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NEW QUESTION: 1
What is variable-length structure called? Please choose the correct answer.
A. Flat structure
B. Nested link structure
C. Link structure
D. Nested structure
Answer: D

NEW QUESTION: 2
Before the headers are sent, how can you remove a previously set header?
A. Not possible
B. Use the headers_list() function, providing the name of the header as the second argument
C. Use the die() function to abort the PHP script
D. Use the header_remove() function, providing the name of the header
Answer: D

NEW QUESTION: 3
Azure Machine Learning Designerを使用して、機械学習モデルを作成します。モデルをAzureKubernetes Service（AKS）推論コンピューティングクラスターでリアルタイムサービスとして公開します。デプロイされたエンドポイント構成に変更を加えることはありません。
アプリケーション開発者に、エンドポイントを使用するために必要な情報を提供する必要があります。
アプリケーション開発者に提供する必要がある2つの値はどれですか？それぞれの正解は、解決策の一部を示しています。
注：正しい選択はそれぞれ1ポイントの価値があります。
A. エンドポイントの推論パイプライン実験の実行ID。
B. エンドポイントの推論パイプラインの名前。
C. エンドポイントがホストされているAKSクラスターの名前。
D. エンドポイントのキー。
E. エンドポイントのURL。
Answer: D,E
Explanation:
Deploying an Azure Machine Learning model as a web service creates a REST API endpoint. You can send data to this endpoint and receive the prediction returned by the model.
You create a web service when you deploy a model to your local environment, Azure Container Instances, Azure Kubernetes Service, or field-programmable gate arrays (FPGA). You retrieve the URI used to access the web service by using the Azure Machine Learning SDK. If authentication is enabled, you can also use the SDK to get the authentication keys or tokens.
Example:
# URL for the web service
scoring_uri = '<your web service URI>'
# If the service is authenticated, set the key or token
key = '<your key or token>'
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-consume-web-service