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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data In and Out | 10-15% | - Data Import
|
| Topic 2: Data Manipulation and Interaction | 25-30% | - Mass Operations and Tools
|
| Topic 3: Setup and Management | 30-35% | - Security and Permissions
|
| Topic 4: Search and Analytics | 20-25% | - Structured Analytics and AI
|
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NEW QUESTION # 26
You loaded a third-party production of native files, and the case team would like a field that provides the file size for each of the files received. What is the most efficient way to populate information for your native files?
Answer: D
NEW QUESTION # 27
What operator is invalid in a text box filter?
Answer: C
Explanation:
The correct answer is D. NOT . Relativity's Filters documentation for text box filters lists the valid operators as AND, OR, IS SET, IS NOT SET, BETWEEN, =, > =, and < = . Since NOT does not appear in that valid operator list, it is the invalid choice among the options provided.
This is a useful distinction because Relativity supports NOT in some other search contexts, such as dtSearch or advanced filtering patterns, but the question asks specifically about a text box filter operator. In that exact context, AND , IS SET , and > = are valid, while NOT is not. Therefore, the invalid operator for a text box filter is NOT .
NEW QUESTION # 28
You grant the permissions below so that a reviewer on your team can begin creating and running aiR for Review projects. What problem will this reviewer encounter when attempting to analyze documents using aiR for Review?
Object Security:
* aiR for Review Project: View, Edit, Add
* aiR for Review Prompt Criteria: View, Edit, Add
Tab Visibility:
* aiR for Review Projects
Answer: D
Explanation:
The correct answer is A . Relativity's official aiR for Review permissions documentation states that to create and run an aiR for Review project, a user needs object permissions for aiR for Review Project and aiR for Review Prompt Criteria , tab visibility for aiR for Review Projects , and the Run aiR for Review Job permission under Other Settings. The documentation also explicitly states that a user can run the job without permissions for the analysis types, but will not be able to see the results . The analysis-type objects listed by Relativity are aiR Relevance Analysis , aiR Issue Analysis , aiR Key Analysis , and aiR Summaries .
That is exactly the problem in this scenario: the reviewer has enough permissions to create the project shell and prompt criteria, but no permissions were granted for the analysis result objects themselves. As a result, they can initiate work but will not be able to see the analysis results. Option B is incorrect because Viewer highlighting also depends on having analysis-type view permissions. Option C is incorrect because instance- level jobs visibility is a separate permission model. Option D is also incorrect because the provided permissions already include the aiR for Review Projects tab, and the missing issue is not dashboard tab access but the lack of object security for the individual analysis result types . Therefore, the reviewer's main issue is that they will not be able to view any aiR for Review results without the required analysis- type object permissions .
NEW QUESTION # 29
After review started, you realize the fixed-length text field you created should have been a long text field.
What is the fastest, most efficient way to populate the new long text field with the values from the fixed- length text field?
Answer: D
Explanation:
The correct answer is D. Use Mass Replace to update the long text field with the fixed-length text field values. Relativity's mass operations documentation explains that Mass Replace can be used not only to replace text with static content, but also for field-to-field operations. Specifically, the official examples include copying the contents of one text field to another and merging the values of a source field with the values of a target field . That directly fits this scenario, where the administrator needs to populate a newly created long text field with the existing values stored in a fixed-length text field across many documents.
The other options are less efficient or not aligned with standard Relativity functionality. Manual updates would be extremely slow and error-prone in an active review. Exporting and then overlaying values would create unnecessary extra steps and administrative overhead. Option B refers to Mass Merge , but in Relativity documentation the Merge mass operation is associated with Analytics entity handling, not with copying document text values between fields. For document field content migration, Mass Replace is the documented bulk-update tool. Because this question focuses on the fastest and most efficient administrative correction after review has started, the best practice is to create the correct long text field and then use Mass Replace to populate it from the original fixed-length text field.
NEW QUESTION # 30
What tool can you use to assess the differences within a textual near duplicate group?
Answer: D
Explanation:
The correct answer is A. Relativity Compare . Relativity's official documentation on using near duplicate analysis in review states that the Relativity Compare function can compare two documents to assess their similarities and differences . This is the exact activity described in the question and is directly relevant to working within a textual near duplicate group, where reviewers often need to determine how one member differs from the principal document or from another near duplicate in the set.
The other options do not match that purpose. Image QC is used for image quality control workflows, not for textual comparison of document content. Document View Overlay is not the standard Relativity tool documented for assessing textual differences between near duplicates. Similar Documents View helps surface conceptually or textually related material, but it is not the dedicated side-by-side comparison tool Relativity identifies for evaluating differences. From a Structured Analytics perspective, this distinction matters because near duplicate analysis groups similar records together, but the actual determination of differences between two specific documents is handled through the comparison function. Therefore, when assessing differences within a textual near duplicate group, the correct tool is Relativity Compare .
NEW QUESTION # 31
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