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| Section | Objectives |
|---|---|
| Topic 1: Review and Production | - Production management
|
| Topic 2: Data Management | - Import and export operations
|
| Topic 3: Search and Analytics | - Search functionality
|
| Topic 4: Workspace Administration | - Security and permissions
|
| Topic 5: System Administration | - Instance administration
|
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NEW QUESTION # 73
What dtSearch syntax properly creates a phonic search for the word pear to return pair and pare?
Answer: A
Explanation:
The correct answer is C. #pear . Relativity's Using dtSearch syntax options documentation states that phonic searching uses the pound sign (#) in front of a word. The documentation gives the exact example that a phonic search for pear also finds pair and pare , which directly matches the question.
The other choices represent different or invalid syntax. pear* is a wildcard-based pattern, not a phonic search.
The apostrophe form is not the documented phonic operator, and $pear is not the phonic syntax in Relativity dtSearch. Therefore, the correct syntax for a phonic search returning pair and pare is #pear .
NEW QUESTION # 74
When using Simple File Upload to import new documents, what determines the Control Number?
Answer: D
Explanation:
The correct answer is C. The name of the file. Relativity's Simple File Upload documentation states that when you upload a document using this feature, Relativity imports metadata including Control Number and File Name. In the Simple File Upload workflow, there is no traditional load file that defines document identifiers the way an Import/Export document load does. The uploaded file itself is the source object for the new document record, and the question's answer choices point to the documented practical behavior that the control number comes from the uploaded file name.
The other options do not align with the Simple File Upload model. ArtifactID is a system-generated identifier, but it does not determine the Control Number. There is no document load file in this workflow, so option B is incorrect. Processing Profile settings belong to Processing workflows, not Simple File Upload, so option D is also incorrect. Relativity's replacement guidance also reinforces the centrality of Control Number in this workflow by stating that you cannot upload a document that shares a Control Number with a document already in Relativity unless you use the replacement workflow. That behavior is consistent with the file name being used to derive the incoming document's control number in Simple File Upload.
NEW QUESTION # 75
What is true when importing a LEF or .XMEF bundled transcript file from the Document object?
Answer: C
Explanation:
The correct answer is D. Existing links to exhibits in the transcript are visible once completed. Relativity' s official Transcripts documentation states that supported bundle file types include .lef and .xmef . When a bundle is uploaded, Relativity extracts the transcript file and displays the extra files as exhibits. The documentation further states that existing links to exhibits in transcript files will be visible in the Viewer once they are uploaded to Relativity . That is a direct match to option D.
This makes the other options incorrect. Bundled transcript files are explicitly supported, so option A is wrong.
Exhibits do not need to be manually linked in the way described by option B when the transcript already contains those links; Relativity preserves and displays existing links. Option C is also incorrect because the documentation explains that the bundle upload process extracts the transcript and surfaces the additional files as exhibits, rather than requiring administrators to parse and upload them separately. From a case administration standpoint, this is useful because it streamlines transcript management and preserves exhibit relationships during import. Therefore, when importing LEF or XMEF bundled transcript files from the Document object, the true statement is that existing links to exhibits are visible once the upload is completed .
NEW QUESTION # 76
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: A
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 # 77
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: A
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 # 78
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