NEW DOP-C01 STUDY MATERIALS, LATEST DOP-C01 EXAM PATTERN

New DOP-C01 Study Materials, Latest DOP-C01 Exam Pattern

New DOP-C01 Study Materials, Latest DOP-C01 Exam Pattern

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q226-Q231):

NEW QUESTION # 226
Your application's Auto Scaling Group scales up too quickly, too much, and stays scaled when traffic decreases. What should you do to fix this?

  • A. Set a longer cooldown period on the Group, so the system stops overshooting the target capacity.
    The issue is that the scaling system doesn't allow enough time for new instances to begin servicing requests before measuring aggregate load again.
  • B. Use larger instances instead of lots of smaller ones, so the Group stops scaling out so much and wasting resources as the OS level, since the OS uses a higher proportion of resources on smaller instances.
  • C. Calculate the bottleneck or constraint on the compute layer, then select that as the new metric, and set the metric thresholds to the bounding values that begin to affect response latency.
  • D. Raise the CloudWatch Alarms threshold associated with your autoscaling group, so the scaling takes more of an increase in demand before beginning.

Answer: C

Explanation:
Systems will always over-scale unless you choose the metric that runs out first and becomes constrained first. You also need to set the thresholds of the metric based on whether or not latency is affected by the change, to justify adding capacity instead of wasting money.
http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/policy_creating.html


NEW QUESTION # 227
A company is using an AWS CloudFormation template to deploy web applications. The template requires that manual changes be made for each of the three major environments: production, staging, and development. The current sprint includes the new implementation and configuration of AWS CodePipeline for automated deployments.
What changes should the DevOps Engineer make to ensure that the CloudFormation template is reusable across multiple pipelines?

  • A. Use a CloudFormation custom resource to query the status of the CodePipeline to determine which environment is launched. Dynamically alter the launch configuration of the Amazon EC2 instances.
  • B. Use CloudFormation input parameters to dynamically alter the LaunchConfiguration and UserData sections of each Amazon EC2 instance every time the CloudFormation stack is updated.
  • C. Set up a CodePipeline pipeline for each environment to use input parameters. Use CloudFormation mappings to switch associated UserData for the Amazon EC2 instances to match the environment being launched.
  • D. Set up a CodePipeline pipeline that has multiple stages, one for each development environment.
    Use AWS Lambda functions to trigger CloudFormation deployments to dynamically alter the UserData of the Amazon EC2 instances launched in each environment.

Answer: D


NEW QUESTION # 228
Your current log analysis application takes more than four hours to generate a report of the top 10 users of
your web application. You have been asked to implement a system that can report this information in real
time, ensure that the report is always up to date, and handle increases in the number of requests to your web
application. Choose the option that is cost-effective and can fulfill the requirements.

  • A. Create a multi-AZ Amazon RDS MySQL cluster, post the logging data to MySQL, and run a map
    reduce job to retrieve the required information on user counts.
  • B. Publish your data to Cloud Watch Logs, and configure your application to autoscale to handle the load
    on demand.
  • C. Post your log data to an Amazon Kinesis data stream, and subscribe your log-processing application so
    that is configured to process your logging data.
  • D. Publish your log data to an Amazon S3 bucket. Use AWS CloudFormation to create an Auto
    Scalinggroup to scale your post-processing application which is configured to pull down your log files
    stored an Amazon S3.

Answer: C

Explanation:
Explanation
When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time.
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely
insights and react quickly to new information. Amazon
Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility
to choose the tools that best suit the requirements of
your application. With Amazon Kinesis, you can ingest real-time data such as application logs, website
clickstreams, loT telemetry data, and more into your
databases, data lakes and data warehouses, or build your own real-time applications using this data.
For more information on Amazon Kinesis, please visit the below URL:
* https://aws.amazon.com/kinesis


NEW QUESTION # 229
A company has a legacy application running on AWS. The application can only run on one Amazon EC2 instance at a time. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance should be automatically restarted or relaunched if performance degrades.
Which solution will satisfy those requirements?

  • A. Use the Auto Recovery feature in Amazon EC2 to automatically stop and start the EC2 instance in case of a failure .Use a trigger in Amazon S3 to push the metadata to the instance when it is back up and running
  • B. Use the auto healing feature in AWS OpsWorks to stop and start the EC2 instance. Use a lifecycle event in OpsWorks to pull the data from Amazon S3 and update it on the instance.
  • C. Create an Amazon Cloud Watch alarm to monitor the EC2 instance. When the StatusCheckfailed system alarm is triggered use the recover action to stop and start the instance. Use a trigger in Amazon S3 to push the metadata to the instance when it is back up and running
  • D. Use AWS CloudFormation to create an EC2 instance that includes the user-data property for the EC2 resource. Add a command in user data to retrieve the application metadata from Amazon S3.

Answer: A


NEW QUESTION # 230
A company runs an application on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones in us-east1. The application stores data in an Amazon RDS MySQL Multi-AZ DB instance.
A DevOps Engineer wants to modify the current solution and create a hot standby of the environment in another region to minimize downtime if a problem occurs in us-east-1.
Which combination of steps should the DevOps Engineer take to meet these requirements? (Choose three.)

  • A. Extend the current Amazon EC2 Auto Scaling group to the subnets in the disaster recovery region.
  • B. Deploy a read replica of the RDS instance in the disaster recovery region.
  • C. Enable multi-region failover for the RDS configuration for the database instance.
  • D. Create a new Application Load Balancer and Amazon EC2 Auto Scaling group in the disaster recovery region.
  • E. Create an AWS Lambda function to evaluate the health of the primary region. If it fails, modify the Amazon Route 53 record to point at the disaster recovery region and promote the RDS read replica.
  • F. Add a health check to the Amazon Route 53 alias record to evaluate the health of the primary region. Use AWS Lambda, configured with an Amazon CloudWatch Events trigger, to promote the Amazon RDS read replica in the disaster recovery region.

Answer: B,D,F


NEW QUESTION # 231
......

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