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NEW QUESTION: 1
Which integration method should be used to populate an Employee List where employees can be imported as custodians for use with the Legal Hold module in the Symantec eDiscovery Platform 8.0?
A. HP IAP Discovery
B. Enterprise Vault Discovery
C. Active Directory Discovery
D. Exchange Collections
Answer: B

NEW QUESTION: 2
When working on a form, what is the difference between Insert and Update operations?
A. Insert saves changes and exits the form, Update saves changes and remains on the form
B. Insert saves changes and remains on the form, Update saves changes and exits the form
C. Insert creates a new record and Update saves changes, both remain on the form
D. Insert creates a new record and Update saves changes, both exit the form
Answer: B

NEW QUESTION: 3
Which two benefits that the Cisco Meraki MV platform gains from leveraging the cloud andedgearchitectureare true? (Choosetwo)
A. Granular, role-based access can be configured and quicklyshared with third parties (such as, law/emergency responders)
B. Instant video playback is withintheMeraki dashboard with zoom and enhanceavailability.
C. Allrecorded videofootage is stored in the Cisco Meraki cloud servers forlong term archiving
D. Integration with other cloud based physical security and access control systemsis enabled.
E. No dependences on a Network VideoRecorder system reduces complexity and OPEX/CAPEX.
Answer: A,C

NEW QUESTION: 4
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