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

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Question # 129

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?

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.

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Question # 130

A company has a serverless application comprised of Amazon CloudFront, Amazon API Gateway, and AWS Lambda functions. The current deployment process of the application code is to create a new version number of the Lambda function and run an AWS CLI script to update. If the new function version has errors, another CLI script reverts by deploying the previous working version of the function. The company would like to decrease the time to deploy new versions of the application logic provided by the Lambda functions, and also reduce the time to detect and revert when errors are identified.

How can this be accomplished?

Create and deploy nested AWS CloudFormation stacks with the parent stack consisting of the AWS CloudFront distribution and API Gateway, and the child stack containing the Lambda function. For changes to Lambda, create an AWS CloudFormation change set and deploy; if errors are triggered, revert the AWS CloudFormation change set to the previous version.

Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.

Refactor the AWS CLI scripts into a single script that deploys the new Lambda version. When deployment is completed, the script tests execute. If errors are detected, revert to the previous Lambda version.

Create and deploy an AWS CloudFormation stack that consists of a new API Gateway endpoint that references the new Lambda version. Change the CloudFront origin to the new API Gateway endpoint, monitor errors and if detected, change the AWS CloudFront origin to the previous API Gateway endpoint.

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Question # 131

Question:

A solutions architect is importing a VM from an on-premises environment by using the Amazon EC2 VM Import feature. The imported instance has a public IP and runs in a public subnet in a VPC. However, the instance doesnot appearin the AWS Systems Manager (SSM) console as a managed instance.

Which combination of steps should the architect take to resolve the issue? (Select TWO.)

Verify that Systems Manager Agent is installed on the instance and is running.

Verify that the instance is assigned an appropriate IAM role for Systems Manager.

Verify the existence of a VPC endpoint on the VPC.

Verify that the AWS Application Discovery Agent is configured.

Verify the correct configuration of service-linked roles for Systems Manager.

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Question # 132

A company wants to containerize a multi-tier web application and move the application from an on-premises data center to AWS. The application includes web. application, and database tiers. The company needs to make the application fault tolerant and scalable. Some frequently accessed data must always be available across application servers. Frontend web servers need session persistence and must scale to meet increases in traffic.

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

Run the application on Amazon Elastic Container Service (Amazon ECS) on AWS Fargate. Use Amazon Elastic File System (Amazon EFS) for data that is frequently accessed between the web and application tiers. Store the frontend web server session data in Amazon Simple Queue Service (Amazon SOS).

Run the application on Amazon Elastic Container Service (Amazon ECS) on Amazon EC2. Use Amazon ElastiCache for Redis to cache frontend web server session data. Use Amazon Elastic Block Store (Amazon EBS) with Multi-Attach on EC2 instances that are distributed across multiple Availability Zones.

Run the application on Amazon Elastic Kubernetes Service (Amazon EKS). Configure Amazon EKS to use managed node groups. Use ReplicaSets to run the web servers and applications. Create an Amazon Elastic File System (Amazon EFS) Me system. Mount the EFS file system across all EKS pods to store frontend web server session data.

Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS) Configure Amazon EKS to use managed node groups. Run the web servers and application as Kubernetes deployments in the EKS cluster. Store the frontend web server session data in an Amazon DynamoDB table. Create an Amazon Elastic File System (Amazon EFS) volume that all applications will mount at the time of deployment.

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Question # 133

A company operates a data analytics platform that uses Amazon S3 to store petabytes of customer data. The platform stores data in multiple S3 buckets across four AWS Regions. The company has configured S3 Cross-Region Replication and uses several S3 prefixes across the S3 buckets.

The company wants to analyze and visualize trends and replication metrics for its S3 storage, including for specific prefixes, over a 12-month period.

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

Use the S3 Intelligent-Tiering storage class for all the S3 buckets. Configure Amazon CloudWatch to collect metrics for storage transitions. Track S3 API calls in AWS CloudTrail. Export all logs and metrics to an S3 bucket. Use Amazon Athena to query the logs. Add bucket prefixes to query clauses for the specified prefixes. Use Amazon QuickSight to generate visualizations.

Create an S3 Storage Lens dashboard. Enable advanced metrics and recommendations. Create Storage Lens groups and configure filters for the specified prefixes. Attach the groups to the dashboard. Configure Storage Lens metrics to export to an S3 bucket. Use Amazon Athena to query the metrics. Use Amazon QuickSight to generate visualizations for custom analytics.

Configure AWS Cost Explorer with S3 storage filters. Set up scheduled reports to produce daily exports. Export all data to Amazon CloudWatch Logs and use CloudWatch Logs Insights to query and visualize the data. Track the CloudWatch bucket prefix metric for the specified prefixes.

Create an S3 Storage Lens dashboard. Enable default metrics and recommendations. Configure S3 server access logging on all the buckets. Deliver all logs and metrics to an Amazon Managed Service for Prometheus workspace. Add bucket prefix metadata. Use Amazon Managed Grafana to query and visualize the data.

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Question # 134

Question:

A company is migrating a large on-prem Oracle database (withstored procedures) to AWS. The solution must usemanaged services, behighly available, and enable afast migrationwithminimal downtime.

Use AWS DMS to replicate data to RDS for Oracle. Store database files in S3.

Use backup and restore into EC2-hosted Oracle cluster.

Use DMS to move data to DynamoDB. Recreate stored procedures in Lambda.

Use DMS to migrate toAmazon Aurora PostgreSQL. UseAWS SCTto convert stored procedures.

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Question # 135

A company has more than 20 application development teams. All the teams use AWS CloudFormation to deploy application resources in the company ' s production AWS account. The production account is a member of an organization in AWS Organizations that has all features enabled.

The company must ensure that all resources that the development teams provision match a set of predefined rules. The company needs a solution to prevent users from provisioning noncompliant resources through CloudFormation.

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

Implement each configuration rule as a separate AWS Config custom AWS Lambda rule. Deploy the Lambda functions to the company ' s production account. Implement SCPs to prevent changes to the Lambda functions and to deny any operation that could disable AWS Config or its rules or triggers in the production account.

Use CloudFormation Hooks to implement the configuration rules. Use a separate AWS Lambda function to enforce each rule. Use CloudFormation StackSets to deploy and register Hooks across all member accounts in the organization. Use SCPs and IAM policies to prevent Hook modifications and Lambda function changes in member accounts.

Implement the configuration rules as an AWS Lambda function. Configure a CloudFormation macro definition to make the Lambda function available to CloudFormation. Configure the function to check the CloudFormation template against the configuration rules. Use the macro in all CloudFormation deployment templates.

Implement the configuration rules by using AWS CloudFormation Guard rules. Use the cfn-guard-lambda command to install Guard as an AWS Lambda function. Build and run Guard by invoking the Lambda function. Provide the CloudFormation template and the rule set as inputs to the function.

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Question # 136

A company that develops consumer electronics with offices in Europe and Asia has 60 TB of software images stored on premises in Europe The company wants to transfer the images to an Amazon S3 bucket in the ap-northeast-1 Region New software images are created daily and must be encrypted in transit The company needs a solution that does not require custom development toautomatically transfer all existing and new software images to Amazon S3

What is the next step in the transfer process?

Deploy an AWS DataSync agent and configure a task to transfer the images to the S3 bucket

Configure Amazon Kinesis Data Firehose to transfer the images using S3 Transfer Acceleration

Use an AWS Snowball device to transfer the images with the S3 bucket as the target

Transfer the images over a Site-to-Site VPN connection using the S3 API with multipart upload

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