1. Which of the following is a container for metrics in Cloud watch?

A) Metric Collection
B) Locale
C) Packages
D) Namespaces



2. One of your engineers has written a web application in the Go Programming language and has asked your Dev Ops team to deploy It to AWS. The application code is hosted on a Git repository. What are your options? (Select Two)(Select 2answers)

A) Write a Docker file that installs the Go base image and fetches your application using Git. Create a new AWS(Amazon Web Service) Elastic Beanstalk application and use this Docker file to automate the deployment.
B) Write a Docker file that installs the Go base image and uses Git to fetch your application. Create a new AW Ops Works stack that contains a Docker layer that uses the Dockerrun .aws. json file to deploy your container and then use the Dockerfile to automate the deployment.
C) Write a Docker file that installs the Go base image and fetches your application using Git, Create an AWS(Amazon Web Service) Cloud Formation template that creates and associates an AWS::EC2::instance resource type with an AWS::EC2::Container resource type.
D) Create a new AWS(Amazon Web Service) Elastic Beanstalk application and configure a Go environment to host your application. Using GIt check out the latest version of the code, once the local repository for Elastic Beanstalk Is configured use eb create' command to create an environment and then use 'eb deploy' command to deploy the application.



3. You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your application has increased in popularity; this has resulted in a decrease In the performance of the application due to the increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and a My SQL RDS instance initially deployed with AWS(Amazon Web Service) Cloud Formation. Your Auto Scaling group has a mm value of 4 and a max value of 8. The desired capacity is now at 8 due to the high CPU utilization of the instances. After some analysis, you are confident that the performance Issues stem from a constraint in CPU capacity, while memory utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy thi change while minimizing any interruption to your end users?

A) Update the launch configuration specified in the AWS(Amazon Web Service) Cloud Formation template with the new C3 instance type. Also add an Update Policy attribute to your Auto Scaling group that specifies an Auto Scaling Rolling Update. P a stack update with the new template
B) Sign into the AWS(Amazon Web Service) Management Console and update the existing launch configuration with the new C3 instance type. Add an Update Policy attribute to your Auto Scaling group that specifies an AutoScaling Rolling update.
C) Sign into the AWS(Amazon Web Service) Management Console, copy the old launch configuration, and create a new launch configuration that specifies the C3 instances. Update the Auto Scaling group with the new launch configuration. Auto Scaling will then update the instance type of all running instances
D) Update the launch configuration specified in the AWS(Amazon Web Service) Cloud Formation template with the new C3 instance type. Run a stack update with the new template. Auto Scaling will then update the instances with the new instance type



4. You work as a Dev ops Engineer for your company. There are currently a number of environments hosted via Elastic beanstalk. There is a requirement to ensure to ensure that the rollback time for a new version application deployment is kept to a minimal. Which elastic beanstalk deployment method would fulfill this requirement?

A) Blue/Green
B) Rolling with additional batch
C) All at Once
D) Rolling



5. You have a web application that is currently running on a three M3 instances in three AZs. You have an Auto Scaling group configured to scale from three to thirty Instances. When reviewing your Cloud Watch metrics, you see that sometimes your Auto Scaling group is hosting fifteen instances. The web application is reading and writing to a Dynamo DBconfigured backend and configured with 800 Write Capacity Units and 800 Read Capacity Units. Your Dynamo DB Primary Key is the Company ID. You are hosting 25 TB of data in your web application. You have a single customer that is complaining of long load times when their staff arrives at the office at 9:00 AM and loads the website, which consists of content that is pulled from Dynamo DB. You have other customers who routinely use the web application. Choose the answer that will ensure high availability and reduce the customer's access times?

A) Change your Auto Scaling group configuration to use Amazon C3 instance types. because the web application layer is probably running out of compute capacity.
B) Add a caching layer in front of your web application by choosing Elastic Cache Mem cached instances in one of the AZ5.
C) Implement an Amazon SQS queue between your Dynamo DB database layer and the web application layer to minimize the large burst In traffic the customer generates when everyone arrives at the office at 9:00AM and begins accessing the website.
D) Double the number of Read Capacity Units in your Dynamo DB instance because the instance is probably being throttled when the customer accesses the website and your web application.