RELATIVITY REVIEW MANAGEMENT
COMPLETE QUESTIONS AND ANSWERS
GRADED A+
◉ Which of the following conditions should you select to Textual
Near Duplicates view to include duplicates but exclude files that
contain no text? (Select All That Apply)
a. SAS01: Textual Near Duplicate Group : is set
b. SAS01: Textual Near Duplicate Group : is not - empty
c. SAS01: Textual Near Duplicate Principal is Yes
d. SAS01: Textual Near Duplicate Similarity > 0
Answer: a. SAS01: Textual Near Duplicate Group : is set
b. SAS01: Textual Near Duplicate Group : is not - empty
◉ Which of the following fields are related to configuring the
Textual Near Duplicates view to list the textual near duplicate
principals with the highest percentage of textual near duplicate
similarity for a specific structured analytics set at the top of the
screen? (Select All That Apply)
a. SAS01::Textual Near Duplicate Group - Ascending
b. SAS01::Textual Near Duplicate Principal - Ascending
c. SAS01::Textual Near Duplicate Similarity - Descending
d. SAS01:: Textual Near Duplicate Group - Descending
,Answer: a. SAS01::Textual Near Duplicate Group - Ascending
c. SAS01::Textual Near Duplicate Similarity - Descending
◉ The Textual Near Duplicates Summary contains which of the
following statistics? (Select All That Apply)
a. Average Similarity
b. Number of Textual Near Duplicate Principals
c. Average number of documents per group
d. Number of Textual Near Duplicate groups
Answer: a. Average Similarity
c. Average number of documents per group
d. Number of Textual Near Duplicate groups
◉ Name normalization limits the number of aliases assigned to a
single entity. True/False.
Answer: True - this is to prevent over merging.
◉ Name Normalization parses email header data by looking for
semi-colon delimiters to identify multiple aliases. True/False.
Answer: True, each unique alias is stored and matched with an
unnamed entity.
◉ In order to run name normalization, you must have at least a
From field and one other email header field such as To, CC, BCC,
Subject, or Date Sent. True/False.
, Answer: True. If these fields do not exist, name normalization will
attempt to analyze the extracted text and locate a From field
within it.
◉ What analytics needs to be run so that you will not get an error
message when add the Communication Analysis widget to your
dashboard?
a. Email Threading
b. Communication Analysis
c. Name Normalization
d. Textual Near Duplicate Identification
Answer: c. Name Normalization
◉ What are the options to view Clusters?
a. Circle Pack
b. Dial Visualization
c. Nearby Clusters
d. Cluster Wheel
Answer: a. Circle Pack
b. Dial Visualization
c. Nearby Clusters
◉ You can run a concept search from the document viewer.
True/False
COMPLETE QUESTIONS AND ANSWERS
GRADED A+
◉ Which of the following conditions should you select to Textual
Near Duplicates view to include duplicates but exclude files that
contain no text? (Select All That Apply)
a. SAS01: Textual Near Duplicate Group : is set
b. SAS01: Textual Near Duplicate Group : is not - empty
c. SAS01: Textual Near Duplicate Principal is Yes
d. SAS01: Textual Near Duplicate Similarity > 0
Answer: a. SAS01: Textual Near Duplicate Group : is set
b. SAS01: Textual Near Duplicate Group : is not - empty
◉ Which of the following fields are related to configuring the
Textual Near Duplicates view to list the textual near duplicate
principals with the highest percentage of textual near duplicate
similarity for a specific structured analytics set at the top of the
screen? (Select All That Apply)
a. SAS01::Textual Near Duplicate Group - Ascending
b. SAS01::Textual Near Duplicate Principal - Ascending
c. SAS01::Textual Near Duplicate Similarity - Descending
d. SAS01:: Textual Near Duplicate Group - Descending
,Answer: a. SAS01::Textual Near Duplicate Group - Ascending
c. SAS01::Textual Near Duplicate Similarity - Descending
◉ The Textual Near Duplicates Summary contains which of the
following statistics? (Select All That Apply)
a. Average Similarity
b. Number of Textual Near Duplicate Principals
c. Average number of documents per group
d. Number of Textual Near Duplicate groups
Answer: a. Average Similarity
c. Average number of documents per group
d. Number of Textual Near Duplicate groups
◉ Name normalization limits the number of aliases assigned to a
single entity. True/False.
Answer: True - this is to prevent over merging.
◉ Name Normalization parses email header data by looking for
semi-colon delimiters to identify multiple aliases. True/False.
Answer: True, each unique alias is stored and matched with an
unnamed entity.
◉ In order to run name normalization, you must have at least a
From field and one other email header field such as To, CC, BCC,
Subject, or Date Sent. True/False.
, Answer: True. If these fields do not exist, name normalization will
attempt to analyze the extracted text and locate a From field
within it.
◉ What analytics needs to be run so that you will not get an error
message when add the Communication Analysis widget to your
dashboard?
a. Email Threading
b. Communication Analysis
c. Name Normalization
d. Textual Near Duplicate Identification
Answer: c. Name Normalization
◉ What are the options to view Clusters?
a. Circle Pack
b. Dial Visualization
c. Nearby Clusters
d. Cluster Wheel
Answer: a. Circle Pack
b. Dial Visualization
c. Nearby Clusters
◉ You can run a concept search from the document viewer.
True/False
