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| Section | Objectives |
|---|---|
| Search and Analytics | - Search functionality
|
| Review and Production | - Document review workflows
|
| System Administration | - Application management
|
| Data Management | - Import and export operations
|
| Workspace Administration | - Security and permissions
|
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NEW QUESTION # 12
What production numbering should be used when reproducing documents with the same Bates numbering?
Answer: A
Explanation:
The correct answer is D. Existing production numbering . Relativity's official production set documentation states that Existing production numbering should be selected when you want to re-use the Bates numbering fields from a previously run production set . This is the exact numbering option designed for scenarios where documents are being reproduced but must retain the same Bates values from an earlier production. Relativity further explains that this option is appropriate when you need to change the produced images, produce only a subset of documents from the existing production, or otherwise reissue the same produced documents while preserving the prior numbering.
This aligns directly with re-production workflows. Relativity's re-production documentation also notes that re- production jobs reuse the numbering format and Bates numbers from the original productions , reinforcing that the platform supports maintaining the original numbering scheme instead of assigning new Bates values. That is critical in litigation workflows where Bates continuity must be preserved for references in correspondence, court filings, and prior productions. The other options do not fit this requirement. Page level numbering and document field numbering generate or rely on other numbering methods, while original image numbering is not the production numbering choice used for preserving prior Bates values in a re- production. Therefore, when reproducing documents and keeping the same Bates numbering, the correct production numbering method is Existing production numbering .
NEW QUESTION # 13
With email thread visualization ETV, under what conditions does the red exclamation point indicate coding mismatch?
Answer: D
Explanation:
The correct answer is C. The email and other parent emails in the thread are coded differently. Relativity' s Email thread visualization documentation explains the meaning of the visual warning icons used in the thread display. The red exclamation point is associated with a coding mismatch condition in the thread. In practice, this means related parent emails in the thread have been coded inconsistently, which is exactly the kind of review inconsistency ETV is designed to expose.
This is different from missing attachments, duplicate spare comparison, or a generic "Needs Review" state.
ETV is focused on surfacing thread relationships, inclusiveness, missing emails, and coding consistency across the email conversation. From a Structured Analytics standpoint, the red exclamation point is a QC indicator that reviewers should inspect the thread because coding decisions across parent emails do not align.
Therefore, the correct answer is C .
NEW QUESTION # 14
You need to create a saved search of all documents containing the term apple that do not contain the term magazine. What dtSearch string would successfully return these documents?
Answer: C
Explanation:
The correct answer is A. NOT magazine AND apple . Relativity's dtSearch syntax documentation confirms that dtSearch supports the Boolean operators AND, OR, and NOT and uses them to connect multiple terms in a single search expression. To return only documents that contain apple while excluding those that contain magazine , the query must require the presence of apple and exclude magazine in the same Boolean expression. Option A does exactly that.
Option B is not correct because Apple NOT magazine is missing the required Boolean connector before NOT
. Relativity's dtSearch guidance and related syntax behavior show that NOT is used as part of a Boolean expression, not as a standalone middle operator without AND or OR. Option C is incorrect because Apple OR NOT magazine would broaden the result set too much, potentially returning documents that do not contain apple at all. Option D is also incorrect because it excludes apple instead of requiring it. Therefore, the valid dtSearch string that successfully returns documents containing apple but not magazine is NOT magazine AND apple .
NEW QUESTION # 15
What operator is invalid in a text box filter?
Answer: B
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 # 16
What filter can you apply to exclude document text before it is analyzed by structured analytics?
Answer: D
Explanation:
The correct answer is D. Regular expression filter. Relativity's Structured Analytics documentation states that a Regular expression filter can be linked to a structured analytics set as an optional setting, and that it is used to clean up extracted text before analysis . The documentation further explains that this setting is implemented through a repeated content filter whose type must be Regular Expression . This directly matches the question's wording about excluding document text before analytics processing begins.
This capability is especially useful when documents contain extraneous content such as dates, URLs, page numbers, Bates numbers, standard disclaimers, or other repeated text that can interfere with email threading or textual near duplicate results. Relativity notes that the filter applies only to the field being analyzed, which is usually Extracted Text unless another field is selected. By removing this noise before the algorithm runs, administrators can improve the quality of structured analytics outcomes.
The other options are not the correct named filter for this function in Relativity's structured analytics workflow. The official setting is specifically the Regular expression filter . Therefore, the correct answer is D
.
NEW QUESTION # 17
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