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NEW QUESTION: 1
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

NEW QUESTION: 2
Which of the following events would MOST likely trigger communications to the largest audience for a given organization?
A. Completion of a task
B. Business continuity response
C. Quality audit
D. Replacement of a subcontractor
Answer: B

NEW QUESTION: 3
DRAG DROP
You develop a provider-hosted SharePoint app that retrieves and displays news headlines from an external site named News. The site contains lists of news headlines from many news sources.
You need to create a Representational State Transfer (REST) endpoint URL in the app to retrieve hourly headlines from the site for a specific news source.
You have the following code:

Which code segments should you include in Target 1, Target 2, Target 3 and Target 4 to complete the code? (To answer, drag the appropriate term to the correct targets in the answer area. Each term may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.)

Answer:
Explanation:

NEW QUESTION: 4
あなたの会社は、Webサイトのセッションデータを含むデータベースを設計しています。データには、通知、パーソナライズ属性、およびショッピングカートに追加された製品が含まれます。
どのタイプのデータストアがデータを取得するための最小のレイテンシーを提供しますか？
A. ドキュメント
B. キー/値
C. グラフ
D. 柱状
Answer: D
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/analytical-data-stores