Win IT Exam with Last Dumps 2024

A company wants to ensure that their EC2 instances are secure. They want to be notified if any new vulnerabilities are discovered on their instances, and they also want an audit trail of all login activities on the instances.
Which solution will meet these requirements?

A. Use AWS Systems Manager to detect vulnerabilities on the EC2 instances. Install the Amazon Kinesis Agent to capture system logs and deliver them to Amazon S3. B. Use AWS Systems Manager to detect vulnerabilities on the EC2 instances. Install the Systems Manager Agent to capture system logs and view login activity in the CloudTrail console. C. Configure Amazon CloudWatch to detect vulnerabilities on the EC2 instances. Install the AWS Config daemon to capture system logs and view them in the AWS Config console. D. Configure Amazon Inspector to detect vulnerabilities on the EC2 instances. Install the Amazon CloudWatch Agent to capture system logs and record them via Amazon CloudWatch Logs.

A DevOps Engineer needs to back up sensitive Amazon S3 objects that are stored within an S3 bucket with a private bucket policy using the S3 cross-region replication functionality. The objects need to be copied to a target bucket in a different AWS Region and account.
Which actions should be performed to enable this replication? (Choose three.)

A. Create a replication IAM role in the source account. B. Create a replication IAM role in the target account. C. Add statements to the source bucket policy allowing the replication IAM role to replicate objects. D. Add statements to the target bucket policy allowing the replication IAM role to replicate objects. E. Create a replication rule in the source bucket to enable the replication. F. Create a replication rule in the target bucket to enable the replication.

A company is using Amazon EC2 for various workloads. Company policy requires that instances be managed centrally to standardize configurations. These configurations include standard logging, metrics, security assessments, and weekly patching.
How can the company meet these requirements? (Choose three.)

A. Use AWS Config to ensure all EC2 instances are managed by Amazon Inspector. B. Use AWS Config to ensure all EC2 instances are managed by AWS Systems Manager. C. Use AWS Systems Manager to install and manage Amazon Inspector, Systems Manager Patch Manager, and the Amazon CloudWatch agent on all instances. D. Use Amazon Inspector to install and manage AWS Systems Manager, Systems Manager Patch Manager, and the Amazon CloudWatch agent on all instances. E. Use AWS Systems Manager maintenance windows with Systems Manager Run Command to schedule Systems Manager Patch Manager tasks. Use the Amazon CloudWatch agent to schedule Amazon Inspector assessment runs. F. Use AWS Systems Manager maintenance windows with Systems Manager Run Command to schedule Systems Manager Patch Manager tasks. Use Amazon CloudWatch Events to schedule Amazon Inspector assessment runs.

A business has an application that consists of five independent AWS Lambda functions.
The DevOps Engineer has built a CI/CD pipeline using AWS CodePipeline and AWS CodeBuild that builds, tests, packages, and deploys each Lambda function in sequence. The pipeline uses an Amazon CloudWatch Events rule to ensure the pipeline execution starts as quickly as possible after a change is made to the application source code.
After working with the pipeline for a few months, the DevOps Engineer has noticed the pipeline takes too long to complete.
What should the DevOps Engineer implement to BEST improve the speed of the pipeline?

A. Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput. B. Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel. C. Modify the CodePipeline configuration to execute actions for each Lambda function in parallel by specifying the same runOrder. D. Modify each CodeBuild project to run within a VPC and use dedicated instances to increase throughput.

A company is creating a software solution that executes a specific parallel-processing mechanism. The software can scale to tens of servers in some special scenarios. This solution uses a proprietary library that is license-based, requiring that each individual server have a single, dedicated license installed. The company has 200 licenses and is planning to run 200 server nodes concurrently at most.
The company has requested the following features:
- A mechanism to automate the use of the licenses at scale.
- Creation of a dashboard to use in the future to verify which licenses are available at any moment.
What is the MOST effective way to accomplish these requirements?

A. Upload the licenses to a private Amazon S3 bucket. Create an AWS CloudFormation template with a Mappings section for the licenses. In the template, create an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the Mappings section. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated. B. Upload the licenses to an Amazon DynamoDB table. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the DynamoDB table. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated. C. Upload the licenses to a private Amazon S3 bucket. Populate an Amazon SQS queue with the list of licenses stored in S3. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script acquire an available license from SQS. Create an Auto Scaling lifecycle hook, then use it to put the license back in SQS after the instance is terminated. D. Upload the licenses to an Amazon DynamoDB table. Create an AWS CLI script to launch the servers by using the parameter --count, with min:max instances to launch. In the user data script, acquire an available license from the DynamoDB table. Monitor each instance and, in case of failure, replace the instance, then manually update the DynamoDB table.

A DevOps Engineer administers an application that manages video files for a video production company. The application runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. Data is stored in an Amazon RDS PostgreSQLMulti-AZ DB instance, and the video files are stored in an Amazon S3 bucket. On a typical day, 50 GB of new video are added to the S3 bucket. The Engineer must implement a multi-region disaster recovery plan with the least data loss and the lowest recovery times. The current application infrastructure is already described using AWS CloudFormation.
Which deployment option should the Engineer choose to meet the uptime and recovery objectives for the system?

A. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create an Amazon RDS read replica in the second region. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, promote the read replica as master. Update the CloudFormation stack and increase the capacity of the Auto Scaling group. B. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create a scheduled task to take daily Amazon RDS cross-region snapshots to the second region. In the second region, enable cross-region replication between the original S3 bucket and Amazon Glacier. In a disaster, launch a new application stack in the second region and restore the database from the most recent snapshot. C. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database, copy the snapshot to the second region, and replace the DB instance in the second region from the snapshot. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, increase the capacity of the Auto Scaling group. D. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database and copy the snapshot to the second region. Create an AWS Lambda function that copies each object to a new S3 bucket in the second region in response to S3 event notifications. In the second region, launch the application from the CloudFormation template and restore the database from the most recent snapshot.

A company is using AWS CodePipeline to automate its release pipeline. AWS CodeDeploy is being used in the pipeline to deploy an application to Amazon ECS using the blue/green deployment model. The company wants to implement scripts to test the green version of the application before shifting traffic. These scripts will complete in 5 minutes or less. If errors are discovered during these tests, the application must be rolled back.
Which strategy will meet these requirements?

A. Add a stage to the CodePipeline pipeline between the source and deploy stages. Use AWS CodeBuild to create an execution environment and build commands in the buildspec file to invoke test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment. B. Add a stage to the CodePipeline pipeline between the source and deploy stages. Use this stage to execute an AWS Lambda function that will run the test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment. C. Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTestTraffic lifecycle event to invoke an AWS Lambda function to run the test scripts. If errors are found, exit the Lambda function with an error to trigger rollback. D. Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTraffic lifecycle event to invoke the test scripts. If errors are found, use the aws deploy stop-deployment CLI command to stop the deployment.

A company requires an RPO of 2 hours and an RTO of 10 minutes for its data and application at all times. An application uses a MySQL database and AmazonEC2 web servers. The development team needs a strategy for failover and disaster recovery.
Which combination of deployment strategies will meet these requirements? (Choose two.)

A. Create an Amazon Aurora cluster in one Availability Zone across multiple Regions as the data store. Use Aurora's automatic recovery capabilities in the event of a disaster. B. Create an Amazon Aurora global database in two Regions as the data store. In the event of a failure, promote the secondary Region as the master for the application. C. Create an Amazon Aurora multi-master cluster across multiple Regions as the data store. Use a Network Load Balancer to balance the database traffic in different Regions. D. Set up the application in two Regions and use Amazon Route 53 failover-based routing that points to the Application Load Balancers in both Regions. Use health checks to determine the availability in a given Region. Use Auto Scaling groups in each Region to adjust capacity based on demand. E. Set up the application in two Regions and use a multi-Region Auto Scaling group behind Application Load Balancers to manage the capacity based on demand. In the event of a disaster, adjust the Auto Scaling group's desired instance count to increase baseline capacity in the failover Region.

An Amazon EC2 instance is running in a Virtual Private Cloud (VPC) and needs to download an object from a restricted Amazon S3 bucket. When the DevOps engineer tries to download, the object an AccessDenied error is received.
What are the possible causes for this error? (Choose two.)

A. The S3 bucket default encryption is enabled B. There is an error in the S3 bucket policy C. The object has been moved to Amazon Glacier D. There is an error in the IAM role configuration E. S3 versioning is enabled

A DevOps team manages an API running on-premises that serves as a backend for an Amazon API Gateway endpoint. Customers have been complaining about high response latencies, which the development team has verified using the API Gateway latency metrics in Amazon CloudWatch. To identify the cause, the team needs to collect relevant data without introducing additional latency.
Which actions should be taken to accomplish this? (Choose two.)

A. Install the CloudWatch agent server side and configure the agent to upload relevant logs to CloudWatch. B. Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and upload those segments to X-Ray during each request. C. Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and use the X-Ray daemon to upload segments to X-Ray. D. Modify the on-premises application to send log information back to API Gateway with each request. E. Modify the on-premises application to calculate and upload statistical data relevant to the API service requests to CloudWatch metrics.