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Relativity RCA Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Management- Import and export operations
  • 1. Image and native handling
  • 2. Load file importing
  • 3. Production export
- Object and metadata management
  • 1. Object relationships
  • 2. Saved searches
  • 3. Choice fields
Topic 2: Workspace Administration- Workspace creation and configuration
  • 1. Template management
  • 2. Workspace settings
  • 3. Field configuration
- Security and permissions
  • 1. Client domain security
  • 2. User and group management
  • 3. Permission configuration
Topic 3: System Administration- Instance administration
  • 1. Queue monitoring
  • 2. Resource pools
  • 3. Agent management
- Application management
  • 1. Script management
  • 2. Integration points
  • 3. Application installation
Topic 4: Search and Analytics- Search functionality
  • 1. Keyword searching
  • 2. Search term reports
  • 3. dtSearch indexes
- Analytics
  • 1. Near duplicate identification
  • 2. Concept searching
  • 3. Email threading
Topic 5: Review and Production- Document review workflows
  • 1. Batch management
  • 2. Coding layouts
  • 3. Review queues
- Production management
  • 1. Image and native productions
  • 2. Production sets
  • 3. Branding and numbering

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Relativity Certified Administrator Sample Questions (Q48-Q53):

NEW QUESTION # 48
If you add the same document to two different data sources in the same production set, what happens when you stage the production?

Answer: B

Explanation:
The correct answer is C . Relativity's official production staging documentation states that a staging error occurs when the same document is found in multiple data sources within the same production set. When this happens, Relativity generates an error message identifying the data sources that pulled back the same document and which specific document is duplicated. The documented resolution is to modify the saved searches used as data sources so they no longer return the same document.
This means staging does not simply ignore the duplicate, nor does it produce the document twice or proceed using the first data source's settings. The duplicate condition is treated as a production-stopping issue that must be corrected before the production can successfully continue. From an RCA perspective, this is a core Productions concept because it affects production QC and data-source design. Administrators should ensure that saved searches used as production data sources are mutually exclusive when necessary, especially if different branding, numbering, or production settings apply. During staging, Relativity is validating the integrity of the production inputs, and duplicate documents across data sources are explicitly flagged as errors. Therefore, the correct interpretation is that an error message appears during staging and the production cannot proceed until the duplicate documents are removed from overlapping data sources .


NEW QUESTION # 49
What is a prerequisite to migrate documents from one workspace to another using Relativity Integration Points RIP?

Answer: B

Explanation:
The correct answer is C. RIP must be installed in the source workspace. Relativity's Integration Points documentation states that to use Integration Points successfully, you must install the application to at least one workspace . In the specific context of promoting data between workspaces, Relativity also states that you are not required to have Integration Points installed on the destination workspace . That means the practical prerequisite is installation in the source workspace , not both source and destination.
This rules out the other choices. Integration Points is not described as an instance-level-only install requirement, so option A is incorrect. Option B is too broad because the destination workspace installation is explicitly not required. Option D is also incorrect because Integration Points is an application that must be installed in a workspace to be used. Therefore, for migrating documents from one workspace to another with RIP, the required prerequisite is that Integration Points be installed in the source workspace .


NEW QUESTION # 50
What aliases will Name Normalization identify from the email below?
From: "Lin, David" David.Lin@example.com
To: Ali.Devi@example.com
CC:
BCC:
Date: 1/25/2020 11:15 AM
Subject: Report Request for Skylar
Hi Ali,
Skylar is looking into the issue involving Rush Jones (rjones@domain.com). Can you please provide a copy of the analytics report to her?
Best,
Dave Lin

Answer: B

Explanation:
The correct answer is C . Relativity's official Name Normalization documentation explains that the process parses the email headers -specifically From, To, Cc, and Bcc -to identify aliases. It does not create aliases from every casual name reference appearing in the email body. Relativity further states that when an alias appears in the format "Doe, John" john.doe@example.com , Name Normalization stores three aliases:
the full alias , the description/name portion , and the email address portion . Applying that exact documented rule here means the From value "Lin, David" David.Lin@example.com yields three aliases:
"Lin, David" David.Lin@example.com , "Lin, David" , and David.Lin@example.com . The To header contributes Ali.Devi@example.com .
Relativity also explicitly notes that generic aliases such as simple first names are not created in order to avoid over-merging. In addition, the alias-identification process is driven by the parsed header sections , not by every name or email string appearing in the message body. That means items such as Ali , Skylar , Rush Jones , rjones@domain.com , and Dave Lin are not the correct header-derived aliases for this example. The body text may help Relativity with segment matching in some contexts, but the direct alias list in this question comes from the email headers. Therefore, the correct identified aliases are the four listed in option C .


NEW QUESTION # 51
What production numbering should be used when reproducing documents with the same Bates numbering?

Answer: D

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 # 52
What filter can you apply to exclude document text before it is analyzed by structured analytics?

Answer: C

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 # 53
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