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| Section | Objectives |
|---|---|
| Topic 1: Analytics & Review Management | - Structured analytics - Review workflows |
| Topic 2: Data Management & Ingestion | - File upload and import workflows - Data loading |
| Topic 3: Case Administration | - User and group management - Case setup and management |
| Topic 4: Workspace Administration | - Workspace configuration - Permissions and security |
| Topic 5: Productions & Outputs | - Export and reporting - Productions setup |
>> RCA Valid Test Objectives <<
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NEW QUESTION # 29
What filter can you apply to exclude document text before it is analyzed by structured analytics?
Answer: D
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 # 30
What tool replaces a native or image within the Reviewer Interface?
Answer: B
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 # 31
You expect a large amount of data from the United Kingdom. What steps should you take to prepare your index for date searching?
Answer: C
Explanation:
The correct answer is B. Turn on Date Recognition before building the dtSearch index. Relativity's Searching Guide explains that date recognition must be activated before it can be used in the workspace. It also states that dtSearch recognizes valid date formats common in both the US and UK , including DD/MM
/YY and DD/MM/YYYY formats. That means UK dates are supported, but the index must be configured with Date Recognition enabled in order to take advantage of date searching behavior.
This rules out option D because UK date formats are explicitly supported. Option C is incorrect because adding the slash character to the alphabet file is not the documented preparation step for date searching.
Option A is unrelated to dtSearch date-recognition configuration. From an RCA perspective, the important point is that dtSearch can recognize UK-style numeric dates, but only if Date Recognition is enabled before the relevant index build. Therefore, the correct answer is B .
NEW QUESTION # 32
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: C
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 # 33
When should you run OCR on a production?
Answer: D
NEW QUESTION # 34
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