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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Setup and Management | 30-35% | - Security and Permissions
|
| Topic 2: Search and Analytics | 20-25% | - Structured Analytics and AI
|
| Topic 3: Data Manipulation and Interaction | 25-30% | - Imaging and Production
|
| Topic 4: Data In and Out | 10-15% | - Data Import
|
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NEW QUESTION # 66
When using Mass PDF, what field type can you use to name the file?
Answer: D
Explanation:
The correct answer is D. Fixed length text . Relativity's Mass PDF documentation states that when saving PDFs as a ZIP or PDF portfolio , you can choose to name the individual PDFs using the control number , the control number plus a field , or just a field . In other words, Relativity supports file naming from a document field value. The same documentation also notes that long names are truncated if they exceed the allowed length, which confirms that the chosen field value is being used directly as part of the resulting file name.
Among the answer choices, fixed length text is the best and most appropriate field type for this purpose. A fixed length text field is designed to store concise string values that work well as filenames. Artifact ID is not a field type in this context, but rather a system identifier. Date fields can exist, but they are not the standard answer for naming PDFs in an exam question framed around field type suitability. Single choice stores coded values and is not the expected best answer here. This question appears to test practical Relativity administration knowledge rather than every technically possible field serialization outcome. Since Mass PDF naming relies on a field value and file names are most appropriately based on text metadata, the correct exam- aligned answer is fixed length text . The Relativity documentation supports the field-based naming capability, and the selection of fixed length text is the most reasonable administrative interpretation from the provided options.
NEW QUESTION # 67
With what tool can you rapidly transfer large amounts of data from your RelativityOne storage location to a local computer?
Answer: B
Explanation:
The correct answer is D. RelativityOne Staging Explorer ROSE . Relativity's official documentation states that Staging Explorer enables you to rapidly transfer large amounts of data to and from RelativityOne .
It is specifically intended for high-volume transfer workflows and can be used to download files from your RelativityOne storage location to a local computer . That wording directly matches the question, making ROSE the exact documented tool for this scenario.
This is why the other options are incorrect. Simple File Download is not the primary enterprise-scale utility Relativity documents for rapid bulk transfer from RelativityOne storage. File Transfer Protocol is a generic technology term, not the RelativityOne tool identified by Relativity documentation for this workflow.
Relativity Integration Points RIP is used for moving and integrating data across systems and workspaces, but it is not the official RelativityOne utility described as the mechanism to rapidly move large data volumes between RelativityOne storage and a local machine. Relativity also reinforces ROSE's suitability for large datasets in its best practices and certification materials, which describe it as the tool for high-volume uploads and downloads in RelativityOne environments. From an RCA perspective, this is an important operational distinction because ROSE is purpose-built for staging and large-scale data movement, making it the correct answer.
NEW QUESTION # 68
What tool replaces a native or image within the Reviewer Interface?
Answer: C
Explanation:
The correct answer is A. Simple File Upload. Relativity's Simple File Upload documentation states that the Viewer supports the ability to replace natives and images from the Document Actions menu. The same documentation ties this replacement workflow to Simple File Upload , explaining that if you want to replace a document rather than upload a new one, you use the Replace document native function in the Review Interface. Relativity's review interface guide also shows that reviewers can replace the native file of the current document and replace the images for the current document from the Viewer.
The other tools do not match this Viewer-based replacement workflow. Mass Replace updates field values, not the native or image file itself. Relativity Processing is for ingestion and extraction workflows, not replacing a currently loaded document in the Reviewer Interface. Native Imaging Sets image groups of documents but are not the tool identified for replacing a native or image from within the Viewer. Therefore, the correct answer is Simple File Upload .
NEW QUESTION # 69
What is true when importing a LEF or .XMEF bundled transcript file from the Document object?
Answer: D
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 # 70
When should you run OCR on a production?
Answer: D
Explanation:
The correct answer is A. After a production is exported. Relativity's official documentation on OCR for redacted production documents explains that you create an OCR set and then point the OCR set to the completed Production . The workflow explicitly states that OCR is performed against the completed production , and once the OCR job is complete, the resulting text becomes ready to export. This means the production must already exist before OCR is run against it. In practical terms, OCR is performed after the production has been run/exported as a completed production set , not before the production exists.
The reason for this is that Relativity OCR in this workflow can operate on production images containing burned-in redactions . That allows the exported text to reflect the redacted version rather than unredacted underlying extracted text. Running OCR before the production is run would not achieve this production- specific result, because the final production images would not yet exist. Option D is too broad and incomplete because a document being redacted does not itself define the OCR timing; the documented process is tied to a completed production . Therefore, under the Productions topic, the correct answer is that you run OCR after the production is exported/completed , because that is when the production images are available for OCR processing.
NEW QUESTION # 71
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