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NEW QUESTION: 1
The Sales credit information on the sales order is used to _______.
A. calculate and pay commission through Order Management and Accounts receivable
B. calculate and pay commission by CRM incentive compensation
C. calculate commission amounts through Order Management and pass to Accounts Payable
D. calculate and store commission amounts on the Order
Answer: B

NEW QUESTION: 2
Refer to the exhibit.

The budget for ORG for the month of September contained the following data:
During the month the actual number of units produced was 1,550. The management accounts showed a direct labour rate variance of $200 adverse and direct labour efficiency of $150 adverse.
The actual direct labour cost in the month was:
Answer:
Explanation:
$4997 adverse

NEW QUESTION: 3
You have a real-time scoring pattern that uses deep learning models in Azure.
You need to complete the scoring pattern.
What should you use? To answer, drag the appropriate Azure services to the correct locations in the scoring pattern. Each service may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Azure Container Registry
Azure Container Registry enables storage of images for all types of Docker container deployments including DC/OS, Docker Swarm and Kubernetes. The scoring images are deployed as containers on Azure Kubernetes Service and used to run the scoring script. The image used here is created by Machine Learning from the trained model and scoring script, and then is pushed to the Azure Container Registry.
Box 2: Azure Kubernetes Services
Azure Kubernetes Service (AKS) is used to deploy the application on a Kubernetes cluster. AKS simplifies the deployment and operations of Kubernetes. The cluster can be configured using CPU-only VMs for regular Python models or GPU-enabled VMs for deep learning models.
This reference architecture shows how to deploy Python models as web services to make real-time predictions using the Azure Machine Learning.

References:
https://docs.microsoft.com/sv-se/azure/architecture/reference-architectures/ai/realtime-scoring-python