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AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
A DevOps Engineer must track the health of a stateless RESTful service sitting behind a Classic
Load Balancer. The deployment of new application revisions is through a Cl/CD pipeline. If the service's latency increases beyond a defined threshold, deployment should be stopped until the service has recovered.
Which of the following methods allow for the QUICKEST detection time?
A. Use AWS CodeDeploy's Minimum Healthy Hosts setting to define thresholds for rolling back deployments. If these thresholds are breached, roll back the deployment.
B. Use Amazon CloudWatch metrics provided by Elastic Load Balancing to calculate average latency.
Alarm and stop deployment when latency increases beyond the defined threshold.
C. Use AWS Lambda and Elastic Load Balancing access logs to detect average latency. Alarm and stop deployment when latency increases beyond the defined threshold.
D. Use Metric Filters to parse application logs in Amazon CloudWatch Logs. Create a filter for latency.
Alarm and stop deployment when latency increases beyond the defined threshold.
Answer: B
Explanation
https://docs.aws.amazon.com/elasticloadbalancing/latest/classic/elb-cloudwatch-metrics.html
https://docs.aws.amazon.com/codedeploy/latest/userguide/deployments-stop.html

QUESTION NO: 2
A DevOps Engineer manages a large commercial website that runs on Amazon EC2. The website uses Amazon Kinesis Data Streams to collect and process web logs. The Engineer manages the Kinesis consumer application, which also runs on EC2. Spikes of data cause the Kinesis consumer application to fall behind, and the streams drop records before they can be processed.
What is the FASTEST method to improve stream handling?
A. Increase the number of shards in the Kinesis Data Streams to increase the overall throughput so that the consumer processes data faster.
B. Horizontally scale the Kinesis consumer application by adding more EC2 instances based on the
GetRecord.IteratorAgeMiliseconds Amazon CloudWatch metric. Increase the Kinesis Data Streams retention period.
C. Convert the Kinesis consumer application to run as an AWS Lambda function. Configure the Kinesis
Data Streams as the event source for the Lambda function to process the data streams.
D. Modify the Kinesis consumer application to store the logs durably in amazon S3. Use Amazon EMR to process the data directly on S3 to derive customer insights and store the results in S3.
Answer: B

QUESTION NO: 3
A company is adopting AWS CodeDeploy to automate its application deployments for a Java-
Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application.
After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?
A. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings. Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file
B. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.
C. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.
D. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the Afterinstall lifecycle hook in the appspec.yml file.
Answer: A
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure- hooks.html

QUESTION NO: 4
A DevOps Engineer administers an application that manages video files for a video production company. The application runs on Amazon EC2 instances behind an ELB Application Load Balancer.
The instances run in an Auto Scaling group across multiple Availability Zones. Data is stored in an
Amazon RDS PostgreSQL Multi-AZ DB instance, and the video files are stored in an Amazon S3 bucket.
On a typical day, 50 GB of new video are added to the S3 bucket. The Engineer must implement a multi-region disaster recovery plan with the least data loss and the lowest recovery times. The current application infrastructure is already described using AWS CloudFormation.
Which deployment option should the Engineer choose to meet the uptime and recovery objectives for the system?
A. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create an Amazon RDS read replica in the second region. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, promote the read replica as master. Update the CloudFormation stack and increase the capacity of the Auto Scaling group.
B. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database and copy the snapshot to the second region. Create an AWS Lambda function that copies each object to a new S3 bucket in the second region in response to S3 event notifications. In the second region, launch the application from the CloudFormation template and restore the database from the most recent snapshot.
C. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create a scheduled task to take daily Amazon RDS cross- region snapshots to the second region. In the second region, enable cross-region replication between the original S3 bucket and Amazon Glacier. In a disaster, launch a new application stack in the second region and restore the database from the most recent snapshot.
D. Launch the application from the CloudFormation template in the second region which sets the capacity of the Auto Scaling group to 1. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database, copy the snapshot to the second region, and replace the DB instance in the second region from the snapshot. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, increase the capacity of the Auto Scaling group.
Answer: A

QUESTION NO: 5
You have deployed an application to AWS which makes use of Autoscaling to launch new instances. You now want to change the instance type for the new instances. Which of the following is one of the action items to achieve this deployment?
A. Use Cloudformation to deploy the new application with the new instance type
B. Create new EC2 instances with the new instance type and attach it to the Autoscaling Group
C. Create a new launch configuration with the new instance type
D. Use Elastic Beanstalk to deploy the new application with the new instance type
Answer: C
Explanation
The ideal way is to create a new launch configuration, attach it to the existing Auto Scaling group, and terminate the running instances.
Option A is invalid because Clastic beanstalk cannot launch new instances on demand. Since the current scenario requires Autoscaling, this is not the ideal option Option B is invalid because this will be a maintenance overhead, since you just have an Autoscaling Group.
There is no need to create a whole Cloudformation
template for this.
Option D is invalid because Autoscaling Group will still launch CC2 instances with the older launch configuration For more information on Autoscaling Launch configuration, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/l_aunchConfiguration.html

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Updated: May 28, 2020

AWS-DevOps-Engineer-Professional 模擬問題集 - AWS-DevOps-Engineer-Professional 日本語関連対策 & AWS Certified DevOps Engineer Professional (DOP C01)

PDF問題と解答

試験コード:AWS-DevOps-Engineer-Professional
試験名称:AWS Certified DevOps Engineer - Professional (DOP-C01)
最近更新時間:2020-05-28
問題と解答:全 187
Amazon AWS-DevOps-Engineer-Professional 日本語解説集

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模擬試験

試験コード:AWS-DevOps-Engineer-Professional
試験名称:AWS Certified DevOps Engineer - Professional (DOP-C01)
最近更新時間:2020-05-28
問題と解答:全 187
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オンライン版

試験コード:AWS-DevOps-Engineer-Professional
試験名称:AWS Certified DevOps Engineer - Professional (DOP-C01)
最近更新時間:2020-05-28
問題と解答:全 187
Amazon AWS-DevOps-Engineer-Professional 日本語試験対策

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AWS-DevOps-Engineer-Professional 認定試験

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