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Policies and Standards Automation (10%)

• Applying the concepts that are required to implement standards for logging, security, testing, monitoring & metrics.
• Determining how to optimize the cost through automation;
• Applying the concepts required to implement the governance strategies;

What is AWS DevOps Engineer Professional Exam

The AWS Certified DevOps Engineer - Professional (DOP-CO1) exam measures a candidate's technical experience in the supply, operation and administration of the application systems distributed on the AWS platform. It is intended for people who play the role of DevOps engineer. This exam also verify a candidate must have skills to implement and manage continuous delivery systems and methodologies in AWS implement and automate security controls, governance processes and compliance validation define and implement monitoring, metric systems and AWS registration implement highly available, scalable and self-regenerating systems on the AWS platform Design, manage and maintain tools to automate operational processes.

>> Latest Amazon DOP-C01 Test Questions <<

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q85-Q90):

NEW QUESTION # 85
A retail company is currently hosting a Java-based application in its on-premises data center. Management wants the DevOps Engineer to move this application to AWS. Requirements state that while keeping high availability, infrastructure management should be as simple as possible. Also, during deployments of new application versions, while cost is an important metric, the Engineer needs to ensure that at least half of the fleet is available to handle user traffic.
What option requires the LEAST amount of management overhead to meet these requirements?

• A. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a CodeDeploy.HalfAtAtime configuration for application deployments.
• B. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing.
  Configure the network setting for the environment to launch instances across subnets in different Availability Zones. Use "Rolling with additional batch" as a deployment strategy with a batch size of
  50%.
• C. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a custom deployment configuration with the MinimumHealthyHosts option set to type FLEET_PERCENT and a value of 50.
• D. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing.
  Configure the network options for the environment to launch instances across subnets in different Availability Zones. Use "Rolling" as a deployment strategy with a batch size of 50%.

Answer: D

Explanation:
Explanation
Rolling with batches keep 100% up yoiu need 50%. With rolling deployments, Elastic Beanstalk splits the environment's EC2 instances into batches and deploys the new version of the application to one batch at a time, leaving the rest of the instances in the environment running the old version of the application.
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.rolling-version-deploy.html

NEW QUESTION # 86
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 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.
• B. 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 EMRjobs over the access logs in S3.
  C 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.
  D- 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.

Answer: B

Explanation:
Explanation
When you look at building reports or analyzing data from a large data set, you need to consider CMR because this service is built on the Hadoop framework which is used to processes large data sets.
The ideal approach to getting data onto CMR is to use S3. Since the Data is extremely spikey and geographically distributed, using edge locations via Cloudfront distributions is the best way to fetch the data.
Option A is invalid because RedShift is more of a petabyte storage cluster.
Option C is invalid because having both Kinesis and CMR for the job analysis is redundant.
Option D is invalid because Elastic Search is not an option for processing records.
For more information on Amazon CMR, please visit the below URL:
* https://aws.amazon.com/emr/

NEW QUESTION # 87
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind load balancer, and are using Amazon RDS with read replicas.
Which of the following methods should you use to implement a self-healing and cost-effective architecture? Choose 2 answers.

• A. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the data storage layer to ensure that they don't become unhealthy.
• B. Set up an Auto Scaling group for the database tier along with an Auto Scaling policy that uses the Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.
• C. Set up an Auto Scaling group for the web server tier along with an Auto Scaling policy that uses the Amazon RDS DB CPU utilization CloudWatch metric to scale the instances.
• D. Use an Amazon RDS Multi-AZ deployment.
• E. Set up an Auto Scaling group for the web server tier along with an Auto Scaling policy that uses the Amazon EC2 CPU utilization CloudWatch metric to scale the instances.
• F. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom CloudWatch metrics to trigger the termination of unhealthy Amazon EC2 instances.
• G. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in order to determine which instance is unhealthy and replace it.

Answer: D,E

NEW QUESTION # 88
Your company has developed a web application and is hosting it in an Amazon S3 bucket configured for static website hosting.
The application is using the AWS SDK for JavaScript in the browser to access data stored in an Amazon DynamoDB table.
How can you ensure that API keys for access to your data in DynamoDB are kept secure?

• A. Store AWS keys in global variables within your application and configure the application to use these credentials when making requests.
• B. Configure S3 bucket tags with your AWS access keys for your bucket hosing your website so that the application can query them for access.
• C. Create an Amazon S3 role in IAM with access to the specific DynamoDB tables, and assign it to the bucket hosting your website.
• D. Configure a web identity federation role within IAM to enable access to the correct DynamoDB resources and retrieve temporary credentials.

Answer: D

NEW QUESTION # 89
Your company develops a variety of web applications using many platforms and programming languages with different application dependencies.
Each application must be developed and deployed quickly and be highly evadable to satisfy your business requirements.
Which of the following methods should you use to deploy these applications rapidly?

• A. Store each application's code in a Git repository, develop custom package repository managers for each application's dependencies, and deploy to AWS OpsWorks in multiple Availability Zones.
• B. Use the AWS CloudFormation Docker import service to build and deploy the applications with high availability in multiple Availability Zones.
• C. Develop each application's code in DynamoDB, and then use hooks to deploy it to Elastic Beanstalk environments with Auto Scaling and Elastic Load Balancing.
• D. Develop the applications in Docker containers, and then deploy them to Elastic Beanstalk environments with Auto Scaling and Elastic Load Balancing.

Answer: D

NEW QUESTION # 90
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