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| Section | Objectives |
|---|---|
| Workspace Administration | - Workspace configuration - Permissions and security |
| Case Administration | - User and group management - Case setup and management |
| Data Management & Ingestion | - Data loading - File upload and import workflows |
| Analytics & Review Management | - Structured analytics - Review workflows |
| Productions & Outputs | - Productions setup - Export and reporting |
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NEW QUESTION # 50
Your document collection contains a subset of invoices that are being identified as textual near duplicates yet are all from different days and are of differing amounts. What setting can you toggle to see if the results can be improved?
Answer: D
Explanation:
The correct answer is A. Ignore Numbers. Relativity's near duplicate documentation explains that when Ignore Numbers is set to true, the similarity calculation considers only tokens beginning with letters, which means numbers are excluded from the similarity percentage calculation. That is directly relevant for invoice populations, because many invoices share nearly identical wording while differing mainly by dates, invoice numbers, quantities, or amounts. In a set like the one described, toggling Ignore Numbers is the setting most likely to change how those documents are grouped and help you assess whether the current near duplicate results can be improved.
The other options do not fit this use case. MD5Hash Verifier is related to hash-based duplicate validation rather than textual near duplicate tuning. Relativity Compare is a review tool for examining differences after grouping, not a setting that changes how the grouping is calculated. Auto-recognize Dates is not the structured analytics tuning option documented for this scenario. Therefore, for invoice-heavy data where numerical differences are driving questionable textual near duplicate results, the correct setting to toggle is Ignore Numbers.
NEW QUESTION # 51
How can you secure a workspace from a user?
Answer: C
Explanation:
The correct answer is A. By removing that user's security group from the workspace. In Relativity, workspace access is granted through groups , not by attaching workspace rights directly to individual users.
Relativity's official security documentation explains that you set permissions by adding groups to a workspace and configuring those group permissions there. Users then inherit access through their group memberships. As a result, the standard way to secure a workspace from a user is to remove the group that gives that user access, or remove the user from the relevant group.
The other options do not reflect how Relativity security is structured. User profile settings do not control workspace visibility in the manner described. IP-based security is not the mechanism for ordinary workspace access control in this scenario. Instance-level view security is also too narrow and does not remove the user's overall workspace access; even if certain views were restricted, the user could still potentially access the workspace through other permitted objects or tabs. From an RCA perspective, this question tests a foundational principle: workspace security is group-based . Administrators grant or revoke access by managing the relationship between groups and workspaces, then managing which users belong to those groups. Therefore, to secure a workspace from a user, the correct action is to remove the user's access- granting security group from that workspace.
NEW QUESTION # 52
When must you run a full build of a dtSearch index?
Answer: D
Explanation:
The correct answer is A. After updating fields in the searchable set. Relativity's dtSearch index documentation states that you must perform a full build when you add an additional field to the index, change any index settings, change fields of the searchable set, or overlay text on existing fields . That directly matches option A.
By contrast, Relativity documents that an incremental build is used after adding or removing documents .
That makes options B and D incorrect. "After using Swap Index" is not listed as a required trigger for a full build in the dtSearch console documentation. Therefore, the correct answer is that a full build is required after updating fields in the searchable set .
NEW QUESTION # 53
After adding a pie chart to a dashboard, what is one resulting action when you select multiple pieces of the pie?
Answer: D
Explanation:
The correct answer is C. Your selection becomes a condition added to the search panel. Relativity's Pivot and dashboard documentation explains that pie charts support multi-select, typically using Ctrl + Click , and that selecting values from charts filters the document list. Relativity's Analytics guide further states that when you select values from a chart, a filter condition is set in the Search panel corresponding to your choice .
That matches option C most directly.
Option A is not the best answer because the effect is more than a temporary highlight; Relativity applies a filter condition to the active search context. Option B is unsupported by the documentation. Option D is also incorrect because dashboard configurations are not automatically saved as new dashboards merely by interacting with chart segments; dashboards must be explicitly saved by the user. Therefore, when you select multiple pieces of a pie chart, Relativity adds that selection as a condition in the search panel , which then drives the filtered results shown in the document list and related widgets.
NEW QUESTION # 54
When exporting a saved search using Import/Export, how can you maintain the hierarchy of multiple-choice lists?
Answer: A
Explanation:
The correct answer is D. Check the box to export multiple-choice fields as nested. Relativity's official export documentation states that Export Multiple Choice Fields as Nested is the option used to maintain the hierarchy of Relativity multiple-choice lists during export. It further explains that the nested value delimiter is a backslash, which preserves the parent-child structure of those choices in the exported data.
This means the hierarchy is not lost by default if the appropriate export option is selected, so option A is incorrect. Sorting on the field does not preserve the nested hierarchy, making option B wrong. Exporting as CSV for Excel recognition is also not the documented mechanism, so option C is incorrect. From an RCA and data loading standpoint, this setting matters because exported hierarchical values often need to be re-used downstream, re-imported, or validated in a way that preserves their original structure. Without the nested export option, the relationship between parent and child values may not be represented correctly. Therefore, the proper way to maintain multiple-choice hierarchy when exporting a saved search through Import/Export is to check the box to export multiple-choice fields as nested .
NEW QUESTION # 55
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