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NEW QUESTION: 1
Bandwidth limits cannot be:
A. overall
B. per user
C. per (LDAP) group
Answer: C

NEW QUESTION: 2
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. Azure Container Instance
B. Azure Kubernetes Service
C. Machine Learning Compute
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

NEW QUESTION: 3
Which two attributes are defined in class of service? (Choose two.)
A. access to features, such as text-to-speech email or live reply
B. access to the Cisco Presence Server administration page
C. the maximum length of subscriber messages and greetings
D. the minimum length of subscriber messages and greetings
Answer: A,C

NEW QUESTION: 4
Which RecoverPoint family is licensed per array and array capacity?
A. RecoverPoint/SE
B. RecoverPoint/EX only
C. RecoverPoint/CL only
D. RecoverPoint/EX and RecoverPoint/CL
Answer: B