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NEW QUESTION: 1
CPUベースのコンピューティングクラスターとAzureKubernetes Services（AKS）推論クラスターを含むAzure MachineLearningワークスペースがあります。分類モデルの作成に使用する予定のデータを含む表形式のデータセットを作成します。
Azure Machine Learningデザイナーを使用して、クライアントアプリケーションが新しいデータを送信し、応答として即時予測を取得することで分類モデルを利用できるWebサービスを作成する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序で配置します。

Answer:
Explanation:

Explanation:
Step 1: Create and start a Compute Instance
To train and deploy models using Azure Machine Learning designer, you need compute on which to run the training process, test the model, and host the model in a deployed service.
There are four kinds of compute resource you can create:
Compute Instances: Development workstations that data scientists can use to work with data and models.
Compute Clusters: Scalable clusters of virtual machines for on-demand processing of experiment code.
Inference Clusters: Deployment targets for predictive services that use your trained models.
Attached Compute: Links to existing Azure compute resources, such as Virtual Machines or Azure Databricks clusters.
Step 2: Create and run a training pipeline..
After you've used data transformations to prepare the data, you can use it to train a machine learning model. Create and run a training pipeline Step 3: Create and run a real-time inference pipeline After creating and running a pipeline to train the model, you need a second pipeline that performs the same data transformations for new data, and then uses the trained model to inference (in other words, predict) label values based on its features. This pipeline will form the basis for a predictive service that you can publish for applications to use.
Reference:
https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/

NEW QUESTION: 2
A customer is planning for deployment of a new Storwize V7000 and has identified interest in leveraging EC0E and 10 GbE.
Identify one requirement that will be part of the configuration setup and should be reviewed with the customer.
A. Connect 10 GbE ports on Storwize V7000 only to the CEE network that supports the DCBX protocol (802.1QBG).
B. Inter node communication between two FCOE ports in the same I/O group should not cross ISL5.
C. Each Storwize V7000 10 GbE FCoE port should have at least two paths to all other Storwize V7000 nodes that are part of the same clustered system.
D. Ensure that FC0E switch to which the 10 GbE ports are connected is configured in NPV mode.
Answer: B

NEW QUESTION: 3
A company is running an ecommerce application hosted in Europe. To decrease latency for users who access the website from other parts of the world, the company would like to cache frequently accessed static content closer to the users Which AWS service will support these requirements?
A. Amazon Elastic File System (Amazon EFS)
B. Amazon CloudFront
C. Amazon Elastic Block Store (Amazon EBS)
D. Amazon ElastiCache
Answer: A