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NEW QUESTION: 1
Refer to the exhibit. The network administrator is trying to configure mutual redistribution between EIGRP and OSPF. Autosummarization in EIGRP 100 AS is disabled. After adding OSPF configuration to router B1, the network administrator checked the routing table of router B2, but none of the EIGRP routes appeared there. To redistribute the EIGRP AS 100 routes into OSPF, which command should be added, or edited, on router B1 under router ospf 10?
A. redistribute eigrp 100 subnets
B. redistribute eigrp 100 metric-type 1
C. no auto-summary 10.0.0.0 255.0.0.0
D. area 0 range 10.10.0.0 255.255.0.0
Answer: A
NEW QUESTION: 2
A regional retail company plans to open 50 additional stores during the next 2 years. The company hires a services organization to install satellite locations. However the company has limited staff to manage these additional locations. With whom should you conduct an ease of management value proposition discussion at this retail company?
A. IT Manager
B. CIO
C. Store Manager
D. Application Owner
Answer: B
NEW QUESTION: 3
A. Service Catalog
B. Self-Service Portal
C. Provider vDC
D. vCloud APIs
Answer: D
Explanation:
Reference:http://cloud.idglabs.net/?p=1874
NEW QUESTION: 4
CSVファイルからテキストを前処理する予定です。 Azure Machine Learning Studioのデフォルトのストップワードリストをロードします。
次の要件を満たすように、テキストの前処理モジュールを構成する必要があります。
*単一の標準形式から複数の関連する単語を確認します。
*テキストからパイプ文字を削除します。
*情報検索を最適化するために単語を削除します。
どの3つのオプションを選択する必要がありますか?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:
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