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NEW QUESTION: 1
法医学データ分析フェーズで実行される手順は次のうちどれですか？
A. 既知のシステムファイルを収集します
B. 削除されたデータを回復します。
C. ファイルリストの作成
D. 関連する文字列を検索します。
Answer: D

NEW QUESTION: 2
You deploy a website to Azure. When the website starts, it loads and caches common data.
Updates to the website must occur without downtime or performance degradation that is noticeable to users.
You need to upgrade to a new version of website code.
What should you do?

A. Option B
B. Option A
C. Option D
D. Option C
Answer: A

NEW QUESTION: 3
When servicing devices with embedded batteries, your primary concern should be for your own safety and those around you.
Which of the following considerations are workstation requirements when servicing these devices? (Choose two.)
A. Keep combustible materials away from the work area.
B. Keep paper at least 1 feet (0.3m) away.
C. Keep 8 to 10 cups of water within arms reach.
D. Ensure there is a water or an ABC/CO2fire extinguisher nearby.
E. Always wear safety glasses when performing repair work.
Answer: A,E

NEW QUESTION: 4
You are analyzing a raw dataset that requires cleaning.
You must perform transformations and manipulations by using Azure Machine Learning Studio.
You need to identify the correct modules to perform the transformations.
Which modules should you choose? To answer, drag the appropriate modules to the correct scenarios. Each module 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.
NOTE: Each correct selection is worth one point.

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