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Questions # 31:

A DevOps engineer is working on a data archival project that requires the migration of on-premises data to an Amazon S3 bucket. The DevOps engineer develops a script that incrementally archives on-premises data that is older than 1 month to Amazon S3. Data that is transferred to Amazon S3 is deleted from the on-premises location The script uses the S3 PutObject operation.

During a code review the DevOps engineer notices that the script does not verity whether the data was successfully copied to Amazon S3. The DevOps engineer must update the script to ensure that data is not corrupted during transmission. The script must use MD5 checksums to verify data integrity before the on-premises data is deleted.

Which solutions for the script will meet these requirements'? (Select TWO.)

Options:

Check the returned response for the Versioned Compare the returned Versioned against the MD5 checksum.

Include the MD5 checksum within the Content-MD5 parameter. Check the operation call's return status to find out if an error was returned.

Include the checksum digest within the tagging parameter as a URL query parameter.

Check the returned response for the ETag. Compare the returned ETag against the MD5 checksum.

Include the checksum digest within the Metadata parameter as a name-value pair After upload use the S3 HeadObject operation to retrieve metadata from the object.

Expert Solution

Questions # 32:

A DevOps engineer is architecting a continuous development strategy for a company's software as a service (SaaS) web application running on AWS. For application and security reasons users subscribing to this application are distributed across multiple. Application Load Balancers (ALBs) each of which has a dedicated Auto Scaling group and fleet of Amazon EC2 instances The application does not require a build stage and when it is committed to AWS CodeCommit, the application must trigger a simultaneous deployment to all ALBs Auto Scaling groups and EC2 fleets.

Which architecture will meet these requirements with the LEAST amount of configuration?

Options:

Create a single AWS CodePipeline pipeline that deploys the application in parallel using unique AWS CodeDeploy applications and deployment groups created for each ALB-Auto Scaling group pair.

Create a single AWS CodePipeline pipeline that deploys the application using a single AWS CodeDeploy application and single deployment group.

Create a single AWS CodePipeline pipeline that deploys the application in parallel using a single AWS CodeDeploy application and unique deployment group for each ALB-Auto Scaling group pair.

Create an AWS CodePipeline pipeline for each ALB-Auto Scaling group pair that deploys the application using an AWS CodeDeploy application and deployment group created for the same ALB-Auto Scaling group pair.

Expert Solution

Questions # 33:

A company runs applications in AWS accounts that are in an organization in AWS Organizations The applications use Amazon EC2 instances and Amazon S3.

The company wants to detect potentially compromised EC2 instances suspicious network activity and unusual API activity in its existing AWS accounts and in any AWS accounts that the company creates in the future When the company detects one to these events the company wants to use an existing Amazon Simple Notification Service (Amazon SNS) topic to send a notification to its operational support team for investigation and remediation.

Which solution will meet these requirements in accordance with AWS best practices?

Options:

In the organization's management account configure an AWS account as the Amazon GuardDuty administrator account. In the GuardDuty administrator account add the company's existing AWS accounts to GuardDuty as members In the GuardDuty administrator account create an Amazon EventBridge rule with an event pattern to match GuardDuty events and to forward matching events to the SNS topic.

In the organization's management account configure Amazon GuardDuty to add newly created AWS accounts by invitation and to send invitations to the existing AWS accounts Create an AWS Cloud Formation stack set that accepts the GuardDuty invitation and creates an Amazon EventBridge rule Configure the rule with an event pattern to match. GuardDuty events and to forward matching events to the SNS topic. Configure the Cloud Formation stack set t

In the organization's management account. create an AWS CloudTrail organization trail Activate the organization trail in all AWS accounts in the organization. Create an SCP that enables VPC Flow Logs in each account in the organization. Configure AWS Security Hub for the organization Create an Amazon EventBridge rule with an even pattern to match Security Hub events and to forward matching events to the SNS topic.

In the organization's management account configure an AWS account as the AWS CloudTrail administrator account in the CloudTrail administrator account create a CloudTrail organization trail. Add the company's existing AWS accounts to the organization trail Create an SCP that enables VPC Flow Logs in each account in the organization. Configure AWS Security Hub for the organization. Create an Amazon EventBridge rule with an event pattern to ma

Expert Solution

Questions # 34:

A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company has enabled all features for the organization. The member accounts under one OU contain S3 buckets that store sensitive data.

A DevOps engineer wants to ensure that only IAM principals from within the organization can access the S3 buckets in the OU.

Which solution will meet this requirement?

Options:

Create an SCP in the management account of the organization to restrict Amazon S3 actions by using the aws:PrincipalAccount condition. Apply the SCP to the OU.

Create an IAM permissions boundary in the management account of the organization to restrict access to Amazon S3 actions by using the aws:PrincipalOrgID condition.

Configure AWS Resource Access Manager (AWS RAM) to restrict access to S3 buckets in the OU so the S3 buckets cannot be shared outside the organization.

Create a resource control policy (RCP) in the management account of the organization to restrict Amazon S3 actions by using the aws:PrincipalOrgID condition. Apply the RCP to the OU.

Expert Solution

Questions # 35:

A company is refactoring applications to use AWS. The company identifies an internal web application that needs to make Amazon S3 API calls in a specific AWS account.

The company wants to use its existing identity provider (IdP) auth.company.com for authentication. The IdP supports only OpenID Connect (OIDC). A DevOps engineer needs to secure the web application's access to the AWS account.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Configure AWS 1AM Identity Center. Configure an IdP. Upload the IdP metadata from the existing IdP.

Create an 1AM IdP by using the provider URL, audience, and signature from the existing IdP.

Create an 1AM role that has a policy that allows the necessary S3 actions. Configure the role's trust policy to allow the OIDC IdP to assume the role if the sts.amazon.conraud context key is appid from idp.

Create an 1AM role that has a policy that allows the necessary S3 actions. Configure the role's trust policy to allow the OIDC IdP to assume the role if the auth.company.com:aud context key is appid_from_idp.

Configure the web application lo use the AssumeRoleWith Web Identity API operation to retrieve temporary credentials. Use the temporary credentials to make the S3 API calls.

Configure the web application to use the GetFederationToken API operation to retrieve temporary credentials Use the temporary credentials to make the S3 API calls.

Expert Solution

Answer

B, D, E

Explanation

Step 1: Creating an Identity Provider in IAMYou first need to configure AWS to trust the external identity provider (IdP), which in this case supports OpenID Connect (OIDC). The IdP will handle the authentication, and AWS will handle the authorization based on the IdP's token.

Action: Create an IAM Identity Provider (IdP) in AWS using the existing provider's URL, audience, and signature. This step is essential for establishing trust between AWS and the external IdP.

Why: This allows AWS to accept tokens from your external IdP (auth.company.com) for authentication.

[Reference: AWS documentation on IAM Identity Providers., So, this corresponds to Option B: Create an IAM IdP by using the provider URL, audience, and signature from the existing IdP., Step 2: Creating an IAM Role with Specific PermissionsNext, you need to create an IAM role with a trust policy that allows the external IdP to assume it when certain conditions are met. Specifically, the trust policy needs to allow the role to be assumed based on the context key auth.company.com:aud (audience claim in the token)., Action: Create an IAM role that has the necessary permissions (e.g., Amazon S3 access). The role's trust policy should specify the OIDC IdP as the trusted entity and validate the audience claim (auth.company.com:aud), which comes from the token provided by the IdP., Why: This step ensures that only the specified web application authenticated via OIDC can assume the IAM role to make API calls., Reference: AWS documentation on OIDC and Role Assumption., This corresponds to Option D: Create an IAM role that has a policy that allows the necessary S3 actions. Configure the role's trust policy to allow the OIDC IdP to assume the role if the auth.company.com:aud context key is appid_from_idp., Step 3: Using Temporary Credentials via AssumeRoleWithWebIdentity APITo securely make Amazon S3 API calls, the web application will need temporary credentials. The web application can use the AssumeRoleWithWebIdentity API call to assume the IAM role configured in the previous step and obtain temporary AWS credentials. These credentials can then be used to interact with Amazon S3., Action: The web application must be configured to call the AssumeRoleWithWebIdentity API operation, passing the OIDC token from the IdP to obtain temporary credentials., Why: This allows the web application to authenticate via the external IdP and then authorize access to AWS resources securely using short-lived credentials., Reference: AWS documentation on AssumeRoleWithWebIdentity., This corresponds to Option E: Configure the web application to use the AssumeRoleWithWebIdentity API operation to retrieve temporary credentials. Use the temporary credentials to make the S3 API calls., Summary of Selected Answers:, B: Create an IAM IdP by using the provider URL, audience, and signature from the existing IdP., D: Create an IAM role that has a policy that allows the necessary S3 actions. Configure the role’s trust policy to allow the OIDC IdP to assume the role if the auth.company.com:aud context key is appid_from_idp., E: Configure the web application to use the AssumeRoleWithWebIdentity API operation to retrieve temporary credentials. Use the temporary credentials to make the S3 API calls., This setup enables the web application to use OpenID Connect (OIDC) for authentication and securely interact with Amazon S3 in a specific AWS account using short-lived credentials obtained through AWS Security Token Service (STS)., , ]

Questions # 36:

A company deploys an application on on-premises devices in the company's on-premises data center. The company uses an AWS Direct Connect connection between the data center and the company's AWS account. During initial setup of the on-premises devices and during application updates, the application needs to retrieve configuration files from an Amazon Elastic File System (Amazon EFS) file system. All traffic from the on-premises devices to Amazon EFS must remain private and encrypted. The on-premises devices must follow the principle of least privilege for AWS access. The company's DevOps team needs the ability to revoke access from a single device without affecting the access of the other devices. Which combination of steps will meet these requirements? (Select TWO.)

Options:

Create an IAM user that has an access key and a secret key for each device. Attach the AmazonElasticFileSystemFullAccess policy to all IAM users. Configure the AWS CLI on the on-premises devices to use the IAM user's access key and secret key.

Generate certificates for each on-premises device in AWS Private Certificate Authority. Create a trust anchor in IAM Roles Anywhere that references an AWS Private CA. Create an IAM role that trusts IAM Roles Anywhere. Attach the AmazonElasticFileSystemClientReadWriteAccess to the role. Create an IAM Roles Anywhere profile for the IAM role. Configure the AWS CLI on the on-premises devices to use the aws_signing_helper command to obtain crede

Create an IAM user that has an access key and a secret key for all devices. Attach the AmazonElasticFileSystemClientReadWriteAccess policy to the IAM user. Configure the AWS CLI on the on-premises devices to use the IAM user's access key and secret key.

Use the amazon-efs-utils package to mount the EFS file system.

Use the native Linux NFS client to mount the EFS file system.

Expert Solution

Questions # 37:

A company uses an AWS CodeArtifact repository to store Python packages that the company developed internally. A DevOps engineer needs to use AWS CodeDeploy to deploy an application to an Amazon EC2 instance. The application uses a Python package that is stored in the CodeArtifact repository. A BeforeInstall lifecycle event hook will install the package.

The DevOps engineer needs to grant the EC2 instance access to the CodeArtifact repository.

Which solution will meet this requirement?

Options:

Create a service-linked role for CodeArtifact. Associate the role with the EC2 instance. Use the aws codeartifact get-authorization-token CLI command on the instance.

Configure a resource-based policy for the CodeArtifact repository that allows the Read-FromRepository action for the EC2 instance principal.

Configure ACLs on the CodeArtifact repository to allow the EC2 instance to access the Python package.

Create an instance profile that contains an IAM role that has access to CodeArtifact. Associate the instance profile with the EC2 instance. Use the aws codeartifact login CLI command on the instance.

Expert Solution

Questions # 38:

An online retail company based in the United States plans to expand its operations to Europe and Asia in the next six months. Its product currently runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. All data is stored in an Amazon Aurora database instance.

When the product is deployed in multiple regions, the company wants a single product catalog across all regions, but for compliance purposes, its customer information and purchases must be kept in each region.

How should the company meet these requirements with the LEAST amount of application changes?

Options:

Use Amazon Redshift for the product catalog and Amazon DynamoDB tables for the customer information and purchases.

Use Amazon DynamoDB global tables for the product catalog and regional tables for the customer information and purchases.

Use Aurora with read replicas for the product catalog and additional local Aurora instances in each region for the customer information and purchases.

Use Aurora for the product catalog and Amazon DynamoDB global tables for the customer information and purchases.

Expert Solution

Questions # 39:

A company has an application that runs on Amazon EC2 instances that are in an Auto Scaling group. When the application starts up. the application needs to process data from an Amazon S3 bucket before the application can start to serve requests.

The size of the data that is stored in the S3 bucket is growing. When the Auto Scaling group adds new instances, the application now takes several minutes to download and process the data before the application can serve requests. The company must reduce the time that elapses before new EC2 instances are ready to serve requests.

Which solution is the MOST cost-effective way to reduce the application startup time?

Options:

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Stopped state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Running state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

Expert Solution

Questions # 40:

A company is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache Webserver. The development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production.

The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.

How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?

Options:

Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the AfterInstall lifecycle hook in the appspec.yml file.

Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ NAME to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file.

Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.

Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.

Expert Solution

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