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NEW QUESTION: 1
Azureの深層学習モデルを使用するリアルタイムのスコアリングパターンがあります。
スコアリングパターンを完了する必要があります。
何を使うべきですか？ 答えるには、適切なAzureサービスをスコアリングパターンの正しい場所にドラッグします。 各サービスは、1回、複数回、またはまったく使用されません。 コンテンツを表示するには、ペイン間で分割バットをドラッグするか、スクロールする必要がある場合があります。
注：それぞれの正しい選択には1ポイントの価値があります。

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

NEW QUESTION: 2

A. Option C
B. Option A
C. Option B
D. Option D
Answer: A

NEW QUESTION: 3
A new video solution is being adopted more slowly than the business needs it to be. Which phase/activity most likely caused this issue?
A. It is a standard, corporate application.
B. Only Senior management was involved in designing and testing.
C. It is free, so departments have no stake in its success.
D. It requires the same password criteria as other systems.
Answer: B