Die Relativity RCA Zertifizierungsprüfung ist heutztage in der konkurrenzfähigen IT-Branche immer beliebter geworden. Immer mehr Leute haben die Relativity RCA Prüfung abgelegt. Aber ihre Schwierigkeit nimmt doch nicht ab. Es ist schwer, die Relativity RCA Prüfung zu bestehen, weil sie sowieso eine autoritäre Prüfung ist, die Computerfachkenntnisse und die Fähigkeiten zur Informationstechnik prüft. Viele Leute haben viel Zeit und Energie auf die Relativity RCA Zertifizierungsprüfung aufgewendet.
| Section | Objectives |
|---|---|
| Topic 1: Workspace Administration | - Security and permissions
|
| Topic 2: Search and Analytics | - Search functionality
|
| Topic 3: System Administration | - Instance administration
|
| Topic 4: Review and Production | - Production management
|
| Topic 5: Data Management | - Import and export operations
|
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43. Frage
How is a Relativity Short Message Format RSMF file created?
Antwort: B
Begründung:
The correct answer is C. Files must be generated using the RSMF specifications before they are imported into Relativity. Relativity's official Short Message Format documentation explains that to use the Short Message Viewer, you first need to create an RSMF file, and the example/specification pages describe the required structure and header information that must be present before ingestion using Processing. Relativity also states that Processing is the recommended method of importing RSMF files into Relativity, which means the RSMF file already exists when Processing begins.
This rules out the other options. Relativity does not say that it automatically creates RSMF on-the-fly for all non-document data. It also does not describe a processing-profile feature that converts arbitrary XML from chat platforms into RSMF during import. Nor is there a document-list mass operation that converts conversations into RSMF. Instead, RSMF is a defined external format that must be constructed according to Relativity's published specifications, then imported and processed to preserve message metadata, attachments, and near-native review behavior. Therefore, the correct answer is C.
44. Frage
How can you modify a dtSearch index?
Antwort: D
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 .
45. Frage
What problem could you identify using the Imaging Warnings tab after imaging a set of documents?
Antwort: D
Begründung:
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 .
46. Frage
After review started, you realize the fixed-length text field you created should have been a long text field.
What is the fastest, most efficient way to populate the new long text field with the values from the fixed- length text field?
Antwort: B
Begründung:
The correct answer is D. Use Mass Replace to update the long text field with the fixed-length text field values. Relativity's mass operations documentation explains that Mass Replace can be used not only to replace text with static content, but also for field-to-field operations. Specifically, the official examples include copying the contents of one text field to another and merging the values of a source field with the values of a target field . That directly fits this scenario, where the administrator needs to populate a newly created long text field with the existing values stored in a fixed-length text field across many documents.
The other options are less efficient or not aligned with standard Relativity functionality. Manual updates would be extremely slow and error-prone in an active review. Exporting and then overlaying values would create unnecessary extra steps and administrative overhead. Option B refers to Mass Merge , but in Relativity documentation the Merge mass operation is associated with Analytics entity handling, not with copying document text values between fields. For document field content migration, Mass Replace is the documented bulk-update tool. Because this question focuses on the fastest and most efficient administrative correction after review has started, the best practice is to create the correct long text field and then use Mass Replace to populate it from the original fixed-length text field.
47. Frage
Which of these dtSearch queries would cause a syntax error on a search terms report STR?
Antwort: B
Begründung:
The correct answer is B. dog not cat. Relativity's dtSearch syntax guidance explains that the NOT operator can be used by itself at the beginning of an expression, or in the middle of an expression only when combined with either AND or OR. Relativity gives examples such as apple OR NOT pear and applesauce and NOT pear as valid syntax. That means expressions like dog OR NOT cat and dog AND NOT cat are valid, while dog NOT cat is missing the required connector and therefore causes a syntax problem.
Relativity's Search Terms Report error documentation further explains that STRs surface syntax errors when the search index cannot process the term because of invalid syntax. In this case, dog not cat violates the dtSearch operator rule, so it is the option most clearly expected to fail with a syntax error in a search terms report. Option A is a standard Boolean expression and is valid. Options C and D both include the required connector before NOT, which matches Relativity's documented dtSearch usage. Therefore, among the listed queries, dog not cat is the one that would cause a syntax error on an STR.
48. Frage
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