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NEW QUESTION: 1
When synchronizing configuration data to Genesys WFM, which objects are not synchronized?
A. Switch
B. Agent Group(s)
C. Agents
D. Skills
E. Agent Skill Level
Answer: B

NEW QUESTION: 2
Exhibit.

Which two statements describe the output shown in the exhibit"? (Choose two)
A. Redundancy group 1 was administratively failed over.
B. Node 1 is passing traffic for redundancy group 1
C. Redundancy group 1 experienced an operational failure.
D. Node 0 is passing traffic for redundancy group 1
Answer: A,B

NEW QUESTION: 3
GPUベースのトレーニングを使用して、Azure Machine Learningサービスで画像認識のためのディープラーニングモデルを作成します。
リアルタイムのGPUベースの推論を可能にするコンテキストにモデルをデプロイする必要があります。
モデル推論のためにコンピューティングリソースを構成する必要があります。
どの計算タイプを使用する必要がありますか？
A. フィールドプログラマブルゲートアレイ
B. 機械学習コンピューティング
C. Azureコンテナーインスタンス
D. Azure Kubernetesサービス
Answer: D
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