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Viewing page 6 out of 14 pages

Viewing questions 51-60 out of questions

Questions # 51:

A company uses machine learning on transactional data that a development team uploads from multiple sources to an Amazon S3 bucket. The development team finds duplicate objects in the S3 bucket across multiple prefixes. The duplications are increasing the company ' s storage costs.

The company wants to implement an automated solution to identify and remove duplicate objects from the S3 bucket.

Which solution will meet this requirement?

Options:

Use Amazon S3 Storage Lens to scan the S3 bucket and prefixes, create an inventory of the duplicate objects, and invoke an AWS Lambda function to delete the duplicate objects.

Configure AWS CloudTrail to record data events for the S3 bucket. Use Amazon Athena to query S3 data events to identify duplicate objects. Use an AWS Lambda function to delete duplicate objects.

Use Amazon S3 Inventory to generate reports. Use Amazon Athena to query the reports based on ETag values. Use S3 Batch Operations and an AWS Lambda function to remove duplicate objects.

Use AWS Config to identify object changes. Use Amazon EventBridge to delete duplicate objects by running the aws:executeScript action in AWS Systems Manager.

Questions # 52:

A company is running its ecommerce website on AWS. The website is currently hosted on a single Amazon EC2 instance in one Availability Zone. A MySQL database runs on the same EC2 instance. The company needs to eliminate single points of failure in the architecture to improve the website ' s availability and resilience. Which solution will meet these requirements with the LEAST configuration changes to the website?

Options:

Deploy the application by using AWS Fargate containers. Migrate the database to Amazon DynamoDB. Use Amazon API Gateway to route requests.

Deploy the application on EC2 instances across multiple Availability Zones. Put the EC2 instances into an Auto Scaling group behind an Application Load Balancer. Migrate the database to Amazon Aurora Multi-AZ. Use Amazon CloudFront for content delivery.

Use AWS Elastic Beanstalk to deploy the application across multiple AWS Regions. Migrate the database to Amazon Redshift. Use Amazon ElastiCache for session management.

Migrate the application to AWS Lambda functions. Use Amazon S3 for static content hosting. Migrate the database to Amazon DocumentDB (with MongoDB compatibility).

Questions # 53:

A company is performing vulnerability scanning for all Amazon EC2 instances across many accounts. The accounts are in an organization in AWS Organizations. Each account ' s VPCs are attached to a shared transit gateway. The VPCs send traffic to the internet through a central egress VPC. The company has enabled Amazon Inspector in a delegated administrator account and has enabled scanning for all member accounts.

A DevOps engineer discovers that some EC2 instances are listed in the " not scanning " tab in Amazon Inspector.

Which combination of actions should the DevOps engineer take to resolve this issue? (Choose three.)

Options:

Verify that AWS Systems Manager Agent is installed and is running on the EC2 instances that Amazon Inspector is not scanning.

Associate the target EC2 instances with security groups that allow outbound communication on port 443 to the AWS Systems Manager service endpoint.

Grant inspector: StartAssessmentRun permissions to the IAM role that the DevOps engineer is using.

Configure EC2 Instance Connect for the EC2 instances that Amazon Inspector is not scanning.

Associate the target EC2 instances with instance profiles that grant permissions to communicate with AWS Systems Manager.

Create a managed-instance activation. Use the Activation Code and the Activation ID to register the EC2 instances.

Questions # 54:

A company is building a web application on AWS. The application uses AWS CodeConnections to access a Git repository. The company sets up a pipeline in AWS CodePipeline that automatically builds and deploys the application to a staging environment when the company pushes code to the main branch. Bugs and integration issues sometimes occur in the main branch because there is no automated testing integrated into the pipeline.

The company wants to automatically run tests when code merges occur in the Git repository and to prevent deployments from reaching the staging environment if any test fails. Tests can run up to 20 minutes. Which solution will meet these requirements?

Options:

Add an AWS CodeBuild action to the pipeline. Add a buildspec.yml file to the Git repository to define commands to run tests. Configure the pipeline to stop the deployment if a test fails.

Configure Git webhooks to initiate an AWS Lambda function during each code merge. Configure the Lambda function to run tests programmatically and to stop the pipeline if a test fails.

Configure AWS Batch to use Docker images of test environments. Integrate AWS Batch into the pipeline. Add an AWS Lambda function to the pipeline that submits the batch jobs and reverts the code merge if a test fails.

Configure the Git repository to push code to an Amazon S3 bucket during each code merge. Use S3 Event Notifications to initiate tests and to revert the code merge if a test fails.

Questions # 55:

A company uses AWS Control Tower to deploy multiple AWS accounts. A security team must automate Control Tower guardrails applied to all accounts in an OU, with version control and rollback capabilities.

Which solution meets these requirements?

Options:

Create CloudFormation templates per guardrail stored in CodeCommit. Use AWS::ControlTower::EnableControl resources. Automate via CodeBuild.

Same as A but for each account.

Store CloudFormation templates per guardrail in a Git repo. Use CodePipeline in the security account with EventBridge triggering deployments.

Store templates in S3 and trigger deployment with EventBridge PutObject.

Questions # 56:

A company ' s DevOps engineer uses AWS Systems Manager to perform maintenance tasks during maintenance windows. The company has a few Amazon EC2 instances that require a restart after notifications from AWS Health. The DevOps engineer needs to implement an automated solution to remediate these notifications. The DevOps engineer creates an Amazon EventBridge rule.

How should the DevOps engineer configure the EventBridge rule to meet these requirements?

Options:

Configure an event source of AWS Health, a service of EC2. and an event type that indicates instance maintenance. Target a Systems Manager document to restart the EC2 instance.

Configure an event source of Systems Manager and an event type that indicates a maintenance window. Target a Systems Manager document to restart the EC2 instance.

Configure an event source of AWS Health, a service of EC2, and an event type that indicates instance maintenance. Target a newly created AWS Lambda function that registers an automation task to restart the EC2 instance during a maintenance window.

Configure an event source of EC2 and an event type that indicates instance maintenance. Target a newly created AWS Lambda function that registers an automation task to restart the EC2 instance during a maintenance window.

Questions # 57:

A company deploys its corporate infrastructure on AWS across multiple AWS Regions and Availability Zones. The infrastructure is deployed on Amazon EC2 instances and connects with AWS loT Greengrass devices. The company deploys additional resources on on-premises servers that are located in the corporate headquarters.

The company wants to reduce the overhead involved in maintaining and updating its resources. The company ' s DevOps team plans to use AWS Systems Manager to implement automated management and application of patches. The DevOps team confirms that Systems Manager is available in the Regions that the resources are deployed m Systems Manager also is available in a Region near the corporate headquarters.

Which combination of steps must the DevOps team take to implement automated patch and configuration management across the company ' s EC2 instances loT devices and on-premises infrastructure? (Select THREE.)

Options:

Apply tags lo all the EC2 instances. AWS loT Greengrass devices, and on-premises servers. Use Systems Manager Session Manager to push patches to all the tagged devices.

Use Systems Manager Run Command to schedule patching for the EC2 instances AWS loT Greengrass devices and on-premises servers.

Use Systems Manager Patch Manager to schedule patching loT the EC2 instances AWS loT Greengrass devices and on-premises servers as a Systems Manager maintenance window task.

Configure Amazon EventBridge to monitor Systems Manager Patch Manager for updates to patch baselines. Associate Systems Manager Run Command with the event lo initiate a patch action for all EC2 instances AWS loT Greengrass devices and on-premises servers.

Create an IAM instance profile for Systems Manager Attach the instance profile to all the EC2 instances in the AWS account. For the AWS loT Greengrass devices and on-premises servers create an IAM service role for Systems Manager.

Generate a managed-instance activation Use the Activation Code and Activation ID to install Systems Manager Agent (SSM Agent) on each server in the on-premises environment Update the AWS loT Greengrass IAM token exchange role Use the role to deploy SSM Agent on all the loT devices.

Questions # 58:

A company has configured an Amazon S3 event source on an AWS Lambda function The company needs the Lambda function to run when a new object is created or an existing object IS modified In a particular S3 bucket The Lambda function will use the S3 bucket name and the S3 object key of the incoming event to read the contents of the created or modified S3 object The Lambda function will parse the contents and save the parsed contents to an Amazon DynamoDB table.

The Lambda function ' s execution role has permissions to read from the S3 bucket and to write to the DynamoDB table, During testing, a DevOps engineer discovers that the Lambda

function does not run when objects are added to the S3 bucket or when existing objects are modified.

Which solution will resolve this problem?

Options:

Increase the memory of the Lambda function to give the function the ability to process large files from the S3 bucket.

Create a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket

Configure an Amazon Simple Queue Service (Amazon SQS) queue as an OnFailure destination for the Lambda function

Provision space in the /tmp folder of the Lambda function to give the function the ability to process large files from the S3 bucket

Answer

Explanation

Option A is incorrect because increasing the memory of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source. Increasing the memory of the Lambda function might improve its performance or reduce its execution time, but it does not affect its invocation. Moreover, increasing the memory of the Lambda function might incur higher costs, as Lambda charges based on the amount of memory allocated to the function.

Option B is correct because creating a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket is a necessary step to configure an S3 event source. A resource policy is a JSON document that defines who can access a Lambda resource and under what conditions. By granting Amazon S3 permission to invoke the Lambda function, the company ensures that the Lambda function runs when a new object is created or an existing object is modified in the S3 bucket1.

Option C is incorrect because configuring an Amazon Simple Queue Service (Amazon SQS) queue as an On-Failure destination for the Lambda function does not help with triggering the Lambda function. An On-Failure destination is a feature that allows Lambda to send events to another service, such as SQS or Amazon Simple Notification Service (Amazon SNS), when a function invocation fails. However, this feature only applies to asynchronous invocations, and S3 event sources use synchronous invocations. Therefore, configuring an SQS queue as an On-Failure destination would have no effect on the problem.

Option D is incorrect because provisioning space in the /tmp folder of the Lambda function does not address the root cause of the problem, which is that the Lambda function is not triggered by the S3 event source. Provisioning space in the /tmp folder of the Lambda function might help with processing large files from the S3 bucket, as it provides temporary storage for up to 512 MB of data. However, it does not affect the invocation of the Lambda function.

[References:, Using AWS Lambda with Amazon S3, Lambda resource access permissions, AWS Lambda destinations, [AWS Lambda file system], , , ]

Questions # 59:

A company uses AWS Organizations with CloudTrail trusted access. All events across accounts and Regions must be logged and retained in an audit account, and failed login attempts should trigger real-time notifications.

Which solution meets these requirements?

Options:

Publish CloudTrail logs to S3 in the audit account. Create an EventBridge rule for failed login events and notify via SNS.

Store logs in the management account and query using Athena + Lambda every 5 minutes.

Store logs in audit S3 + CloudWatch log group in management account + metric filter for failed logins → SNS.

Stream to Kinesis → Flink → SNS.

Questions # 60:

An Amazon EC2 instance is running in a 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 tor this error? (Select TWO,)