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NEW QUESTION: 1
顧客のアジェンダを決定し、新しいHPE / Aruba展開への期待を明確にするとき、利害関係者のチェックリストで尋ねられるべき2つの質問はどれですか? (2つ選択してください。)
A. 解決しようとしているビジネス上の問題は何ですか?
B. オンサイト担当者のネットワーキング経験は何ですか?
C. どのヘルプデスクシステムが展開されていますか?
D. 予想される環境の成長はどのくらいですか?
E. 提案依頼書または実際の部品表(BOM)は必要ですか?
Answer: A,E

NEW QUESTION: 2
You install a new Nano Server named Nano1. Nano1 is a member of a workgroup and has an IP address of
192.168.1.10.
You have a server named Server1 that runs Windows Server 2016.
From Server1, you need to establish a Windows PowerShell session to Nano1.
How should you complete the PowerShell script? To answer, drag the appropriate cmdlets to the correct targets. Each cmdlet 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:

Explanation

How to access Nano Server
Because Nano Server does not support a local session, it must be accessed remotely.
References: https://msdn.microsoft.com/en-us/library/mt708805(v=vs.85).aspx

NEW QUESTION: 3
You plan to preprocess text from CSV files. You load the Azure Machine Learning Studio default stop words list.
You need to configure the Preprocess Text module to meet the following requirements:
* Ensure that multiple related words from a single canonical form.
* Remove pipe characters from text.
* Remove words to optimize information retrieval.
Which three options should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Remove stop words
Remove words to optimize information retrieval.
Remove stop words: Select this option if you want to apply a predefined stopword list to the text column. Stop word removal is performed before any other processes.
Box 2: Lemmatization
Ensure that multiple related words from a single canonical form.
Lemmatization converts multiple related words to a single canonical form Box 3: Remove special characters Remove special characters: Use this option to replace any non-alphanumeric special characters with the pipe | character.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/preprocess-text