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NEW QUESTION: 1
The configuration information of GO/0/1 interface of Router A is as follows. Which of the following statements are correct? (Multiple Choice)

A. This interface does not forward received SNMP packets.
B. This interface can establish OSPF neighbor relationships with other routers.
C. This interface does not forward ICMP packets.
D. This interface does not forward received FTP packets.
Answer: A,D

NEW QUESTION: 2
Wo müssen Internetinformationsdienste (Internet Information Services, IIS) installiert sein, um eine bereitgestellte ASP.NET-Anwendung ausführen zu können?
A. Auf dem Computer, auf dem sich die Anwendung befindet
B. auf dem Application Layer Gateway Service
C. Auf dem Computer, von dem aus Sie die Bereitstellung planen
D. auf den Client-Computern
Answer: A
Explanation:
Erläuterung:
IIS wird auf dem Webserver ausgeführt. Der Webserver hostet die Anwendung.

NEW QUESTION: 3
Azure Machine Learning Studioを使用して実験を作成しています。
評価のためにデータを4つのサブセットに分割する必要があります。データには高度な欠損値があります。
分析用のデータを準備する必要があります。
実験を作成するための適切な方法を選択する必要があります。
どの3つのモジュール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エリアに移動し、正しい順序に並べます。
注：回答の選択肢の複数の順序が正しいです。選択した正しい注文のいずれかのクレジットを受け取ります。

Answer:
Explanation:

Explanation:
The Clean Missing Data module in Azure Machine Learning Studio, to remove, replace, or infer missing values.
Incorrect Answers:
Latent Direchlet Transformation: Latent Dirichlet Allocation module in Azure Machine Learning Studio, to group otherwise unclassified text into a number of categories. Latent Dirichlet Allocation (LDA) is often used in natural language processing (NLP) to find texts that are similar. Another common term is topic modeling.
Build Counting Transform: Build Counting Transform module in Azure Machine Learning Studio, to analyze training data. From this data, the module builds a count table as well as a set of count-based features that can be used in a predictive model.
Missing Value Scrubber: The Missing Values Scrubber module is deprecated.
Feature hashing: Feature hashing is used for linguistics, and works by converting unique tokens into integers.
Replace discrete values: the Replace Discrete Values module in Azure Machine Learning Studio is used to generate a probability score that can be used to represent a discrete value. This score can be useful for understanding the information value of the discrete values.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data