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NEW QUESTION: 1
Match the types of machine learning to the appropriate scenarios.
To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Regression
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Box 2: Classification
Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
Box 3: Clustering
Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation.
Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

NEW QUESTION: 2
Azure Cosmos DBに保存されているデータのセンチメント分析を実行するアプリケーションをデプロイします。
最近、大量のデータをデータベースにロードしました。データはContosoという名前の顧客のものでした。株式会社
Contosoデータのクエリの完了が遅く、クエリによってアプリケーション全体が遅くなることがわかります。
クエリの完了にかかる時間を短縮する必要があります。ソリューションはコストを最小限に抑える必要があります。
目標を達成する最良の方法は何ですか？複数の回答を選択することで目標を達成できます。 BESTアンサーを選択してください。
A. トランザクション分離レベルを変更します。
B. データをCosmos DBデータベースに移行します。
C. パーティション戦略を変更します。
D. 要求単位を変更します。
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/architecture/best-practices/data-partitioning

NEW QUESTION: 3
Which are two Automated Experience Management products or solutions that can run on customer provided servers? (Select two.)
A. Avaya Callback Assist
B. Avaya Aura@ Experience Portal
C. Avaya Media Processing Server Platform 500
Answer: A,B