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DOP-C01 PDF DEMO:

QUESTION NO: 1
A company discovers that some IAM users have been storing their AWS access keys in configuration files that have been pushed to a Git repository hosting service.
Which solution will require the LEAST amount of management overhead while preventing the exposed AWS access keys from being used?
A. Create an AWS Config rule to detect when a key is exposed online. Haw AWS Config send change notifications to an SNS topic. Configure an AWS Lambda function that is subscribed to the SNS topic to check the notification sent by AWS Config, and then disable the access key so it cannot be used.
B. Build an application that will create a list of all AWS access keys in the account and search each key on Git repository hosting services. If a match is found, configure the application to disable the associated access key. Then deploy the application to an AWS Elastic Beanstalk worker environment and define a periodic task to invoke the application every hour.
C. Configure AWS Trusted Advisor and create an Amazon CloudWatch Events rule that uses Trusted
Advisor as the event source. Configure the CloudWatch Events rule to invoke an AWS Lambda function as the target. If the Lambda function finds the exposed access keys, then have it disable the access key so that it cannot be used.
D. Use Amazon Inspector to detect when a key has been exposed online. Have Amazon Inspector send a notification to an Amazon SNS topic when a key has been exposed. Create an AWS Lambda function subscribed to the SNS topic to disable the IAM user to whom the key belongs, and then delete the key so that it cannot be used.
Answer: C
Explanation
https://github.com/aws/Trusted-Advisor-Tools/tree/master/ExposedAccessKeys/stepbystep

QUESTION NO: 2
A web application for healthcare services runs on Amazon EC2 instances behind an ELB
Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple
Availability Zones. A DevOps Engineer must create a mechanism in which an EC2 instance can be taken out of production so its system logs can be analyzed for issues to quickly troubleshot problems on the web tier.
How can the Engineer accomplish this task while ensuring availability and minimizing downtime?
A. Implement EC2 Auto Scaling groups cooldown periods. Use EC2 instance metadata to determine the instance state, and an AWS Lambda function to snapshot Amazon EBS volumes to preserve system logs.
B. Terminate the EC2 instances manually. The Auto Scaling service will upload all log information to
CloudWatch Logs for analysis prior to instance termination.
C. Implement EC2 Auto Scaling groups with lifecycle hooks. Create an AWS Lambda function that can modify an EC2 instance lifecycle hook into a standby state, extract logs from the instance through a remote script execution, and place them in an Amazon S3 bucket for analysis.
D. Implement Amazon CloudWatch Events rules. Create an AWS Lambda function that can react to an instance termination to deploy the CloudWatch Logs agent to upload the system and access logs to Amazon S3 for analysis.
Answer: C

QUESTION NO: 3
An e-commerce company is running a web application in an AWS Elastic Beanstalk environment. In recent months, the average load of the Amazon EC2 instances has been increased to handle more traffic.
The company would like to improve the scalability and resilience of the environment. The
Development team has been asked to decouple long-running tasks from the environment if the tasks can be executed asynchronously. Examples of these tasks include confirmation emails when users are registered to the platform, and processing images or videos. Also, some of the periodic tasks that are currently running within the web server should be offloaded.
What is the most time-efficient and integrated way to achieve this?
A. Create a second Elastic Beanstalk worker tier environment and deploy the application to process the asynchronous tasks there. Send the tasks that should be decoupled from the original Elastic
Beanstalk web server environment to the auto-generated Amazon SQS queue by the Elastic Beanstalk worker environment. Place a cron.yaml file within the root of the application source bundle for the worker environment periodic tasks. Use environment links to link the web server environment with the worker environment.
B. Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic
Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto
Scaling group.
Use an AMI that contains the application to process the asynchronous tasks, configure the application to listen for messages within the SQS queue, and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk environment with a value pointing to the SQS queue endpoint.
C. Create an Amazon SQS queue and send the tasks that should be decoupled from the Elastic
Beanstalk web server environment to the SQS queue. Create a fleet of EC2 instances under an Auto
Scaling group.
Install and configure the application to listen for messages within the SQS queue from UserData and create periodic tasks by placing those into the cron in the operating system. Create an environment variable within the Elastic Beanstalk web server environment with a value pointing to the SQS queue endpoint.
D. Create a second Elastic Beanstalk web server tier environment and deploy the application to process the asynchronous tasks. Send the tasks that should be decoupled from the original Elastic
Beanstalk web server to the auto-generated Amazon SQS queue by the Elastic Beanstalk web server tier environment.
Place a cron.yaml file within the root of the application source bundle for the second web server tier environment with the necessary periodic tasks. Use environment links to link both web server environments.
Answer: D

QUESTION NO: 4
You have an application running a specific process that is critical to the application's functionality, and have added the health check process to your Auto Scaling Group. The instances are showing healthy but the application itself is not working as it should. What could be the issue with the health check, since it is still showing the instances as healthy.
A. The health check is not configured properly
B. You do not have the time range in the health check properly configured
C. It is not possible for a health check to monitor a process that involves the application
D. The health check is not checking the application process
Answer: D
Explanation
If you have custom health checks, you can send the information from your health checks to Auto
Scaling so that Auto Scaling can use this information. For example, if you determine that an instance is not functioning as expected, you can set the health status of the instance to Unhealthy. The next time that Auto Scaling performs a health check on the instance, it will determine that the instance is unhealthy and then launch a replacement instance For more information on Autoscaling health checks, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/healthcheck.html

QUESTION NO: 5
When specifying multiple variable names and values for a playbook on the command line, which of the following is the correct syntax?
A. ansible-playbook playbook.yml -e `host: "foo", pkg: "bar"'
B. ansible-playbook playbook.yml --extra-vars "host=foo", "pkg=bar"
C. ansible-playbook playbook.yml -e `host="foo"' -e `pkg="bar"'
D. ansible-playbook playbook.yml -e `host="foo" pkg="bar"'
Answer: D
Explanation:
Variables are passed in a single command line parameter, `-e' or `--extra-vars'. They are sent as a single string to the playbook and are space delimited. Because of the space delimeter, variable values must be encapsulated in quotes. Additionally, proper JSON or YAML can be passed, such as: `-e
`{"key": "name", "array": ["value1", "value2"]}'.
Reference:
http://docs.ansible.com/ansible/playbooks_variables.html#passing-variables-on-the-command-line

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Updated: Nov 25, 2020

DOP-C01 問題無料 - DOP-C01 関連日本語版問題集 & AWS Certified DevOps Engineer Professional

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試験コード:DOP-C01
試験名称:AWS Certified DevOps Engineer - Professional
最近更新時間:2020-11-25
問題と解答:全 263
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試験コード:DOP-C01
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試験コード:DOP-C01
試験名称:AWS Certified DevOps Engineer - Professional
最近更新時間:2020-11-25
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