Amazon Web Services udemy selected Sap-c02 Aws Certified Professional Questions Answers by Zayne q42 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Professional
Exam Code:	SAP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	683 Q&A's	Shared By:	zayne

Question 136

Question:

How can applications in multiple AWS accounts privately access aPostgreSQL RDS instancein a separate AWS account, while managing the number of connections?

Options:

Transit Gateway + NAT Gateway

RDS Proxy + PrivateLink via NLB

VPC Peering + Application Load Balancer

VPC Peering + NAT Gateway

Discussion

Question 137

A company has a web application that allows users to upload short videos. The videos are stored on Amazon EBS volumes and analyzed by custom recognition software for categorization.

The website contains stat c content that has variable traffic with peaks in certain months. The architecture consists of Amazon EC2 instances running in an Auto Scaling group for the web application and EC2 instances running in an Auto Scaling group to process an Amazon SQS queue The company wants to re-architect the application to reduce operational overhead using AWS managed services where possible and remove dependencies on third-party software.

Which solution meets these requirements?

Options:

Use Amazon ECS containers for the web application and Spot Instances for the Auto Scaling group that processes the SQS queue. Replace the custom software with Amazon Recognition to categorize the videos.

Store the uploaded videos n Amazon EFS and mount the file system to the EC2 instances for Te web application. Process the SOS queue with an AWS Lambda function that calls the Amazon Rekognition API to categorize the videos.

Host the web application in Amazon S3. Store the uploaded videos in Amazon S3. Use S3 event notifications to publish events to the SQS queue Process the SQS queue with an AWS Lambda function that calls the Amazon Rekognition API to categorize the videos.

Use AWS Elastic Beanstalk to launch EC2 instances in an Auto Scaling group for the web application and launch a worker environment to process the SQS queue Replace the custom software with Amazon Rekognition to categorize the videos.

Discussion

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Question 138

A company migrated to AWS and uses AWS Business Support. The company wants to monitor thecost-effectiveness of Amazon EC2 instances. The EC2 instances have tags for department, business unit, and environment. Development EC2 instances have high cost but low utilization.

The company needs to detect and stop any underutilized development EC2 instances. Instances are underutilized if they had 10% or less average CPU utilization and 5 MB or less network I/O for at least 4 of the past 14 days.

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

Options:

Configure Amazon CloudWatch dashboards to monitor EC2 instance utilization based on tags for department, business unit, and environment. Create an Amazon EventBridge rule that invokes an AWS Lambda function to stop underutilized development EC2 instances.

Configure AWS Systems Manager to track EC2 instance utilization and report underutilized instances to Amazon CloudWatch. Filter the CloudWatch data by tags for department, business unit, and environment. Create an Amazon EventBridge rule that invokes an AWS Lambda function to stop underutilized EC2 instances.

Create an Amazon EventBridge rule to detect low utilization of EC2 instances reported by AWS Trusted Advisor. Configure the rule to invoke a Lambda function that filters the data by tags for department, business unit, and environment and stops underutilized development EC2 instances.

Create an AWS Lambda function to run daily to retrieve utilization data for all EC2 instances. Save the data to an Amazon DynamoDB table. Create a QuickSight dashboard that uses the DynamoDB table as a data source to identify and stop underutilized development EC2 instances.

Discussion

Question 139

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?

Options:

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

Discussion

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