Free Amazon DOP-C02 Exam Questions, DOP-C02 Test Vce Free
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To become certified, candidates must pass a 180-minute exam that includes multiple-choice, multiple-response, and scenario-based questions. DOP-C02 exam is designed to test the candidate’s knowledge and skills in various areas of DevOps on AWS, including designing and managing continuous delivery systems, deploying and maintaining highly available and scalable systems, and automating and optimizing operational processes. The Amazon DOP-C02 Certification is highly valued by employers and can help professionals advance their careers in the field of DevOps on AWS.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q65-Q70):
NEW QUESTION # 65
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?
- A. Configure AWS Systems Manager on each instance Use AWS Systems Manager Inventory Use Systems Manager resource data sync to synchronize and store findings in an Amazon S3 bucket Create an AWS Lambda function that runs when new objects are added to the S3 bucket. Configure the Lambda function to identify prohibited applications.
- B. Configure AWS Systems Manager on each instance. Use Systems Manager Inventory. Filter a trail in AWS CloudTrail for Systems Manager Inventory events to identify prohibited applications.
- C. Configure AWS Systems Manager on each instance Use Systems Manager Inventory Create AWS Config rules that monitor changes from Systems Manager Inventory to identify prohibited applications.
- D. Designate Amazon CloudWatch Logs as the log destination for all application instances Run an automated script across all instances to create an inventory of installed applications Configure the script to forward the results to CloudWatch Logs Create a CloudWatch alarm that uses filter patterns to search log data to identify prohibited applications.
Answer: A
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.
Reference:
AWS Systems Manager Inventory
AWS Systems Manager Resource Data Sync
S3 Event Notifications
AWS Lambda
NEW QUESTION # 66
A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic.
How should a DevOps engineer meet these requirements?
- A. In both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.
- B. In both regions, launch the application in Auto Scaling groups and use DynamoDB for session data. Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.
- C. In both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use Amazon RDS for PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.
- D. In both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon Route 53 DNS record at the CloudFront distribution.
Answer: D
NEW QUESTION # 67
A security team is concerned that a developer can unintentionally attach an Elastic IP address to an Amazon EC2 instance in production. No developer should be allowed to attach an Elastic IP address to an instance.
The security team must be notified if any production server has an Elastic IP address at any time How can this task be automated'?
- A. Ensure that all 1AM groups associated with developers do not have associate-address permissions.
Create a scheduled AWS Lambda function to check whether an Elastic IP address is associated with any instance tagged as production, and alert the secunty team if an instance has an Elastic IP address associated with it - B. Create an AWS Config rule to check that all production instances have EC2 1AM roles that include deny associate-address permissions Verify whether there is an Elastic IP address associated with any instance, and alert the security team if an instance has an Elastic IP address associated with it.
- C. Use Amazon Athena to query AWS CloudTrail logs to check for any associate-address attempts Create an AWS Lambda function to disassociate the Elastic IP address from the instance, and alert the security team.
- D. Attach an 1AM policy to the developers' 1AM group to deny associate-address permissions Create a custom AWS Config rule to check whether an Elastic IP address is associated with any instance tagged as production, and alert the security team
Answer: D
Explanation:
To prevent developers from unintentionally attaching an Elastic IP address to an Amazon EC2 instance in production, the best approach is to use IAM policies and AWS Config rules. By attaching an IAM policy that denies the associate-address permission to the developers' IAM group, you ensure that developers cannot perform this action. Additionally, creating a custom AWS Config rule to check for Elastic IP addresses associated with instances tagged as production provides ongoing monitoring. If the rule detects an Elastic IP address, it can trigger an alert to notify the securityteam. This method is proactive and enforces the necessary permissions while also providing a mechanism for detection and notification. References: from Amazon DevOps sources
NEW QUESTION # 68
A company has developed a static website hosted on an Amazon S3 bucket. The website is deployed using AWS CloudFormation. The CloudFormation template defines an S3 bucket and a custom resource that copies content into the bucket from a source location.
The company has decided that it needs to move the website to a new location, so the existing CloudFormation stack must be deleted and re-created. However, CloudFormation reports that the stack could not be deleted cleanly.
What is the MOST likely cause and how can the DevOps engineer mitigate this problem for this and future versions of the website?
- A. Deletion has failed because the S3 bucket is not empty. Modify the S3 bucket resource in the CloudFormation template to add a DeletionPolicy property with a value of Empty.
- B. Deletion has failed because the S3 bucket is not empty. Modify the custom resource's AWS Lambda function code to recursively empty the bucket when RequestType is Delete.
- C. Deletion has failed because the custom resource does not define a deletion policy. Add a DeletionPolicy property to the custom resource definition with a value of RemoveOnDeletion.
- D. Deletion has failed because the S3 bucket has an active website configuration. Modify the Cloud Formation template to remove the WebsiteConfiguration properly from the S3 bucket resource.
Answer: B
Explanation:
Step 1: Understanding the Deletion Failure
The most likely reason why the CloudFormation stack failed to delete is that the S3 bucket was not empty. AWS CloudFormation cannot delete an S3 bucket that contains objects, so if the website files are still in the bucket, the deletion will fail.
Issue: The S3 bucket is not empty during deletion, preventing the stack from being deleted.
Step 2: Modifying the Custom Resource to Handle Deletion
To mitigate this issue, you can modify the Lambda function associated with the custom resource to automatically empty the S3 bucket when the stack is being deleted. By adding logic to handle the RequestType: Delete event, the function can recursively delete all objects in the bucket before allowing the stack to be deleted.
Action: Modify the Lambda function to recursively delete the objects in the S3 bucket when RequestType is set to Delete.
Why: This ensures that the S3 bucket is empty before CloudFormation tries to delete it, preventing the stack deletion failure.
Reference:
This corresponds to Option B: Deletion has failed because the S3 bucket is not empty. Modify the custom resource's AWS Lambda function code to recursively empty the bucket when RequestType is Delete.
NEW QUESTION # 69
A company needs to ensure that flow logs remain configured for all existing and new VPCs in its AWS account. The company uses an AWS CloudFormation stack to manage its VPCs. The company needs a solution that will work for any VPCs that any IAM user creates.
Which solution will meet these requirements?
- A. Create an organization in AWS Organizations. Add the company's AWS account to the organization.
Create an SCP to prevent users from modifying VPC flow logs. - B. Turn on AWS Config. Create an AWS Config rule to check whether VPC flow logs are turned on.
Configure automatic remediation to turn on VPC flow logs. - C. Create an IAM policy to deny the use of API calls for VPC flow logs. Attach the IAM policy to all IAM users.
- D. Add the resource to the CloudFormation stack that creates the VPCs.
Answer: B
Explanation:
To meet the requirements of ensuring that flow logs remain configured for all existing and new VPCs in the AWS account, the company should use AWS Config and automatic remediation. AWS Config is a service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Config continuously monitors and records the configuration changes of the AWS resources and evaluates them against desired configurations. Customers can use AWS Config rules to define the desired configuration state of their AWS resources and trigger actions when a resource configuration violates a rule.
One of the AWS Config rules that customers can use is vpc-flow-logs-enabled, which checks whether VPC flow logs are enabled for all VPCs in an AWS account. Customers can also configure automatic remediation for this rule, which means that AWS Config will automatically enable VPC flow logs for any VPCs that do not have them enabled. Customers can specify the destination (CloudWatch Logs or S3) and the traffic type (all, accept, or reject) for the flow logs as remediation parameters. By using AWS Config and automatic remediation, the company can ensure that flow logs remain configured for all existing and new VPCs in its AWS account, regardless of who creates them or how they are created.
The other options are not correct because they do not meet the requirements or follow best practices. Adding the resource to the CloudFormation stack that creates the VPCs is not a sufficient solution because it will only work for VPCs that are created by using the CloudFormation stack. It will not work for VPCs that are created by using other methods, such as the console or the API. Creating an organization in AWS Organizations and creating an SCP to prevent users from modifying VPC flow logs is not a good solution because it will not ensure that flow logs are enabled for all VPCs in the first place. It will only prevent users from disabling or changing flow logs after they are enabled. Creating an IAM policy to deny the use of API calls for VPC flow logs and attaching it to all IAM users is not a valid solution because it will prevent users from enabling or disabling flow logs at all. It will also not work for VPCs that are created by using other methods, such as the console or CloudFormation.
1: AWS::EC2::FlowLog - AWS CloudFormation
2: Amazon VPC Flow Logs extends CloudFormation Support to custom format subscriptions, 1-minute aggregation intervals and tagging
3: Logging IP traffic using VPC Flow Logs - Amazon Virtual Private Cloud About AWS Config - AWS Config vpc-flow-logs-enabled - AWS Config Remediate Noncompliant Resources with AWS Config Rules - AWS Config
NEW QUESTION # 70
......
There is no doubt that we all dream of working for top companies around the globe. Some people make it through but some keep on thinking about how to break that glass. If you are among those who belong to the latter category, you should start the preparations for the AWS Certified DevOps Engineer - Professional (DOP-C02) certification exam to improve your knowledge, expertise and crack even the toughest interview easily.
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