a daily forecasted budget with AWS Budgets to monitor EC2 compute costs and S3 data-transfer costs across the developer accounts When the forecasted cost is 75% of the actual budget cost, send an alert to the developer teams If the actual budget cost is 100%. create a budget action to terminate the developers' EC2 instances and VPC infrastructure

Create an AWS Service Catalog portfolio that users can use to create an approved VPC configuration with S3 gateway endpoints and approved EC2 instances Share the portfolio with the developer accounts Configure an AWS Service Catalog launch constraint to use an approved IAM role Scope the developers' IAM permissions to allow access only to AWS Service Catalog

Create and deploy AWS Config rules to monitor the compliance of EC2 and VPC resources in the developer AWS accounts If developers launch unapproved EC2 instances or if developers create VPCs without S3 gateway endpoints perform a remediation action to terminate the unapproved resources

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Question # 45

A company is using a single AWS Region for its ecommerce website. The website includes a web application that runs on several Amazon EC2 instances behind an Application Load Balancer (ALB). The website also includes an Amazon DynamoDB table. A custom domain name in Amazon Route 53 is linked to the ALB. The company created an SSL/TLS certificate in AWS Certificate Manager (ACM) and attached the certificate to the ALB. The company is not using a content delivery network as part of its design. The company wants to replicate its entire application stack in a second Region to provide disaster recovery, plan for future growth, and provide improved access time to users. A solutions architect needs to implement a solution that achieves these goals and minimizes administrative overhead. Which combination of steps should the solutions architect take to meet these requirements? (Select THREE.)

Create an AWS CloudFormation template for the current infrastructure design. Use parameters for important system values, including Region. Use the CloudFormation template to create the new infrastructure in the second Region.

Use the AWS Management Console to document the existing infrastructure design in the first Region and to create the new infrastructure in the second Region.

Update the Route 53 hosted zone record for the application to use weighted routing. Send 50% of the traffic to the ALB in each Region.

Update the Route 53 hosted zone record for the application to use latency-based routing. Send traffic to the ALB in each Region.

Update the configuration of the existing DynamoDB table by enabling DynamoDB Streams. Add the second Region to create a global table.

Create a new DynamoDB table. Enable DynamoDB Streams for the new table. Add the second Region to create a global table. Copy the data from the existing DynamoDB table to the new table as a one-time operation.

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Question # 46

A solutions architect needs to improve an application that is hosted in the AWS Cloud. The application uses an Amazon Aurora MySQL DB instance that is experiencing overloaded connections. Most of the application's operations insert records into the database. The application currently stores credentials in a text-based configuration file.

The solutions architect needs to implement a solution so that the application can handle the current connection load. The solution must keep the credentials secure and must provide the ability to rotatethe credentials automatically on a regular basis.

Which solution will meet these requirements?

Deploy an Amazon RDS Proxy layer in front of the DB instance. Store the connection credentials as a secret in AWS Secrets Manager.

Deploy an Amazon RDS Proxy layer in front of the DB instance. Store the connection credentials in AWS Systems Manager Parameter Store.

Create an Aurora Replica. Store the connection credentials as a secret in AWS Secrets Manager.

Create an Aurora Replica. Store the connection credentials in AWS Systems Manager Parameter Store.

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Question # 47

A company has a new application that needs to run on five Amazon EC2 instances in a single AWS Region. The application requires high-through put. low-latency network connections between all to the EC2 instances where the application will run. There is no requirement for the application to be fault tolerant.

Which solution will meet these requirements?

Launch five new EC2 instances into a cluster placement group. Ensure that the EC2instance type supports enhanced networking.

Launch five new EC2 instances into an Auto Scaling group in the same Availability Zone. Attach an extra elastic network interface to each EC2 instance.

Launch five new EC2 instances into a partition placement group. Ensure that the EC2 instance type supports enhanced networking.

Launch five new EC2 instances into a spread placement group Attach an extra elastic network interface to each EC2 instance.

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Question # 48

A company runs a workload in the AWS Cloud. The company stores data for the application in an older version of Amazon DocumentDB. Several backend services read and write data to the database continuously throughout all hours of the day. All services connect to the database by using the Amazon DocumentDB cluster endpoint, which is registered as a DNS record in Amazon Route 53.

The company needs to upgrade the database to the latest version of Amazon DocumentDB without losing any data. The company must be able to test and verify the upgrade before the company allows backend services to use the upgraded version. The company has already enabled change streams and set a retention period of 24 hours.

Which solution will meet these requirements?

Create a new Amazon DocumentDB cluster that runs the latest version. Use the Amazon DocumentDB Index Tool to export existing indexes and import them to the new cluster. Create a new AWS DMS instance and a source and target endpoint. Create a DMS task to migrate the data by using the Migrate and replicate migration type. Test and verify the new cluster. Update the Route 53 record to point to the new cluster.

Create a new Amazon DocumentDB cluster that runs the latest version. Install MongoDB command line interface (CLI) database tools on an Amazon EC2 instance. Use the MongoDB CLI to create a binary export, and import the data to the new Amazon DocumentDB cluster. Test and verify the new cluster. Update the Route 53 record to point to the new cluster.

Create a snapshot of the existing Amazon DocumentDB cluster. Perform an in-place major version upgrade. Modify the existing cluster to the latest version and the latest cluster parameter group. Apply modifications immediately. Test and verify the upgrade.

Create a new Amazon DocumentDB cluster that runs the latest version. Deploy the AWS DataSync agent to an Amazon EC2 instance and activate the agent. Create a new AWS DataSync task in enhanced mode. Start the transfer task to copy data to the new cluster. Test and verify the new cluster. Update the Route 53 record to point to the new cluster.

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Answer:

Explanation:

The company needs to upgrade DocumentDB to the latest version with no data loss while allowing continuous reads and writes. The company also must be able to test and verify the upgrade before switching production traffic. This is a classic requirement for performing an upgrade using a blue/green approach: build a new target environment on the new version, keep it in sync with the source, validate it, and then cut over by changing the endpoint (here, Route 53 DNS).

Option A implements this pattern using a new DocumentDB cluster running the latest version and AWS DMS to continuously migrate and replicate changes from the old cluster to the new cluster. Because the workload is continuously changing, a one-time export/import is insufficient; continuous replication is needed to keep the target cluster current during the test period. AWS DMS supports a â€œmigrate and replicateâ€ style of task that performs a full load and then applies ongoing changes (CDC) so the target stays synchronized. The question also states that change streams are enabled with a 24-hour retention period, which supports capturing and applying changes during migration/validation and helps ensure the replication stream can be maintained while testing.

Option A also addresses indexes by using the DocumentDB Index Tool to export and import indexes, which is important because indexes can affect query performance and behavior. After the company validates the new cluster, the cutover is done by updating the Route 53 record to point to the new cluster endpoint, switching all backend services without changing application configuration beyond DNS resolution.

Option B uses MongoDB CLI tools to export/import. This is not suitable for continuous write workloads because export/import is a point-in-time operation and would require downtime or risk data divergence during the test period. It also adds more operational overhead and does not provide continuous replication for the duration of validation.

Option C performs an in-place major version upgrade. That does not satisfy the requirement to test and verify the upgrade before backend services use the upgraded version because the upgrade happens directly on the production cluster. Even though a snapshot exists for rollback, production is still exposed to the upgrade immediately, which violates the requirement for pre-cutover verification.

Option D is incorrect because AWS DataSync transfers files between storage systems such as NFS/SMB and AWS storage services. It is not a database migration or replication service and cannot copy a DocumentDB database in a way that preserves database semantics and supports continuous replication.

Therefore, creating a new DocumentDB cluster, keeping it synchronized using AWS DMS (supported by change stream retention), validating it, and then cutting over via Route 53 DNS update (option A) meets all requirements.

[References:, AWS documentation on blue/green style database upgrades by migrating to a new cluster and cutting over via DNS., AWS documentation on AWS DMS full load plus ongoing replication (CDC) patterns for minimizing downtime and maintaining target synchronization during validation., AWS documentation on Amazon DocumentDB change streams and retention considerations for capturing ongoing changes during migration windows., , ]

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