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NEW QUESTION: 1
Which objects can you plan in cost center accounting? There are THREE correct answers for this question
A. Non-operating expense accounts
B. Balance sheet accounts
C. Activity prices
D. Statistical key figures
E. Secondary cost accounts
Answer: A,D,E
NEW QUESTION: 2
Which of the following describes the combination of a disk, computer, and a network into a pool of resources to efficiently allocate resources?
A. Load balancing
B. Virtual resource reservation
C. Zoning
D. Converged infrastructure
Answer: D
NEW QUESTION: 3
You create a deep learning model for image recognition on Azure Machine Learning service using GPU-based training.
You must deploy the model to a context that allows for real-time GPU-based inferencing.
You need to configure compute resources for model inferencing.
Which compute type should you use?
A. Machine Learning Compute
B. Azure Kubernetes Service
C. Azure Container Instance
D. Field Programmable Gate Array
Answer: B
Explanation:
You can use Azure Machine Learning to deploy a GPU-enabled model as a web service. Deploying a model on Azure Kubernetes Service (AKS) is one option. The AKS cluster provides a GPU resource that is used by the model for inference.
Inference, or model scoring, is the phase where the deployed model is used to make predictions. Using GPUs instead of CPUs offers performance advantages on highly parallelizable computation.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-inferencing-gpus