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NEW QUESTION: 1
Which of the following regarding route reflectors is TRUE?
A. There can only be one route reflector in a cluster.
B. Only the route reflector is configured with a cluster id.
C. Clients should have iBGP sessions with each other to maintain the mesh.
D. There can only be one level of route reflectors in the topology.
Answer: B

NEW QUESTION: 2
Is there a limit to how many groups a user can be in?
A. No
B. Yes for all users except root
C. Yes for all users
D. Yes unless special permission granted
Answer: C
Explanation:
Explanation
Currently you can request to increase the limit on users per AWS account, groups per AWS account, roles per AWS account, instance profiles per AWS account, and server certificates per AWS account.
This never states "groups a user can be in"

NEW QUESTION: 3

A. mobility group
B. mobility oracle
C. mobility agent
D. mobility controller
Answer: B
Explanation:
Explanation
https://www.ciscoxonVc/en/usMdocs/wireless/controller/8-4/config-guide/b_cg84/configuring_ne

NEW QUESTION: 4
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. 機械学習コンピューティング
B. Azure Kubernetesサービス
C. Azureコンテナーインスタンス
D. フィールドプログラマブルゲートアレイ
Answer: B
Explanation:
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