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Value Methodology Associate
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- Exam Name : Value Methodology Associate
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
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NEW QUESTION: 1
A. Option A
B. Option B
C. Option C
D. Option D
Answer: C
NEW QUESTION: 2
Your network contains the subnets shown in the following table.
You have a Microsoft Exchange Server 2019 organization.
You need to prevent users in the London office from accessing the Exchange admin center (EAC).
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
References:
https://docs.microsoft.com/en-us/powershell/module/exchange/client-access/new-clientaccessrule?view=exchange-ps
NEW QUESTION: 3
The primary advantage of the Latin square design, compared to the factorial design, is that
A. It does not require homogeneity of variance.
B. In most circumstances, it requires less data.
C. It eliminates the need for interaction analysis.
D. It allows higher significance levels.
Answer: B
NEW QUESTION: 4
短い文形式で書かれた12,000件の顧客レビューを含むCSVファイルを使用して、感情分析を実行しています。 CSVファイルをAzure Machine Learning Studioに追加し、実験の開始点データセットとして構成します。テキストモジュールからのN-Gram特徴の抽出を実験に追加して、データセットの顧客レビュー列からキーフレーズを抽出します。
カスタマーレビューテキストから新しいn-gram辞書を作成し、最大n-gramサイズをtrigramsに設定する必要があります。
何を選ぶべきですか?回答するには、回答エリアで適切なオプションを選択します。
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
Vocabulary mode: Create
For Vocabulary mode, select Create to indicate that you are creating a new list of n-gram features.
N-Grams size: 3
For N-Grams size, type a number that indicates the maximum size of the n-grams to extract and store. For example, if you type 3, unigrams, bigrams, and trigrams will be created.
Weighting function: Leave blank
The option, Weighting function, is required only if you merge or update vocabularies. It specifies how terms in the two vocabularies and their scores should be weighted against each other.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/extract-n-gram-features-from-