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Amazon DOP-C02 Exam measures a candidate's ability to design and manage highly available and scalable systems on AWS. It covers a wide range of topics, including continuous integration and delivery (CI/CD) pipelines, monitoring and logging, security and compliance, infrastructure as code (IaC), and automation tools.
Amazon DOP-C02 certification is a valuable credential for IT professionals who want to validate their expertise in DevOps and AWS. AWS Certified DevOps Engineer - Professional certification exam tests the candidate's knowledge and skills in various areas related to DevOps, and passing the exam demonstrates the candidate's ability to design, deploy, and manage AWS services using DevOps methodologies. Candidates can prepare for the exam by leveraging their experience with AWS services and DevOps practices and taking advantage of various resources provided by AWS.
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Amazon DOP-C02 Certification Exam covers a range of topics, including configuration management, monitoring and logging, continuous integration and delivery, security and compliance, and infrastructure as code. Candidates for this certification will be tested on their ability to design, manage, and maintain AWS services and systems using DevOps principles and practices.
NEW QUESTION # 277
A company is optimizing its AWS costs. Most of the company's AWS spend is for Amazon EC2. When the company analyzes its EC2 usage metrics in Amazon CloudWatch, the company observes that most of its EC2 instances are in an idle state.
The company considers an instance idle if it has a maximum CPU utilization of less than 2% in the previous
24 hours. The company evaluates metrics for instances based on 1-hour intervals. The company decides to configure a CloudWatch alarm for each EC2 instance in the account. The company wants the alarm to activate when an instance is idle.
How should the company configure the CloudWatch alarm?
Answer: C
Explanation:
The condition is deterministic: maximum CPU utilization must be below 2% for the previous 24 one-hour periods. That requires a static threshold, not anomaly detection. Anomaly detection learns a normal band from historical behavior, which is useful for unusual patterns but not for a fixed business definition of "idle." CloudWatch alarms use "Datapoints to Alarm" as an M-out-of-N evaluation model, so 24 out of 24 means all
24 hourly datapoints must breach the threshold. AWS also documents idle-instance alarm examples based on CPU utilization staying below a threshold for 24 consecutive periods. Option D would alarm if only one hour was below 2%, which is far too sensitive. Options A and C use the wrong threshold type.
NEW QUESTION # 278
A company's DevOps team manages a set of AWS accounts that are in an organization in AWS Organizations The company needs a solution that ensures that all Amazon EC2 instances use approved AMIs that the DevOps team manages. The solution also must remediate the usage of AMIs that are not approved The individual account administrators must not be able to remove the restriction to use approved AMIs.
Which solution will meet these requirements?
Answer: C
Explanation:
Enable AWS Config Across the Organization:
AWS Config provides a detailed view of the configuration of AWS resources in your AWS account. It can be used to assess, audit, and evaluate the configurations of your resources.
Enabling AWS Config across the organization ensures that all accounts are monitored for compliance.
Create a Conformance Pack Using the approved-amis-by-id AWS Config Managed Rule:
A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed across an organization.
The approved-amis-by-id managed rule checks whether running instances are using approved AMIs.
Deploy the Conformance Pack Across the Organization:
Deploying the conformance pack across the organization ensures that all accounts adhere to the policy of using only approved AMIs.
The conformance pack can be deployed via the AWS Management Console, CLI, or SDKs.
Configure the Rule to Run the AWS-StopEC2Instance AWS Systems Manager Automation Runbook for Non-Compliant EC2 Instances:
The AWS-StopEC2Instance runbook can be configured to automatically stop any EC2 instances that are found to be non-compliant (i.e., not using approved AMIs).
This remediation action ensures that any unauthorized instances are promptly stopped, enforcing the policy without manual intervention.
By following these steps, the solution ensures that all EC2 instances across the organization use approved AMIs, and any non-compliant instances are remediated automatically.
References:
AWS Config Conformance Packs
AWS Config Managed Rules
AWS Systems Manager Automation Runbooks
NEW QUESTION # 279
A company's application teams use AWS CodeCommit repositories for their applications. The application teams have repositories in multiple AWS accounts. All accounts are in an organization in AWS Organizations.
Each application team uses AWS IAM Identity Center (AWS Single Sign-On) configured with an external IdP to assume a developer IAM role. The developer role allows the application teams to use Git to work with the code in the repositories.
A security audit reveals that the application teams can modify the main branch in any repository. A DevOps engineer must implement a solution that allows the application teams to modify the main branch of only the repositories that they manage.
Which combination of steps will meet these requirements? (Select THREE.)
Answer: A,B,E
Explanation:
Short To meet the requirements, the DevOps engineer should update the SAML assertion to pass the user's team name, update the IAM role's trust policy to add an access-team session tag that has the team name, create an IAM permissions boundary in each account, and for each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.
:
Updating the SAML assertion to pass the user's team name allows the DevOps engineer to use IAM tags to identify which team a user belongs to. This can help enforce fine-grained access control based on the user's team membership1.
Updating the IAM role's trust policy to add an access-team session tag that has the team name allows the DevOps engineer to use IAM condition keys to restrict access based on the session tag value2. For example, the DevOps engineer can use the aws:PrincipalTag condition key to match the access-team tag of the user with the access-team tag of the repository3.
Creating an IAM permissions boundary in each account allows the DevOps engineer to set the maximum permissions that an identity-based policy can grant to an IAM entity. An entity's permissions boundary allows it to perform only the actions that are allowed by both its identity-based policies and its permissions boundaries4. For example, the DevOps engineer can use a permissions boundary policy to limit the actions that a user can perform on CodeCommit repositories based on their access-team tag5.
For each CodeCommit repository, adding an access-team tag that has the value set to the name of the associated team allows the DevOps engineer to use resource tags to identify which team manages a repository. This can help enforce fine-grained access control based on the resource tag value6.
The other options are incorrect because:
Creating an approval rule template for each team in the Organizations management account is not a valid option, as approval rule templates are not supported by AWS Organizations. Approval rule templates are specific to CodeCommit and can only be associated with one or more repositories in the same AWS Region where they are created7.
Creating an approval rule template for each account is not a valid option, as approval rule templates are not designed to restrict access to modify branches. Approval rule templates are designed to require approvals from specified users or groups before merging pull requests8.
Attaching an SCP to the accounts is not a valid option, as SCPs are not designed to restrict access based on tags. SCPs are designed to restrict access based on service actions and resources across all users and roles in an organization's account9.
NEW QUESTION # 280
A video-sharing company stores its videos in Amazon S3. The company has observed a sudden increase in video access requests, but the company does not know which videos are most popular. The company needs to identify the general access pattern for the video files. This pattern includes the number of users who access a certain file on a given day, as well as the number of pull requests for certain files.
How can the company meet these requirements with the LEAST amount of effort?
Answer: C
NEW QUESTION # 281
A DevOps engineer must implement a solution that immediately terminates Amazon EC2 instances in Auto Scaling groups when cryptocurrency mining activity is detected.
Which solution will meet these requirements with the LEAST development effort?
Answer: D
Explanation:
The requirement is to immediately detect and terminate EC2 instances involved in cryptocurrency mining with the least development effort. Amazon GuardDuty is the AWS-native service specifically designed to detect malicious activities such as crypto-mining by continuously analyzing CloudTrail events, VPC Flow Logs, and DNS logs. GuardDuty includes managed threat intelligence and predefined findings like CryptoCurrency:EC2/BitcoinTool.B!DNS and CryptoCurrency:EC2/BitcoinTool.B!IP, which directly identify mining behavior without custom detection logic.
Option C leverages this built-in capability. Once GuardDuty is enabled, findings are automatically generated when mining activity is detected. These findings are sent to Amazon EventBridge in near real time. An EventBridge rule can filter for cryptocurrency-related findings and trigger an AWS Lambda function. The Lambda function can then identify the affected EC2 instance and terminate it or adjust the Auto Scaling group to replace it. This approach requires minimal custom code and no log parsing, scheduled jobs, or analytics pipelines.
Options A and B rely on custom log analysis, periodic execution, and maintaining lists of mining domains or IPs, which significantly increases complexity and response time. Option D uses AWS Security Hub, which aggregates findings from GuardDuty and other services but is not intended for immediate, low-latency remediation.
Therefore, Option C provides the fastest detection, immediate response, and lowest development overhead using AWS-managed threat detection services.
NEW QUESTION # 282
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