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DOP-C01: AWS Certified DevOps Engineer - Professional Dumps

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Question No: 41

MultipleChoice

A DevOps Engineer is leading the implementation for automating patching of Windows-based workstations in a hybrid cloud environment by using AWS Systems Manager (SSM). What steps should the Engineer follow to set up Systems Manager to automate patching in this environment? (Select TWO.)

Options

ACreate multiple IAM service roles for Systems Manager so that the ssm.amazonaws.com service can execute the AssumeRole operation on every instance. Register the role on a per-resource level to enable the creation of a service token. Perform managed-instance activation with the newly created service role attached to each managed instance.

BCreate an IAM service role for Systems Manager so that the ssm.amazonaws.com service can execute the AssumeRole operation. Register the role to enable the creation of a service token. Perform managed-instance activation with the newly created service role.

CUsing previously obtained activation codes and activation IDs, download and install the SSM Agent on the hybrid servers, and register the servers or virtual machines on the Systems Manager service. Hybrid instances will show with an 'mi-' prefix in the SSM console.

DUsing previously obtained activation codes and activation IDs, download and install the SSM Agent on the hybrid servers, and register the servers or virtual machines on the Systems Manager service. Hybrid instances will show with an 'i-' prefix in the SSM console as if they were provisioned as a regular Amazon EC2 instance.

ERun AWS Config to create a list of instances that are unpatched and not compliant. Create an instance scheduler job, and through an AWS Lambda function, perform the instance patching to bring them up to compliance.

Answer
B, CExplanation

https://docs.aws.amazon.com/systems-manager/latest/userguide/sysman-managed-instance-activation.html

https://docs.aws.amazon.com/systems-manager/latest/userguide/sysman-install-managed-win.html

Question No: 42

MultipleChoice

A DevOps Engineer is designing a deployment strategy for a web application. The application will use an Auto Scaling group to launch Amazon EC2 instances using an AMI. The same infrastructure will be deployed in multiple environments (development, test, and quality assurance). The deployment strategy should meet the following requirements: " Minimize the startup time for the instance " Allow the same AMI to work in multiple environments " Store secrets for multiple environments securely How should this be accomplished?

Options

APreconfigure the AMI using an AWS Lambda function that launches an Amazon EC2 instance, and then runs a script to install the software and create the AMI. Configure an Auto Scaling lifecycle hook to determine which environment the instance is launched in, and, based on that finding, run a configuration script. Save the secrets on an .ini file and store them in Amazon S3. Retrieve the secrets using a configuration script in EC2 user data.

BPreconfigure the AMI by installing all the software using AWS Systems Manager automation and configure Auto Scaling to tag the instances at launch with their specific environment. Then use a bootstrap script in user data to read the tags and configure settings for the environment. Use the AWS Systems Manager Parameter Store to store the secrets using AWS KMS.

CUse a standard AMI from the AWS Marketplace. Configure Auto Scaling to detect the current environment. Install the software using a script in Amazon EC2 user data. Use AWS Secrets Manager to store the credentials for all environments.

DPreconfigure the AMI by installing all the software and configuration for all environments. Configure Auto Scaling to tag the instances at launch with their environment. Use the Amazon EC2 user data to trigger an AWS Lambda function that reads the instance ID and then reconfigures the setting for the proper environment. Use the AWS Systems Manager Parameter Store to store the secrets using AWS KMS.

Answer
A

Question No: 43

MultipleChoice

The Development team at an online retailer has moved to Business support and want to take advantage of the AWS Health Dashboard and the AWS Health API to automate remediation actions for issues with the health of AWS resources. The first use case is to respond to AWS detecting an IAM access key that is listed on a public code repository site. The automated response will be to delete the IAM access key and send a notification to the Security team. How should this be achieved?

Options

ACreate an AWS Lambda function to delete the IAM access key. Send AWS CloudTrail logs to AWS CloudWatch logs. Create a CloudWatch Logs metric filter for the AWS_RISK_CREDENTIALS_EXPOSED event with two actions: first, run the Lambda function; second, use Amazon SNS to send a notification to the Security team.

BCreate an AWS Lambda function to delete the IAM access key. Create an AWS Config rule for changes to aws.health and the AWS_RISK_CREDENTIALS_EXPOSED event with two actions: first, run the Lambda function; second, use Amazon SNS to send a notification to the Security team.

CUse AWS Step Functions to create a function to delete the IAM access key, and then use Amazon SNS to send a notification to the Security team. Create an AWS Personal Health Dashboard rule for the AWS_RISK_CREDENTIALS_EXPOSED event; set the target of the Personal Health Dashboard rule to Step Functions.

DUse AWS Step Functions to create a function to delete the IAM access key, and then use Amazon SNS to send a notification to the Security team. Create an Amazon CloudWatch Events rule with an aws.health event source and the AWS_RISK_CREDENTIALS_EXPOSED event, set the target of the CloudWatch Events rule to Step Functions.

Answer
C

Question No: 44

MultipleChoice

A company is migrating an application to AWS that runs on a single Amazon EC2 instance. Because of licensing limitations, the application does not support horizontal scaling. The application will be using Amazon Aurora for its database. How can the DevOps Engineer architect automated healing to automatically recover from EC2 and Aurora failures, in addition to recovering across Availability Zones (AZs), in the MOST cost-effective manner?

Options

ACreate an EC2 Auto Scaling group with a minimum and maximum instance count of 1, and have it span across AZs. Use a single-node Aurora instance.

BCreate an EC2 instance and enable instance recovery. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance if the primary database instance fails.

CCreate an Amazon CloudWatch Events rule to trigger an AWS Lambda function to start a new EC2 instance in an available AZ when the instance status reaches a failure state. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance when the primary database instance fails.

DAssign an Elastic IP address on the instance. Create a second EC2 instance in a second AZ. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to move the Elastic IP address to the second instance when the first instance fails. Use a single-node Aurora instance.

Answer
C

Question No: 45

MultipleChoice

After presenting a working proof of concept for a new application that uses AWS API Gateway, a Developer must set up a team development environment for the project. Due to a tight timeline, the Developer wants to minimize time spent on infrastructure setup, and would like to reuse the code repository created for the proof of concept. Currently, all source code is stored in AWS CodeCommit. Company policy mandates having alpha, beta, and production stages with separate Jenkins servers to build code and run tests for every stage. The Development Manager must have the ability to block code propagation between admins at any time. The Security team wants to make sure that users will not be able to modify the environment without permission. How can this be accomplished?

Options

ACreate API Gateway alpha, beta, and production stages. Create a CodeCommit trigger to deploy code to the different stages using an AWS Lambda function.

BCreate API Gateway alpha, beta, and production stages. Create an AWS CodePipeline that pulls code from the CodeCommit repository. Create CodePipeline actions to deploy code to the API Gateway stages.

CCreate Jenkins servers for the alpha, beta, and production stages on Amazon EC2 instances. Create multiple CodeCommit triggers to deploy code to different stages using an AWS Lambda function.

DCreate an AWS CodePipeline pipeline that pulls code from the CodeCommit repository. Create alpha, beta, and production stages with Jenkins servers on CodePipeline.

Answer
D

Question No: 46

MultipleChoice

An online company uses Amazon EC2 Auto Scaling extensively to provide an excellent customer experience while minimizing the number of running EC2 instances. The company's self-hosted Puppet environment in the application layer manages the configuration of the instances. The IT manager wants the lowest licensing costs and wants to ensure that whenever the EC2 Auto Scaling group scales down, removed EC2 instances are deregistered from the Puppet master as soon as possible. How can the requirement be met?

Options

AAt instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. Use CodeDeploy to install the Puppet agent. When the Auto Scaling group scales out, run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the EC2 Auto Scaling lifecycle hook to trigger de-registration from the Puppet master. EC2_INSTANCE_TERMINATING

BBake the AWS CodeDeploy agent into the base AMI. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and execute a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the CodeDeploy ApplicationStop lifecycle hook to run a script to de-register the instance from the Puppet master.

CAt instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the EC2 user data instance stop script to run a script to de-register the instance from the Puppet master.

DBake the AWS Systems Manager agent into the base AMI. When the Auto Scaling group scales out, use the AWS Systems Manager to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the Systems Manager instance stop lifecycle hook to run a script to de-register the instance from the Puppet master.

Answer
C

Question No: 47

MultipleChoice

A DevOps Engineer needs to deploy a scalable three-tier Node.js application in AWS. The application must have zero downtime during deployments and be able to roll back to previous versions. Other applications will also connect to the same MySQL backend database. The CIO has provided the following guidance for logging: *Centrally view all current web access server logs. *Search and filter web and application logs in near-real time. *Retain log data for three months. How should these requirements be met?

Options

ADeploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create an Amazon RDS MySQL instance inside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.

BDeploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to store log files in Amazon S3. Use Amazon EMR to search and filter the data. Set an Amazon S3 lifecycle rule to expire objects after 90 days.

CDeploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create the Amazon RDS MySQL instance outside the Elastic Beanstalk stack. Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.

DDeploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to load streaming log data using Amazon Kinesis Data Firehouse into Amazon ES. Delete and create a new Amazon ES domain every 90 days.

Answer
BExplanation

https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-debugging.html

Question No: 48

MultipleChoice

A DevOps Engineer just joined a new company that is already running workloads on Amazon EC2 instances. AWS has been adopted incrementally with no central governance. The Engineer must now assess how well the existing deployments comply with the following requirements: *EC2 instances are running only approved AMIs. *Amazon EBS volumes are encrypted. *EC2 instances have an Owner tag. *Root login over SSH is disabled on EC2 instances. Which services should the Engineer use to perform this assessment with the LEAST amount of effort? (Select TWO.)

Options

AAWS Config

BAmazon GuardDuty

CAWS System Manager

DAWS Directory Service

EAmazon Inspector

Answer
A, EExplanation

https://docs.aws.amazon.com/ja_jp/inspector/latest/userguide/inspector_security-best-practices.html

Question No: 49

MultipleChoice

A healthcare company has a critical application running in AWS. Recently, the company experienced some down time. if it happens again, the company needs to be able to recover its application in another AWS Region. The application uses Elastic Load Balancing and Amazon EC2 instances. The company also maintains a custom AMI that contains its application. This AMI is changed frequently. The workload is required to run in the primary region, unless there is a regional service disruption, in which case traffic should fail over to the new region. Additionally, the cost for the second region needs to be low. The RTO is 2 hours. Which solution allows the company to fail over to another region in the event of a failure, and also meet the above requirements?

Options

AMaintain a copy of the AMI from the main region in the backup region. Create an Auto Scaling group with one instance using a launch configuration that contains the copied AMI. Use an Amazon Route 53 record to direct traffic to the load balancer in the backup region in the event of failure, as required. Allow the Auto Scaling group to scale out as needed during a failure.

BAutomate the copying of the AMI in the main region to the backup region. Generate an AWS Lambda function that will create an EC2 instance from the AMI and place it behind a load balancer. Using the same Lambda function, point the Amazon Route 53 record to the load balancer in the backup region. Trigger the Lambda function in the event of a failure.

CPlace the AMI in a replicated Amazon S3 bucket. Generate an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Have one instance in this Auto Scaling group ready to accept traffic. Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.

DAutomate the copying of the AMI to the backup region. Create an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Set the Auto Scaling group maximum size to 0 and only increase it with the Lambda function during a failure. Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.

Answer
C

Question No: 50

MultipleChoice

A government agency has multiple AWS accounts, many of which store sensitive citizen information. A Security team wants to detect anomalous account and network activities (such as SSH brute force attacks) in any account and centralize that information in a dedicated security account. Event information should be stored in an Amazon S3 bucket in the security account, which is monitored by the department's Security Information and Even Manager (SIEM) system. How can this be accomplished?

Options

AEnable Amazon Macie in every account. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which should push the findings to the S3 bucket.

BEnable Amazon Macie in the security account only. Configure the security account as the Macie Administrator for every member account using invitation/ acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from the Kinesis Data Streams and write to the S3 bucket.

CEnable Amazon GuardDuty in every account. Configure the security account as the GuardDuty Administrator for every member account using invitation/ acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which will push the findings to the S3 bucket.

DEnable Amazon GuardDuty in the security account only. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from Kinesis Data Streams and write to the S3 bucket.

Answer
CExplanation

https://aws.amazon.com/blogs/security/how-to-manage-amazon-guardduty-security-findings-across-multiple-accounts/

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