AWS-DevOps Reliable Test Answers, Dumps AWS-DevOps PDF

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q439-Q444):

NEW QUESTION # 439
A company has a hybrid architecture solution in which some legacy systems remain on-premises, while a specific cluster of servers is moved to AWS. The company cannot reconfigure the legacy systems, so the cluster nodes must have a fixed hostname and local IP address for each server that is part of the cluster. The DevOps Engineer must automate the configuration for a six-node cluster with high availability across three Availability Zones (AZs), placing two elastic network interfaces in a specific subnet for each AZ. Each node's hostname and local IP address should remain the same between reboots or instance failures. Which solution involves the LEAST amount of effort to automate this task?

A. Create a reusable AWS CLI script to launch each instance individually, which will name the instance, place it in a specific AZ, and attach a specific elastic network interface. Monitor the instances and in the event of failure, replace the missing instance manually by running the script again.
B. Create an Amazon DynamoDB table with the list of hostnames subnets, and elastic network interfaces to be used. Create a single AWS CloudFormation template to manage an Auto Scaling group with a minimum size of 6 and a maximum size of 6. Create a programmatic solution that is installed in each instance that will lock/release the assignment of each hostname and local IP address, depending on the subnet in which a new instance will be launched.
C. Create an AWS Elastic Beanstalk application and a specific environment for each server of the cluster.
For each environment, give the hostname, elastic network interface, and AZ as input parameters.
Use the local health agent to name the instance and attach a specific elastic network interface based on the current environment.
D. Create a reusable AWS CloudFormation template to manage an Amazon EC2 Auto Scaling group with a minimum size of 1 and a maximum size of 1. Give the hostname, elastic network interface, and AZ as stack parameters. Use those parameters to set up an EC2 instance with EC2 Auto Scaling and a user data script to attach to the specific elastic network interface. Use CloudFormation nested stacks to nest the template six times for a total of six nodes needed for the cluster, and deploy using the master template.

Answer: D

Explanation:
https://aws.amazon.com/pt/blogs/devops/use-nested-stacks-to-create-reusable-templates-and- support-role-specialization/

NEW QUESTION # 440
You have decided that you need to change the instance type of your production instances which are running as part of an AutoScaling group. The entire architecture is deployed using CloudFormation Template. You currently have 4 instances in Production. You cannot have any interruption in service and need to ensure 2 instances are always runningduring the update? Which of the options below listed can be used for this?

A. AutoScalinglntegrationUpdate
B. AutoScalingRollingUpdate
C. AutoScalingScheduledAction
D. AutoScalingReplacingUpdate

Answer: B

Explanation:
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePoIicy attribute. This is used to define how an Auto Scalinggroup resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances with new ones, according to the parameters specified. For more information on Autoscaling updates, please refer to the below link:
https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/

NEW QUESTION # 441
Which of the following Deployment types are available in the CodeDeploy service. Choose 2 answers from the options given below

A. Blue/green deployment
B. Rolling deployment
C. In-place deployment
D. Immutable deployment

Answer: A,C

Explanation:
Explanation
The following deployment types are available
1. In-place deployment: The application on each instance in the deployment group is stopped, the latest application revision is installed, and the new version of the application is started and validated.
2. Blue/green deployment: The instances in a deployment group (the original environment) are replaced by a different set of instances (the replacement environment) For more information on Code Deploy please refer to the below link:
* http://docs.aws.amazon.com/codedeploy/latest/userguide/primary-components.html

NEW QUESTION # 442
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. Create a new launch configuration with the new instance type
B. Use Elastic Beanstalk to deploy the new application with the new instance type
C. Use Cloudformation to deploy the new application with the new instance type
D. Create new EC2 instances with the new instance type and attach it to the Autoscaling Group

Answer: A

Explanation:
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_a
unchConfiguration.html

NEW QUESTION # 443
You are designing a service that aggregates clickstream data in batch and delivers reports to subscribers via email only once per week. Data is extremely spikey, geographically distributed, high-scale, and unpredictable. How should you design this system?

A. Use a CloudFront distribution with access log delivery to S3. Clicks should be recorded as querystring GETs to the distribution. Reports are built and sent by periodically running EMR jobs over the access logs in S3.
B. Use API Gateway invoking Lambdas which PutRecords into Kinesis, and EMR running Spark performing GetRecords on Kinesis to scale with spikes. Spark on EMR outputs the analysis to S3, which are sent out via email.
C. Use AWS Elasticsearch service and EC2 Auto Scaling groups. The Autoscaling groups scale based on click throughput and stream into the Elasticsearch domain, which is also scalable. Use Kibana to generate reports periodically.
D. Use a large RedShift cluster to perform the analysis, and a fleet of Lambdas to perform record inserts into the RedShift tables. Lambda will scale rapidly enough for the traffic spikes.

Answer: A

Explanation:
Because you only need to batch analyze, anything using streaming is a waste of money.
CloudFront is a Gigabit-Scale HTTP(S) global request distribution service, so it can handle scale, geo-spread, spikes, and unpredictability. The Access Logs will contain the GET data and work just fine for batch analysis and email using EMR.
Can I use Amazon CloudFront if I expect usage peaks higher than 10 Gbps or 15,000 RPS? Yes.
Complete our request for higher limits here, and we will add more capacity to your account within two business days.
https://aws.amazon.com/cloudfront/faqs/

NEW QUESTION # 444
......

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AWS-DevOps Reliable Test Answers, Dumps AWS-DevOps PDF

Dumps AWS-DevOps PDF & Valid Test AWS-DevOps Test

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q439-Q444):

AWS-DevOps: AWS Certified DevOps Engineer - Professional torrent & Testking AWS-DevOps guide

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