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| Section | Objectives |
|---|---|
| Topic 1: System Administration | - Instance administration
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| Topic 2: Review and Production | - Document review workflows
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| Topic 3: Search and Analytics | - Analytics
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| Topic 4: Workspace Administration | - Workspace creation and configuration
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| Topic 5: Data Management | - Object and metadata management
|
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48. Frage
How can you secure a workspace from a user?
Antwort: B
Begründung:
The correct answer is A. By removing that user's security group from the workspace. In Relativity, workspace access is granted through groups , not by attaching workspace rights directly to individual users.
Relativity's official security documentation explains that you set permissions by adding groups to a workspace and configuring those group permissions there. Users then inherit access through their group memberships. As a result, the standard way to secure a workspace from a user is to remove the group that gives that user access, or remove the user from the relevant group.
The other options do not reflect how Relativity security is structured. User profile settings do not control workspace visibility in the manner described. IP-based security is not the mechanism for ordinary workspace access control in this scenario. Instance-level view security is also too narrow and does not remove the user's overall workspace access; even if certain views were restricted, the user could still potentially access the workspace through other permitted objects or tabs. From an RCA perspective, this question tests a foundational principle: workspace security is group-based . Administrators grant or revoke access by managing the relationship between groups and workspaces, then managing which users belong to those groups. Therefore, to secure a workspace from a user, the correct action is to remove the user's access- granting security group from that workspace.
49. Frage
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?
Antwort: A
Begründung:
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.
50. Frage
Which action requires a saved search?
Antwort: B
Begründung:
The correct answer is D. Building a search terms report. Relativity's Search Terms Report documentation requires you to define report information including a Searchable Set, which is a saved search containing the documents to be evaluated by the STR. Relativity's guidance for using STRs also states that you should define a saved search that returns the required document population for the searchable set. That makes a saved search a required component of building a search terms report.
The other options do not inherently require a saved search. A keyword search can be run directly in the search panel. A dashboard can be created without requiring a saved search as its core prerequisite. A persistent highlight set is commonly used with STR output, but the question asks which action itself requires a saved search, and the STR workflow is the one explicitly documented to require one. Therefore, the correct answer is Building a search terms report.
51. Frage
What do you need to do to ensure you produce only non-redacted text?
Antwort: A
Begründung:
The correct answer is B. Add the OCR text field as the first field in the Text Precedence window.
Relativity's OCR-on-redacted-production guidance explains that to produce only non-redacted text, you must use Text Precedence during export, and it specifically warns not to add the Extracted Text field to the exported field list because doing so can result in producing redacted text. It also explains that production export can use ordered text fields so Relativity pulls text from the highest-priority populated field.
In this workflow, the OCR text generated from the redacted production images is the field that reflects the redacted-visible text appropriately for export. By placing the OCR text field first in Text Precedence, Relativity uses that OCR-derived text before falling back to other long-text fields. Option A is incorrect because prioritizing Extracted Text risks exporting the original underlying text rather than the intended redacted-visible text. Options C and D are also incorrect because the guidance is to control output through Text Precedence , not by simply adding those fields to the exported field list; in fact, Relativity explicitly warns against adding Extracted Text to the exported list for this use case. Therefore, the correct step is to put the OCR text field first in Text Precedence .
52. Frage
How can you modify a dtSearch index?
Antwort: A
Begründung:
The correct answer is A. Configure the index to be accent sensitive. Relativity's official dtSearch index documentation lists Create accent sensitive as a configurable Yes/No setting on a dtSearch index. When enabled, the index becomes sensitive to accents and other language-specific characters. This is an example of a valid dtSearch index modification that an administrator can configure.
The other options are incorrect. Relativity does not document a dtSearch feature that translates search terms into multiple languages, so option B is not a valid dtSearch index modification. A repeated content filter is associated with Analytics workflows, not dtSearch index configuration, so option C is also wrong. Option D is clearly incorrect because dtSearch indexes are not simply automatic and fixed upon import; Relativity provides a dedicated dtSearch object with editable settings such as searchable set, sub-index sizing behavior, skip malicious files, and accent sensitivity.
From an RCA perspective, this matters because dtSearch is a configurable search technology in Relativity, and administrators are responsible for tuning it for the needs of a workspace. Accent sensitivity can materially affect search precision in multilingual or language-specific datasets. Therefore, the correct answer is A .
53. Frage
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