Latest Relativity RCA Questions - Proven Way To Pass Exam

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Relativity Certified Administrator Sample Questions (Q18-Q23):

NEW QUESTION # 18
What is required to use the communication analysis widget?

Answer: D

Explanation:
The correct answer is D. Name normalization. Relativity's official Communication Analysis documentation states that you can add the Communication Analysis widget to a dashboard after running name normalization . The widget visualizes communication frequencies, patterns, and networks between entities linked to the documents in the view, and those entities come from the results of name normalization.
This requirement is fundamental because the widget depends on entity and alias relationships generated by structured analytics name normalization. Without those normalized entities, the system does not have the participant relationship structure needed to render communication maps. Relativity also repeats this requirement in its dashboard documentation, again stating that Communication Analysis is available after running the name normalization operation within structured analytics .
The other options are not the prerequisite named by Relativity. A repeated content filter is optional and only used to improve text cleanup. A conceptual analytics index is a different analytics technology entirely. Email threading is a separate structured analytics operation and is not the stated prerequisite for this widget.
Therefore, the correct answer is D. Name normalization .


NEW QUESTION # 19
You need to create a saved search of all documents containing the term apple that do not contain the term magazine. What dtSearch string would successfully return these documents?

Answer: C

Explanation:
The correct answer is A. NOT magazine AND apple . Relativity's dtSearch syntax documentation confirms that dtSearch supports the Boolean operators AND, OR, and NOT and uses them to connect multiple terms in a single search expression. To return only documents that contain apple while excluding those that contain magazine , the query must require the presence of apple and exclude magazine in the same Boolean expression. Option A does exactly that.
Option B is not correct because Apple NOT magazine is missing the required Boolean connector before NOT
. Relativity's dtSearch guidance and related syntax behavior show that NOT is used as part of a Boolean expression, not as a standalone middle operator without AND or OR. Option C is incorrect because Apple OR NOT magazine would broaden the result set too much, potentially returning documents that do not contain apple at all. Option D is also incorrect because it excludes apple instead of requiring it. Therefore, the valid dtSearch string that successfully returns documents containing apple but not magazine is NOT magazine AND apple .


NEW QUESTION # 20
What can you do using the basic imaging engine options?

Answer: B

Explanation:
The correct answer is B. Set the image size. Relativity's Imaging Profiles documentation distinguishes between Basic Imaging Engine Options and Native Imaging Engine Options . Under the Basic Imaging Engine Options , Relativity explicitly lists Basic Image Size as a configurable setting, with options such as Original setting, Letter, A4, Legal, and Custom. That means image size is directly configurable when using the basic imaging engine.
The other options belong to the native imaging engine rather than the basic imaging engine. Maximum pages imaged per file is listed under Native Imaging Engine Options . Presentation orientation and spreadsheet print-area settings are also documented under native-file-specific options, not the basic engine. So, among the choices provided, the feature available through the basic imaging engine options is the ability to set the image size .


NEW QUESTION # 21
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: B

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 # 22
After imaging the documents in preparation for production, the case team asks for the estimated image count of the production. How can you quickly obtain the image count for the case team?

Answer: C

Explanation:
The correct answer is D. Use the Tally/Sum/Average mass operation on the Relativity Image Count field.
Relativity's Tally/sum/average documentation says this mass operation is commonly used to determine the number of pages in a print job or production. Relativity also specifically documents, in related guidance, that to estimate project size you can use Tally/sum/average on the Relativity Image Count field.
This makes it the fastest and most direct built-in method for obtaining an image count estimate. The other options are less efficient or are not the documented workflow for quickly producing a total image count.
Therefore, the correct answer is to use Tally/Sum/Average on the Relativity Image Count field.


NEW QUESTION # 23
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