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NEW QUESTION: 1
You are developing an Azure Function that will be triggered using a webhook from an external application.
The Azure Function will receive JSON data in the body of the request.
Calling applications send an account ID as part of the URL. The number at the end of the URL is an integer.
The format for the URL resembles the following: /api/account/1
The Azure Function must accept all incoming requests without requiring keys or tokens.
You need to complete the attributes for the Azure Function.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

NEW QUESTION: 2
Ein Techniker weist den IP-Adressraum zu, der für ein neues Remote-Büro benötigt wird. Dieses Büro wird das technische Personal mit sechs Mitarbeitern und das Personal für digitales Marketing mit 55 Mitarbeitern umfassen. Der Techniker hat beschlossen, den Block 192.168.1.0/24 der Außenstelle zuzuweisen.
Dem technischen Personal wurde das Subnetz 192.168.1.64/29 zugewiesen. Welche der folgenden IP-Adressen ist unter Verwendung des WENIGSTEN verfügbaren Speicherplatzes die letzte verwendbare IP-Adresse im Engineering-Subnetz?
A. 192.168.1.62
B. 192.168.1.71
C. 192.168.1.70
D. 192.168.1.63
Answer: C

NEW QUESTION: 3
会社のソリューションを設計しています。このソリューションでは、客観的な分類にモデルトレーニングを使用します。
ソリューションを設計する必要があります。
何をお勧めしますか？
A. インタラクティブなSparkクエリ
B. Power BIモデル
C. Spark MLibを使用するSparkアプリケーション。
D. Azure Cognitive Servicesアプリケーション
E. Spark Streamingジョブ
Answer: C
Explanation:
Explanation
Spark in SQL Server big data cluster enables AI and machine learning.
You can use Apache Spark MLlib to create a machine learning application to do simple predictive analysis on an open dataset.
MLlib is a core Spark library that provides many utilities useful for machine learning tasks, including utilities that are suitable for:
* Classification
* Regression
* Clustering
* Topic modeling
* Singular value decomposition (SVD) and principal component analysis (PCA)
* Hypothesis testing and calculating sample statistics
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-machine-learning-mllib-ipython