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| Section | Objectives |
|---|---|
| Topic 1: Data Management & Ingestion | - Data loading - File upload and import workflows |
| Topic 2: Case Administration | - Case setup and management - User and group management |
| Topic 3: Productions & Outputs | - Productions setup - Export and reporting |
| Topic 4: Analytics & Review Management | - Structured analytics - Review workflows |
| Topic 5: Workspace Administration | - Permissions and security - Workspace configuration |
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NEW QUESTION # 59
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 # 60
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: D
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 # 61
What field is set when adding a production data source to a production set?
Answer: B
Explanation:
The correct answer is B. Production type. Relativity's official Production Data Source documentation states that when adding a production data source, one of the fields you configure is Production Type , where you select whether the data source will produce images, natives, or both . This is explicitly part of the production data source setup dialog.
This makes sense because production data sources are used to attach saved searches to a production set and can define how those specific subsets of documents should be produced. Relativity also documents that placeholders can be assigned at the production data source level so that different saved searches in the same production can use different placeholder behavior. However, Production Numbering is defined at the production set level rather than as a field you set when creating the individual production data source.
Likewise, Branding text size and Placeholder image format are production-level settings, not the core field identified in the data source setup described by Relativity.
From an RCA standpoint, this distinction matters because administrators configure overall production behavior in the production set, while more granular document-source behavior is controlled on each production data source. Therefore, the correct answer is B. Production type .
NEW QUESTION # 62
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?
Answer: A
Explanation:
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.
NEW QUESTION # 63
What object in Relativity functions as the central location for people, companies, organizational groups, and their metadata?
Answer: A
Explanation:
The correct answer is D. Entity . Relativity's official documentation explicitly states that the Entity object functions as the central location for people, companies, organizational groups, and their metadata . This wording appears directly in the Entity object documentation and is the exact phrasing reflected in the question.
The other options are incorrect because they serve different purposes in Relativity. A Field stores data elements, a Layout controls display and editing arrangements, and a Document represents reviewable content. None of these objects serves as the centralized person/company/group metadata object described in the official documentation. Therefore, the correct answer is Entity .
NEW QUESTION # 64
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