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NEW QUESTION: 1
You deploy a model as an Azure Machine Learning real-time web service using the following code.

The deployment fails.
You need to troubleshoot the deployment failure by determining the actions that were performed during deployment and identifying the specific action that failed.
Which code segment should you run?
A. service.update_deployment_state()
B. service.get_logs()
C. service.state
D. service.serialize()
Answer: B
Explanation:
You can print out detailed Docker engine log messages from the service object. You can view the log for ACI, AKS, and Local deployments. The following example demonstrates how to print the logs.
# if you already have the service object handy
print(service.get_logs())
# if you only know the name of the service (note there might be multiple services with the same name but different version number) print(ws.webservices['mysvc'].get_logs()) Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-deployment

NEW QUESTION: 2
You have a web application that's developed in Node.js The code is hosted in Git repository. You want to now deploy this application to AWS. Which of the below 2 options can fulfil this requirement.
A. Create a Docker file to install Node.js. and gets the code from Git. Use the Dockerfile to perform the deployment on a new AWS Elastic Beanstalk application. S
B. Create an AWS CloudFormation template which creates an instance with the AWS::EC2::Container resources type. With UserData, install Git to download the Node.js application and then set it up.
C. Create an AWS CloudFormation template which creates an instance with the AWS::EC2::lnstance resource type and an AMI with Docker pre-installed. With UserData, install Git to download the Node.js application and then set it up.
D. Create an Elastic Beanstalk application. Create a Docker file to install Node.js. Get the code from Git.
Use the command "aws git.push" to deploy the application
Answer: A,C
Explanation:
Explanation
Option A is invalid because there is no "awsgitpush" command
Option B is invalid because there is no AWS::CC2::Container resource type.
Clastic Beanstalk supports the deployment of web applications from Docker containers. With Docker containers, you can define your own runtime environment. You can choose your own platform, programming language, and any application dependencies (such as package managers or tools), that aren't supported by other platforms. Docker containers are self-contained and include all the configuration information and software your web application requires to run.
For more information on Docker and Clastic beanstalk please refer to the below link:
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker.html
When you launch an instance in Amazon CC2, you have the option of passing user data to the instance that can be used to perform common automated configuration tasks and even run scripts after the instance starts.
You can pass two types of user data to Amazon CC2: shell scripts and cloud-init directives. You can also pass this data into the launch wizard as plain text, as a file (this is useful for launching instances using the command line tools), or as base64-encoded text (for API calls). For more information on Cc2 User data please refer to the below link:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/user-data.html
Note: "git aws.push" with CB CLI 2.x - see a forum thread at
https://forums.aws.amazon.com/thread.jspa7messageID=583202#jive-message-582979.
Basically, this is a predecessor to the newer "eb deploy" command in CB CLI 31. This question kept in order to be consistent with exam.

NEW QUESTION: 3
You have a Hyper-V host that runs Windows Server 2016.
You need to identify the amount of processor resources consumed by Hyper-V and virtual machines.
Which counter should you use from Performance Monitor?
A. \Hyper-V Hypervisor Root Virtual Processor(_Total)\% Guest Run Time
B. \Hyper-V Hypervisor\Logical Processor
C. \Hyper-V Hypervisor Virtual Processor(_Total)\% Hypervisor Run Time
D. \Hyper-V Hypervisor Virtual Processor(_Total)\% Total Run Time
E. \Hyper-V Hypervisor Logical Processor(_Total)\% Total Run Time
Answer: B
Explanation:
Explanation
References:
https://msdn.microsoft.com/en-us/library/cc768535(v=bts.10).aspx