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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Setup and Management | 30-35% | - Applications and Workflows
|
| Topic 2: Data In and Out | 10-15% | - Data Export
|
| Topic 3: Data Manipulation and Interaction | 25-30% | - Imaging and Production
|
| Topic 4: Search and Analytics | 20-25% | - Search Capabilities
|
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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
When should you run OCR on a production?
Answer: C
Explanation:
The correct answer is A. After a production is exported. Relativity's official documentation on OCR for redacted production documents explains that you create an OCR set and then point the OCR set to the completed Production . The workflow explicitly states that OCR is performed against the completed production , and once the OCR job is complete, the resulting text becomes ready to export. This means the production must already exist before OCR is run against it. In practical terms, OCR is performed after the production has been run/exported as a completed production set , not before the production exists.
The reason for this is that Relativity OCR in this workflow can operate on production images containing burned-in redactions . That allows the exported text to reflect the redacted version rather than unredacted underlying extracted text. Running OCR before the production is run would not achieve this production- specific result, because the final production images would not yet exist. Option D is too broad and incomplete because a document being redacted does not itself define the OCR timing; the documented process is tied to a completed production . Therefore, under the Productions topic, the correct answer is that you run OCR after the production is exported/completed , because that is when the production images are available for OCR processing.
NEW QUESTION # 31
How can you update the Disable On Date field for multiple users?
Answer: B
Explanation:
The correct answer is A. Use a mass operation to update the Disable On Date field. Relativity's Users documentation explicitly states that you can use a mass-operation to set the Disable On Date (UTC) field for multiple users . This is the exact documented method for updating that field across multiple user accounts at once.
The other options are not the documented answer for this workflow. Disabling a group is not the same thing as updating the Disable On Date field on user records. Overlay via Import/Export is not the method Relativity identifies for this task in the Users documentation. Setting the field individually works for a single user, but the question asks specifically about multiple users . Therefore, the correct answer is to use a mass operation to update the Disable On Date field.
NEW QUESTION # 32
The lead attorney is working in the Hot Documents list view. They add a filter to the Hot Documents view and can no longer see all of the email attachments in the document list. Why might this be?
Answer: D
Explanation:
The correct answer is A. The Family Group relational view is no longer selected. In Relativity, family relationships for emails and attachments are displayed through a relational view tied to the Group Identifier field. Relativity's documentation explains that family groups are shown in a document list when a view is configured to display those relationships, and that the Group Identifier is the field used to associate an email with its attachments. When a relational family view is active, users can see the family grouped together in the list rather than seeing only the individual records that directly meet the filter criteria.
Once the attorney adds a filter, the list may appear to "lose" attachments if the view is no longer leveraging the Family Group relational context. This is because Relativity filters act on the records in the active view, and related items such as attachments are included through family grouping behavior rather than because every attachment independently satisfies the filter. The Group Identifier field itself is generally what defines the family relationship, and if it were not populated, the issue would be broader and structural, not just something that appears after adding a filter. The Document Extension field being indexed is unrelated to whether attachments display as family members in the document list. Therefore, the most plausible and Relativity-aligned explanation is that the Family Group relational view is no longer selected , which prevents all related email attachments from continuing to display together in the filtered Hot Documents view.
NEW QUESTION # 33
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?
Answer: D
Explanation:
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.
NEW QUESTION # 34
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