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| Section | Weight | Objectives |
|---|---|---|
| Configuration Management and Infrastructure as Code | 22% | - Implement compliance and configuration monitoring
|
| Policies and Standards Automation | 10% | - Design and implement governance strategies
|
| High Availability and Disaster Recovery | 16% | - Design and implement high availability and scalability
|
| SDLC Automation | 22% | - Design and implement source code management strategies
|
| Incident and Event Response | 18% | - Design and implement chaos engineering practices
|
| Monitoring and Logging | 12% | - Design and implement alerting and incident management
|
>> Latest Study DOP-C02 Questions <<
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NEW QUESTION # 301
A company uses Amazon EC2 as its primary compute platform. A DevOps team wants to audit the company ' s EC2 instances to check whether any prohibited applications have been installed on the EC2 instances.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: C
Explanation:
Configure AWS Systems Manager on Each Instance:
AWS Systems Manager provides a unified interface for managing AWS resources. Install the Systems Manager agent on each EC2 instance to enable inventory management and other features.
Use AWS Systems Manager Inventory:
Systems Manager Inventory collects metadata about your instances and the software installed on them. This data includes information about applications, network configurations, and more.
Enable Systems Manager Inventory on all EC2 instances to gather detailed information about installed applications.
Use Systems Manager Resource Data Sync to Synchronize and Store Findings in an Amazon S3 Bucket:
Resource Data Sync aggregates inventory data from multiple accounts and regions into a single S3 bucket, making it easier to query and analyze the data.
Configure Resource Data Sync to automatically transfer inventory data to an S3 bucket for centralized storage.
Create an AWS Lambda Function that Runs When New Objects are Added to the S3 Bucket:
Use an S3 event to trigger a Lambda function whenever new inventory data is added to the S3 bucket.
The Lambda function can parse the inventory data and check for the presence of prohibited applications.
Configure the Lambda Function to Identify Prohibited Applications:
The Lambda function should be programmed to scan the inventory data for any known prohibited applications and generate alerts or take appropriate actions if such applications are found.
Example Lambda function in Python
import json
import boto3
def lambda_handler(event, context):
s3 = boto3.client( ' s3 ' )
bucket = event[ ' Records ' ][0] [ ' s3 ' ][ ' bucket ' ][ ' name ' ]
key = event[ ' Records ' ][0] [ ' s3 ' ][ ' object ' ][ ' key ' ]
response = s3.get_object(Bucket=bucket, Key=key)
inventory_data = json.loads(response[ ' Body ' ].read().decode( ' utf-8 ' )) prohibited_apps = [ ' app1 ' , ' app2 ' ] for instance in inventory_data[ ' Instances ' ]:
for app in instance[ ' Applications ' ]:
if app[ ' Name ' ] in prohibited_apps:
# Send notification or take action
print(f " Prohibited application found: {app[ ' Name ' ]} on instance {instance[ ' InstanceId ' ]} " ) return { ' statusCode ' : 200, ' body ' : json.dumps( ' Check completed ' )} By leveraging AWS Systems Manager Inventory, Resource Data Sync, and Lambda, this solution provides an efficient and automated way to audit EC2 instances for prohibited applications.
References:
AWS Systems Manager Inventory
AWS Systems Manager Resource Data Sync
S3 Event Notifications
AWS Lambda
NEW QUESTION # 302
A DevOps engineer uses AWS Control Tower to deploy multiple AWS accounts to support business, technical, and administrative units in a company. A security team needs the DevOps engineer to automate AWS Control Tower guardrails for the company. The guardrails must be applied to all accounts in an OU of the company's organization in AWS Organizations.
The security team needs a solution that has version control features. The security team must be able to review and roll back versions when necessary. The security team will manage the solution in the security team's OU.
The security team wants to specify the types of guardrails that are allowed. The security team wants to allow only new guardrails that the security team approves.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: D
Explanation:
The security team's requirements emphasize governance, approval control, versioning, and automation with minimal operational overhead. AWS Control Tower natively supports guardrail enablement through the AWS::ControlTower::EnableControl CloudFormation resource, which can target entire organizational units.
Managing these resources as CloudFormation templates stored in a Git repository provides built-in version control, change review, and rollback capabilities through standard Git workflows.
Option C implements a GitOps-style approach. Each guardrail is defined declaratively in CloudFormation, scoped at the OU level, ensuring consistent enforcement across all accounts in that OU. Storing the templates in a CodeConnections-compatible Git repository allows the security team to review, approve, and audit changes through pull requests. By configuring AWS CodePipeline in the security team's account and triggering it automatically via an Amazon EventBridge rule on repository merges, only approved changes are deployed. This ensures that new guardrails are enabled only after explicit approval and that the deployment process is fully automated.
Option A lacks pipeline orchestration and approval workflows. Option B requires manual pipeline invocation and per-account configuration, increasing operational overhead. Option D relies on S3 as the source of truth, which lacks native version control and approval mechanisms compared to Git.
Therefore, Option C provides the most operationally efficient, secure, and auditable solution aligned with AWS Control Tower automation best practices.
NEW QUESTION # 303
A company has chosen AWS to host a new application. The company needs to implement a multi-account strategy. A DevOps engineer creates a new AWS account and an organization in AWS Organizations. The DevOps engineer also creates the OU structure for the organization and sets up a landing zone by using AWS Control Tower.
The DevOps engineer must implement a solution that automatically deploys resources for new accounts that users create through AWS Control Tower Account Factory. When a user creates a new account, the solution must apply AWS CloudFormation templates and SCPs that are customized for the OU or the account to automatically deploy all the resources that are attached to the account. All the OUs are enrolled in AWS Control Tower.
Which solution will meet these requirements in the MOST automated way?
Answer: C
Explanation:
Explanation
The CfCT solution is designed for the exact purpose stated in the question. It extends the capabilities of AWS Control Tower by providing you with a way to automate resource provisioning and apply custom configurations across all AWS accounts created in the Control Tower environment. This enables the company to implement additional account customizations when new accounts are provisioned via the Control Tower Account Factory. The CloudFormation templates and SCPs can be added to a CodeCommit repository and will be automatically deployed to new accounts when they are created. This provides a highly automated solution that does not require manual intervention to deploy resources and SCPs to new accounts.
NEW QUESTION # 304
A company uses AWS Organizations to manage its AWS accounts. A DevOps engineer must ensure that all users who access the AWS Management Console are authenticated through the company's corporate identity provider (IdP).
Which combination of steps will meet these requirements? (Select TWO.)
Answer: B,C
Explanation:
Step 1: Using AWS IAM Identity Center for SAML-based Identity Federation To ensure that all users accessing the AWS Management Console are authenticated via the corporate identity provider (IdP), the best approach is to set up identity federation with AWS IAM Identity Center (formerly AWS SSO) using SAML 2.0.
Action: Use AWS IAM Identity Center to configure identity federation with the corporate IdP that supports SAML 2.0.
Why: SAML 2.0 integration enables single sign-on (SSO) for users, allowing them to authenticate through the corporate IdP and gain access to AWS resources.
Reference: AWS documentation on IAM Identity Center and SAML Federation.
This corresponds to Option B: Use AWS IAM Identity Center to configure identity federation with SAML 2.0.
Step 2: Creating an SCP to Deny Password Logins for IAM UsersTo enforce that IAM users do not create passwords or access the Management Console directly without going through the corporate IdP, you can create a Service Control Policy (SCP) in AWS Organizations that denies password creation for IAM users.
Action: Create an SCP that denies password creation for IAM users.
Why: This ensures that users cannot set passwords for their IAM user accounts, forcing them to use federated access through the corporate IdP for console login.
Reference: AWS documentation on Service Control Policies.
This corresponds to Option E: Create an SCP in Organizations to deny password creation for IAM users.
NEW QUESTION # 305
A company sells products through an ecommerce web application The company wants a dashboard that shows a pie chart of product transaction details. The company wants to integrate the dashboard With the company's existing Amazon CloudWatch dashboards Which solution Will meet these requirements With the MOST operational efficiency?
Answer: A
Explanation:
The correct answer is A.
Option A is correct because it meets the requirements with the most operational efficiency. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard. Using CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format is also a convenient and integrated solution that leverages the existing CloudWatch dashboards. Attaching the results to the desired CloudWatch dashboard is straightforward and does not require any additional steps or services.
Option B is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction is a valid way to store the data, but it requires creating and managing an S3 bucket and its permissions. Using Amazon Athena to query the S3 bucket and to visualize the results in a pie chart format is also a valid way to analyze the data, but it incurs charges based on the amount of data scanned by each query. Exporting the results from Athena and attaching them to the desired CloudWatch dashboard is also an extra step that adds more overhead and latency.
Option C is incorrect because it uses AWS X-Ray for an inappropriate purpose. Updating the ecommerce application to use AWS X-Ray for instrumentation is a good practice for monitoring and tracing distributed applications, but it is not designed for aggregating product transaction details. Creating a new X-Ray subsegment and adding an annotation for each processed transaction is possible, but it would clutter the X- Ray service map and make it harder to debug performance issues. Using X-Ray traces to query the data and to visualize the results in a pie chart format is also possible, but it would require custom code and logic that are not supported by X-Ray natively. Attaching the results to the desired CloudWatch dashboard is also not supported by X-Ray directly, and would require additional steps or services.
Option D is incorrect because it introduces unnecessary complexity and cost. Updating the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction is a simple and cost-effective way to collect the data needed for the dashboard, as in option A. However, creating an AWS Lambda function to aggregate and write the results to Amazon DynamoDB is redundant, as CloudWatch Logs Insights can already perform aggregation queries on log data. Creating a Lambda subscription filter for the log file is also redundant, as CloudWatch Logs Insights can already access log data directly. Attaching the results to the desired CloudWatch dashboard would also require additional steps or services, as DynamoDB does not support native integration with CloudWatch dashboards.
References:
CloudWatch Logs Insights
Amazon Athena
AWS X-Ray
AWS Lambda
Amazon DynamoDB
NEW QUESTION # 306
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