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NEW QUESTION: 1
Which statement about routing protocols is true?
A. Distance-vector routing protocols use the Shortest Path First algorithm.
B. OSPF is a link-state routing protocol.
C. IS-IS is a distance-vector routing protocol.
D. Link-state routing protocols choose a path by the number of hops to the destination.
Answer: D
Explanation:
Link State Routing Protocols
Link state protocols are also called shortest-path-first protocols. Link state routing protocols have a complete picture of the network topology. Hence they know more about the whole network than any distance vector protocol.
Three separate tables are created on each link state routing enabled router. One table is used to hold details about directly connected neighbors, one is used to hold the topology of the entire internetwork and the last one is used to hold the actual routing table.
Link state protocols send information about directly connected links to all the routers in the network. Examples of Link state routing protocols include OSPF - Open Shortest Path
First and IS-IS - Intermediate System to Intermediate System.
There are also routing protocols that are considered to be hybrid in the sense that they use aspects of both distance vector and link state protocols. EIGRP - Enhanced Interior
Gateway Routing Protocol is one of those hybrid routing protocols.
NEW QUESTION: 2
次の組織レベルのどれで、サプライヤのビジネスパートナマスタレコードを更新する必要がありますか？
この質問には3つの正解があります。
A. クライアント
B. 購買組織
C. 植物
D. 購買グループ
E. 会社コード
Answer: B,C,E
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
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