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| Section | Weight | Objectives |
|---|---|---|
| Data Manipulation and Interaction | 25-30% | - Mass Operations and Tools
|
| Setup and Management | 30-35% | - Workspace and Instance Objects
|
| Search and Analytics | 20-25% | - Search Capabilities
|
| Data In and Out | 10-15% | - Data Import
|
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NEW QUESTION # 54
A client sends you a data set they want processed that is comprised entirely of large Excel files. What is the best Excel Text Extraction Method to get the data to review as quickly as possible?
Answer: D
Explanation:
The correct answer is A. Relativity. Relativity's Processing throughput guidance states that internal performance testing has shown the Relativity text extraction method to be at least two times faster than the native method on Excel, Word, and PowerPoint file types, and also less error-prone than native extraction.
Since the question asks for the best method to get a large Excel-only data set to review as quickly as possible, the documented speed advantage makes Relativity the best answer.
The native-based methods are slower according to that same documentation, even though they may have other use cases. The processing profile documentation also shows that native/failover combinations are available configurations, but the performance guidance specifically favors the Relativity extraction method for speed on Excel files. "Extract and place inline" is not the documented Excel text extraction method choice for this question. Therefore, the fastest and most review-efficient choice for large Excel files is Relativity.
NEW QUESTION # 55
How should data be promoted to a review workspace to take advantage of the reduced data costs offered by the repository workspace?
Answer: D
Explanation:
The correct answer is C. Use Integration Points with the Links Only option for natives. Relativity's repository workspace documentation explicitly says that to take advantage of reduced repository data costs, they strongly recommend promoting sets of documents via links only to standard review workspaces instead of storing duplicates of the files in the review workspace . The repository workflow page describes using Integration Points to move selected documents to the review workspace, and the billing guidance explains that if you promote actual files instead of links only, you incur both repository and review storage charges.
That makes option C the documented best practice. Uninstalling the repository application is actually listed as a condition that can affect repository billing adversely, so option A is incorrect. Exporting and re-importing with Import/Export duplicates the files and defeats the reduced-cost repository workflow. ARM restore is also not the recommended method for promoting data into active review while preserving the repository cost advantages. Therefore, the correct answer is use Integration Points with Links Only for natives .
NEW QUESTION # 56
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: C
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 # 57
How can you ensure a video will be synced to a transcript?
Answer: A
Explanation:
The correct answer is C. The video must be synced to one .MP4 video and uploaded at the same time.
Relativity's official Transcripts application documentation explicitly states that the video can be played in the Viewer in sync with the text of the transcript, and further notes: you must import videos at the same time you are uploading transcripts or the video and transcript cannot sync . The documentation also describes uploading the video as an .mp4 alongside the transcript during the transcript upload workflow.
This directly eliminates the other options. Option A is false because Relativity clearly supports synced transcript video playback. Option B is wrong because this is not a PST-based workflow. Option D is also incorrect because the documentation does not describe a later mass action that separately syncs already uploaded video and text files; instead, the sync relationship is established during the same upload process.
Relativity even distinguishes that videos are not stored as normal documents in the document list, but rather as a file field within a transcript, reinforcing that the transcript upload workflow is the correct path.
From a case administration standpoint, this is important because transcript/video synchronization affects deposition and interview review usability. To ensure successful synchronization, the transcript and its associated .mp4 video must be uploaded together. Therefore, the correct answer is C .
NEW QUESTION # 58
What is the recommended workflow for exporting produced PDFs with a corresponding load file?
Answer: C
Explanation:
The correct answer is C. Export the production set as PDFs using Import/Export. Relativity's official Import/Export documentation states that Import/Export is the recommended method for importing and exporting data for RelativityOne , and the production export workflow specifically supports exporting a production set load file with production files. The production export workflow is the documented method for exporting production sets and their associated deliverables in a structured, transferable form.
This makes it the best fit for the question's requirement: produced PDFs with a corresponding load file .
The PDF mass action is a separate document-level utility for creating PDFs from documents, natives, images, or produced documents, but it is not the standard production export workflow for packaging a production with its corresponding load file. Downloading PDFs from the Viewer is a manual review action, not a formal production export workflow. ROSE is used for large-scale data transfer to and from RelativityOne storage, but the product documentation positions Import/Export as the recommended export mechanism for production sets and related load files.
So, from a Productions and RCA workflow perspective, the recommended method is to export the production set as PDFs using Import/Export .
NEW QUESTION # 59
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