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AWS Certified DevOps Engineer - Professional (DOP-C01)問題集を今すぐダウンロード

質問 32
During metric analysis, your team has determined that the company's website during peak hours is experiencing response times higher than anticipated. You currently rely on Auto Scaling to make sure that you are scaling your environment during peak windows. How can you improve your Auto Scaling policy to reduce this high response time? Choose 2 answers.

• A. Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have betterfine-grain insight.
• B. Create a script that runs and monitors your servers; when it detects an anomaly in load, it posts to an Amazon SNS topic that triggers Elastic Load Balancing to add more servers to the load balancer.
• C. IncreaseyourAutoScalinggroup'snumberofmaxservers.
• D. Push custom metrics to CloudWatch for your application that include more detailed information about your web application, such as how many requests it is handling and how many are waiting to be processed.

正解: C,D

解説:
Explanation
Option B makes sense because maybe the max servers is low hence the application cannot handle the peak load.
Option D helps in ensuring Autoscaling can scale the group on the right metrics.
For more information on Autoscaling health checks, please refer to the below document link: from AWS
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/healthcheck.html
*

質問 33
A company runs a database on a single Amazon EC2 instance in a development environment.
The data is stored on separate Amazon EBS volumes that are attached to the EC2 instance. An Amazon Route 53 A record has been created and configured to point to the EC2 instance. The company would like to automate the recovery of the database instance when an instance or Availability Zone (AZ) fails. The company also wants to keep its costs low. The RTO is 4 hours and RPO is 12 hours. Which solution should a DevOps Engineer implement to meet these requirements?

• A. Run the database in an Auto Scaling group with a minimum and maximum instance count of 1 in multiple AZs. Create an AWS Lambda function that is triggered by a scheduled Amazon CloudWatch Events rule every 4 hours to take a snapshot of the data volume and apply a tag.
  Have the instance UserData get the latest snapshot, create a new volume from it, and attach and mount the volume. Then start the database and update the Route 53 record.
• B. Run the database on two separate EC2 instances in different AZs. Configure one of the instances as a master and the other as a standby. Set up replication between the master and standby instances. Point the Route 53 record to the master. Configure an Amazon CloudWatch Events rule to invoke an AWS Lambda function upon the EC2 instance termination. The Lambda function launches a replacement EC2 instance. If the terminated instance was the active node, the function promotes the standby to master and points the Route 53 record to it.
• C. Run the database on two separate EC2 instances in different AZs with one active and the other as a standby. Attach the data volumes to the active instance. Configure an Amazon CloudWatch Events rule to invoke an AWS Lambda function on EC2 instance termination. The Lambda function launches a replacement EC2 instance. If the terminated instance was the active node, then the function attaches the data volumes to the standby node. Start the database and update the Route 53 record.
• D. Run the database in an Auto Scaling group with a minimum and maximum instance count of 1 in multiple AZs. Add a lifecycle hook to the Auto Scaling group and define an Amazon CloudWatch Events rule that is triggered when a lifecycle event occurs. Have the CloudWatch Events rule invoke an AWS Lambda function to detach or attach the Amazon EBS data volumes from the EC2 instance based on the event. Configure the EC2 instance UserData to mount the data volumes (retry on failure with a short delay), then start the database and update the Route 53 record.

正解: B

質問 34
You have been asked to de-risk deployments at your company. Specifically, the CEO is concerned about outages that occur because of accidental inconsistencies between Staging and Production, which sometimes cause unexpected behaviors in Production even when Staging tests pass. You already use Docker to get high consistency between Staging and Production for the application environment on your EC2 instances. How do you further de-risk the rest of the execution environment, since in AWS, there are many service components you may use beyond EC2 virtual machines?

• A. Use AWS Config to force the Staging and Production stacks to have configuration parity. Any differences will be detected for you so you are aware of risks.
• B. Develop models of your entire cloud system in CloudFormation. Use this model in Staging and Production to achieve greater parity. */
• C. Use AMIs to ensure the whole machine, including the kernel of the virual machines, is consistent, since Docker uses Linux Container (LXC) technology, and we need to make sure the container environment is consistent.
• D. Use AWS ECS and Docker clustering. This will make sure that the AMIs and machine sizes are the same across both environments.

正解: B

解説:
Explanation
After you have your stacks and resources set up, you can reuse your templates to replicate your infrastructure in multiple environments. For example, you can create environments for development, testing, and production so that you can test changes before implementing them into production. To make templates reusable, use the parameters, mappings, and conditions sections so that you can customize your stacks when you create them. For example, for your development environments, you can specify a lower-cost instance type compared to your production environment, but all other configurations and settings remain the same For more information on Cloudformation best practices please refer to the below link:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html

質問 35
To run an application, a DevOps Engineer launches an Amazon EC2 instances with public IP addresses in a public subnet. A user data script obtains the application artifacts and installs them on the instances upon launch. A change to the security classification of the application now requires the instances to run with no access to the Internet. While the instances launch successfully and show as healthy, the application does not seem to be installed.
Which of the following should successfully install the application while complying with the new rule?

• A. Publish the application artifacts to an Amazon S3 bucket and create a VPC endpoint for S3.
  Assign an IAM instance profile to the EC2 instances so they can read the application artifacts from the S3 bucket.
• B. Create a security group for the application instances and whitelist only outbound traffic to the artifact repository. Remove the security group rule once the install is complete.
• C. Set up a NAT gateway. Deploy the EC2 instances to a private subnet. Update the private subnet's route table to use the NAT gateway as the default route.
• D. Launch the instances in a public subnet with Elastic IP addresses attached. Once the application is installed and running, run a script to disassociate the Elastic IP addresses afterwards.

正解: A

解説:
EC2 instances running in private subnets of a VPC can now have controlled access to S3 buckets, objects, and API functions that are in the same region as the VPC. You can use an S3 bucket policy to indicate which VPCs and which VPC Endpoints have access to your S3 buckets
https://aws.amazon.com/pt/blogs/aws/new-vpc-endpoint-for-amazon-s3/

質問 36
A DevOps engineer is designing a multi-Region disaster recovery strategy for an application requiring an RPO of 1 hour and RTO of 4 hours. The application is deployed with an AWS CloudFormation template that creates an Application Load Balancer, Amazon EC2 instances in an Auto Scaling group, and an Amazon RDS Multi-AZ DB instance with 20 GB of allocated storage. The AMI of the application instance does not contain data and has been copied to the destination Region.
Which combination of actions will satisfy the recovery objectives at the LOWEST cost? (Choose two.)

• A. Launch an RDS DB instance in the failover Region and use AWS DMS to configure ongoing replication from the source database.
• B. Upon failover, launch the CloudFormation template in the failover Region with the snapshot ID as an input parameter. When the stack creation is complete, change the DNS records to point to the failover Region's Elastic Load Balancer.
• C. Upon failover, update the CloudFormation stack in the failover Region to update the Auto Scaling group from one running instance to the desired number of instances. When the stack update is complete, change the DNS records to point to the failover Region's Elastic Load Balancer.
• D. Schedule an AWS Lambda function to take a snapshot of the database every hour and copy the snapshot to the failover Region.
• E. Utilizing the build-in RDS automated backups, set up an event with Amazon CloudWatch Events that triggers an AWS Lambda function to copy the snapshot to the failover Region.

正解: B,E

質問 37
......