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| Section | Objectives |
|---|---|
| Topic 1: Review and Production | - Document review workflows
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| Topic 2: System Administration | - Application management
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| Topic 3: Search and Analytics | - Search functionality
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| Topic 4: Workspace Administration | - Workspace creation and configuration
|
| Topic 5: Data Management | - Object and metadata management
|
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NEW QUESTION # 45
What operation does the document re-production feature support?
Answer: C
Explanation:
The correct answer is D. Replace produced images with a placeholder. Relativity's official Re-production documentation lists supported and unsupported re-production types. Among the supported types, Relativity explicitly includes Replace produced images with placeholder (I-P) .
The same documentation also explicitly lists several unsupported types that correspond to the incorrect options in this question. Relativity states that replacing a document that was produced as native only with produced images or a placeholder is unsupported, which rules out option B. It also states that replacing a document that was produced as a placeholder with another placeholder is unsupported, which rules out option C. Option A is likewise unsupported because "replace produced images with a native" is not identified as a supported re-production type. Instead, Relativity supports image-to-placeholder, placeholder-to-images, and re-producing documents with the same number of pages.
This distinction matters because re-production is tightly controlled to preserve numbering integrity and production consistency. For example, when replacing produced images with placeholders, Relativity preserves the original Bates numbering while substituting placeholder pages. From an RCA production- administration perspective, the supported operation among the listed choices is clearly Replace produced images with a placeholder . Therefore, the correct answer is D .
NEW QUESTION # 46
What filter can you apply to exclude document text before it is analyzed by structured analytics?
Answer: B
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 # 47
What problem could you identify using the Imaging Warnings tab after imaging a set of documents?
Answer: D
Explanation:
The correct answer is C. Possible cut-off content on imaged MSG or EML files. Relativity's official Imaging Warnings documentation states that the Imaging Warnings object identifies possible cut-off content on imaged MSG or EML files and stores that information. It further explains that users can review these items on the Imaging Warnings tab after imaging completes.
The other choices describe imaging failures or limitations, but they are not what the Imaging Warnings tab is specifically designed to identify. Password-protected failures and general non-imageable content are handled through other imaging or processing error mechanisms. The Imaging Warnings feature is much narrower and is specifically meant to flag the risk that content in imaged MSG or EML items may have been cut off in the rendered output. Therefore, the correct answer is C .
NEW QUESTION # 48
What operator is invalid in a text box filter?
Answer: D
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 # 49
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 # 50
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