Relativity Analytics 9.6 Exam
Questions and Answers 100% Pass
Structured Analytics - ✔✔Email Threading, Near dupe Identification, Language ID,
Repeated Content filters
Conceptual Analytics - ✔✔Uses LSI (Latent Semantic Indexing) or Support Vector
Machine (for Active learning)
Concept Rank - ✔✔The concept rank is an indication of distance between two items. In
the Categorization feature, it
indicates the distance between the example document and the resulting document. In
Keyword
Expansion, it indicates the distance between the two words. The rank does not indicate
a percentage
of relevance.
SVM - ✔✔Support Vector Machine Learning
Active Learning - ✔✔Uses SVM and Analytics Index requires no Training Set
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,LSI (latent symantec index) - ✔✔Requires a Training Set
Rank - ✔✔Rank measures the strength or confidence the model has in a document
being relevant or not
relevant
Analytics Profiles - ✔✔Analytics profiles apply to email threading Structured Analytics
sets only.
Mapping email fields - ✔✔used in creating an Anaytics Profile for email threading in
Structured Analytics
Analytics Profiles update - ✔✔Note: As of Relativity 9.5.196.102, Analytics profiles are
now only used for email threading Structured
Analytics sets and are no longer used by Analytics indexes. Dimensions, Concept Stop
Words, Email header
filter, Go Words filter, and OCR filter properties were moved to the Analytics index.
4 Steps to Create an Analytics Profile (plus optional step) - ✔✔From the Indexing &
Analytics tab, select Analytics Profiles. A list of existing Analytics profiles dis-
plays.
2. To create a new profile, click New Analytics Profile. The Analytics Profile Layout
appears.
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,3. Complete or edit the fields on the layout. See Fields below. Fields in orange are
required.
4. (Optional) Select email field mappings to run email threading in a Structured
Analytics set. See Email
Threading Settings below.
5. Click Save to save the profile and make it available for selection.
Parent Document ID - ✔✔This is the only required field when creating an Analytics
profile
Artifact ID - ✔✔This value should not be used in the Parent Document ID field for an
Analytics profile
Analytics Categorization sets
Clustering
Concept searching
Keyword expansion
Find similar documents - ✔✔The 5 processes that can be run using a conceptual
analytics index
Searchable set - ✔✔What set of documents are the only documents returned when you
run clustering, categorization, or any other Analytics feature.
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, 30 - ✔✔When creating a searchable set, you should exclude documents that are larger
than how many MB?
Automatically remove English email signatures and footers field - ✔✔When creating a
conceptual index, documents with more than 30 MB of extracted text are automatically
excluded when this setting is chosen
2 - ✔✔This many fields can be returned in a searchable set saved search
Extracted text and any other authored content long text field (OCR, Translation, etc.) -
✔✔These fields are most commonly returned in a searchable set saved search
Compressed files
System files
Excel files with mostly numbers
Image files
CAD drawings
Maps - ✔✔Consider excluding these 6 file types from the searchable set for a conceptual
index:
Default training set or All documents in workspace options - ✔✔These 2 options are not
available when using data grid to build your searchable set
100% Pass Guarantee Sophia Bennett, All Rights Reserved © 2025 4
Questions and Answers 100% Pass
Structured Analytics - ✔✔Email Threading, Near dupe Identification, Language ID,
Repeated Content filters
Conceptual Analytics - ✔✔Uses LSI (Latent Semantic Indexing) or Support Vector
Machine (for Active learning)
Concept Rank - ✔✔The concept rank is an indication of distance between two items. In
the Categorization feature, it
indicates the distance between the example document and the resulting document. In
Keyword
Expansion, it indicates the distance between the two words. The rank does not indicate
a percentage
of relevance.
SVM - ✔✔Support Vector Machine Learning
Active Learning - ✔✔Uses SVM and Analytics Index requires no Training Set
100% Pass Guarantee Sophia Bennett, All Rights Reserved © 2025 1
,LSI (latent symantec index) - ✔✔Requires a Training Set
Rank - ✔✔Rank measures the strength or confidence the model has in a document
being relevant or not
relevant
Analytics Profiles - ✔✔Analytics profiles apply to email threading Structured Analytics
sets only.
Mapping email fields - ✔✔used in creating an Anaytics Profile for email threading in
Structured Analytics
Analytics Profiles update - ✔✔Note: As of Relativity 9.5.196.102, Analytics profiles are
now only used for email threading Structured
Analytics sets and are no longer used by Analytics indexes. Dimensions, Concept Stop
Words, Email header
filter, Go Words filter, and OCR filter properties were moved to the Analytics index.
4 Steps to Create an Analytics Profile (plus optional step) - ✔✔From the Indexing &
Analytics tab, select Analytics Profiles. A list of existing Analytics profiles dis-
plays.
2. To create a new profile, click New Analytics Profile. The Analytics Profile Layout
appears.
100% Pass Guarantee Sophia Bennett, All Rights Reserved © 2025 2
,3. Complete or edit the fields on the layout. See Fields below. Fields in orange are
required.
4. (Optional) Select email field mappings to run email threading in a Structured
Analytics set. See Email
Threading Settings below.
5. Click Save to save the profile and make it available for selection.
Parent Document ID - ✔✔This is the only required field when creating an Analytics
profile
Artifact ID - ✔✔This value should not be used in the Parent Document ID field for an
Analytics profile
Analytics Categorization sets
Clustering
Concept searching
Keyword expansion
Find similar documents - ✔✔The 5 processes that can be run using a conceptual
analytics index
Searchable set - ✔✔What set of documents are the only documents returned when you
run clustering, categorization, or any other Analytics feature.
100% Pass Guarantee Sophia Bennett, All Rights Reserved © 2025 3
, 30 - ✔✔When creating a searchable set, you should exclude documents that are larger
than how many MB?
Automatically remove English email signatures and footers field - ✔✔When creating a
conceptual index, documents with more than 30 MB of extracted text are automatically
excluded when this setting is chosen
2 - ✔✔This many fields can be returned in a searchable set saved search
Extracted text and any other authored content long text field (OCR, Translation, etc.) -
✔✔These fields are most commonly returned in a searchable set saved search
Compressed files
System files
Excel files with mostly numbers
Image files
CAD drawings
Maps - ✔✔Consider excluding these 6 file types from the searchable set for a conceptual
index:
Default training set or All documents in workspace options - ✔✔These 2 options are not
available when using data grid to build your searchable set
100% Pass Guarantee Sophia Bennett, All Rights Reserved © 2025 4
