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NEW QUESTION: 1
通常、何か新しいものを作る必要はないと言っている指導原則はどれですか？
A. 価値に焦点を合わせる
B. 全体的に考えて作業する
C. フィードバックを繰り返して進行する
D. あなたがいるところから始めましょう
Answer: D
NEW QUESTION: 2
Click the Exhibit button.
Given the user-defined function shown in the exhibit, what will the function return if invoked using the statement shown below?
SELECT check_id(1) FROM SYSIBM.SYSDUMMY1
A. Application Error
B. NULL
C. Error: ID 1 is not valid
D. SQLSTATE 80000 will be returned, with the custom error message "Error: ID 1 is not valid"
Answer: B
NEW QUESTION: 3
Azure Container Instanceにモデルをデプロイします。
モデルAPIを呼び出すには、Azure Machine Learning SDKを使用する必要があります。
ネイティブSDKクラスおよびメソッドを使用して、デプロイされたモデルを呼び出す必要があります。
コマンドをどのように完了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: from azureml.core.webservice import Webservice
The following code shows how to use the SDK to update the model, environment, and entry script for a web service to Azure Container Instances:
from azureml.core import Environment
from azureml.core.webservice import Webservice
from azureml.core.model import Model, InferenceConfig
Box 2: predictions = service.run(input_json)
Example: The following code demonstrates sending data to the service:
import json
test_sample = json.dumps({'data': [
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]
]})
test_sample = bytes(test_sample, encoding='utf8')
prediction = service.run(input_data=test_sample)
print(prediction)
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/how-to-deploy-azure-container-instance
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-deployment