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NEW QUESTION: 1
Before installing new wireless hardware, an engineer collects information from the facility using Cisco Spectrum Expert. What three devices would be detected during this survey? (Choose three.)
A. Linksys router
B. wireless printer
C. weather radio
D. DECT phone
E. fire alarm
F. Magnavox TV
Answer: A,B,D

NEW QUESTION: 2
HOTSPOT


Answer:
Explanation:

Explanation:

Box 1. A sliding Window
Box 2: A sliding Window
With a Sliding Window, the system is asked to logically consider all possible windows of a given length and output events for cases when the content of the window actually changes
- that is, when an event entered or existed the window.

NEW QUESTION: 3
クリーニングが必要な生のデータセットを分析しています。
Azure Machine Learning Studioを使用して、変換と操作を実行する必要があります。
変換を実行するには、正しいモジュールを識別する必要があります。
どのモジュールを選択する必要がありますか？答えるには、適切なモジュールを正しいシナリオにドラッグします。各モジュールは、1回、複数回使用することも、まったく使用しないこともできます。
コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Clean Missing Data
Box 2: SMOTE
Use the SMOTE module in Azure Machine Learning Studio to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
Box 3: Convert to Indicator Values
Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
Box 4: Remove Duplicate Rows
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values