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NEW QUESTION: 1
An order on a 3 kilogram critically ill neonate's chart reads as follows: give digoxin (Lanoxin) 0.50 mg NG
daily. Which of the following nursing actions is appropriate in relation to the prescribed order?
A. Carry out the order as written
B. Hold the drug until a serum digoxin level is obtained
C. Question the physician about the order
D. Give the drug after checking the apical pulse and potassium level
Answer: C
Explanation:
The nursing action that is appropriate in relation to the prescribed order is to question the
physician about the order. Infants and newborn patients rarely receive more than 1 mL or 50 mcg or 0.05
mg in one dose. A high dose is an immediate warning of a dosage error.
NEW QUESTION: 2
複数のカルチャをサポートするアプリケーションを開発しています。
アプリケーションは、ローカライズされたコンテンツをサテライトアセンブリに格納する必要があります。
サテライトアセンブリを構築する必要があります。どのツールを使用する必要がありますか？
A. Ildasm.exe
B. Gacutil.exe
C. Al.exe
D. Ilasm.exe
Answer: C
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