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NEW QUESTION: 1
: 164 DRAG DROP
You are developing a software solution for an autonomous transportation system. The solution uses large data sets and Azure Batch processing to simulate navigation sets for entire fleets of vehicles.
You need to create compute nodes for the solution on Azure Batch.
What should you do?
Put the actions in the correct order.

Answer:
Explanation:

Explanation

With the Azure Portal:
Step 1: In the Azure portal, create a Batch account.
First we create a batch account.
Step 2: In the Azure portal, create a pool of compute nodes
Now that you have a Batch account, create a sample pool of Windows compute nodes for test purposes.
Step 3: In the Azure portal, add a Job.
Now that you have a pool, create a job to run on it. A Batch job is a logical group for one or more tasks. A job includes settings common to the tasks, such as priority and the pool to run tasks on. Initially the job has no tasks.
Step 4: In the Azure portal, create tasks
Now create sample tasks to run in the job. Typically you create multiple tasks that Batch queues and distributes to run on the compute nodes.
References:
https://docs.microsoft.com/en-us/azure/batch/quick-create-portal

NEW QUESTION: 2
Which of these statements regarding Application Groups are true? (select two)
A. VMs added must belong to the same platform (Microsoft Hyper-V or VMware vSphere)
B. The application group creates the "surroundings" for the verified VM(s).
C. Heartbeat/Ping/Script tests can be performed against ANY guest operating system.
D. VMs can mixed from both Microsoft Hyper-V and VMware vSphere
E. The application group creates the "surroundings" for the verified VM(s). VM(s) inside application group are not tested/verified.
Answer: B,C
Explanation:
Reference: http://helpcenter.veeam.com/backup/80/vsphere/application_group.html

NEW QUESTION: 3
What are key features of the SAP Commerce Rule Engine? (2)
A. It provides a backoffice interface to create new conditions
B. It provides separation of data and logic
C. It provides a centralized repository of rules
D. It provides a backoffice interface to trigger the rule execution
Answer: B,C

NEW QUESTION: 4
You are building a recurrent neural network to perform a binary classification. You review the training loss, validation loss, training accuracy, and validation accuracy for each training epoch.
You need to analyze model performance.
Which observation indicates that the classification model is over fitted?
A. The training loss .stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.
B. The training loss stays constant and the validation loss decreases when training the model.
C. The training loss decreases while the validation loss increases when training the model.
D. The training loss increases while the validation loss decreases when training the model.
Answer: D

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