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| Section | Objectives |
|---|---|
| Topic 1: Analytics & Review Management | - Review workflows - Structured analytics |
| Topic 2: Workspace Administration | - Workspace configuration - Permissions and security |
| Topic 3: Data Management & Ingestion | - File upload and import workflows - Data loading |
| Topic 4: Productions & Outputs | - Export and reporting - Productions setup |
| Topic 5: Case Administration | - User and group management - Case setup and management |
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NEW QUESTION # 38
With what tool can you rapidly transfer large amounts of data from your RelativityOne storage location to a local computer?
Answer: D
Explanation:
The correct answer is D. RelativityOne Staging Explorer ROSE . Relativity's official documentation states that Staging Explorer enables you to rapidly transfer large amounts of data to and from RelativityOne .
It is specifically intended for high-volume transfer workflows and can be used to download files from your RelativityOne storage location to a local computer . That wording directly matches the question, making ROSE the exact documented tool for this scenario.
This is why the other options are incorrect. Simple File Download is not the primary enterprise-scale utility Relativity documents for rapid bulk transfer from RelativityOne storage. File Transfer Protocol is a generic technology term, not the RelativityOne tool identified by Relativity documentation for this workflow.
Relativity Integration Points RIP is used for moving and integrating data across systems and workspaces, but it is not the official RelativityOne utility described as the mechanism to rapidly move large data volumes between RelativityOne storage and a local machine. Relativity also reinforces ROSE's suitability for large datasets in its best practices and certification materials, which describe it as the tool for high-volume uploads and downloads in RelativityOne environments. From an RCA perspective, this is an important operational distinction because ROSE is purpose-built for staging and large-scale data movement, making it the correct answer.
NEW QUESTION # 39
How is the default tab in a workspace determined?
Answer: D
Explanation:
The correct answer is A. It is the tab that has been set as the default tab. Relativity's Tabs documentation states that a tab has a Set as Default Tab toggle, and when this is turned on, that tab serves as the workspace' s default tab. Reviewers logging into the workspace are taken to that default tab. Relativity also notes that if a reviewer does not have access to that default tab, the user is directed to the Documents tab instead.
This means the default tab is not determined merely by tab order. The lowest order number affects where a tab appears in the sidebar, but not which tab is designated as the workspace default. The Admin tab and Documents tab are not always the default either; Documents only acts as the fallback if the user lacks access to the selected default tab. Therefore, the correct answer is that the default tab is the one explicitly set as the default tab .
NEW QUESTION # 40
What object in Relativity functions as the central location for people, companies, organizational groups, and their metadata?
Answer: B
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 # 41
When using Mass PDF, what field type can you use to name the file?
Answer: D
Explanation:
The correct answer is D. Fixed length text . Relativity's Mass PDF documentation states that when saving PDFs as a ZIP or PDF portfolio , you can choose to name the individual PDFs using the control number , the control number plus a field , or just a field . In other words, Relativity supports file naming from a document field value. The same documentation also notes that long names are truncated if they exceed the allowed length, which confirms that the chosen field value is being used directly as part of the resulting file name.
Among the answer choices, fixed length text is the best and most appropriate field type for this purpose. A fixed length text field is designed to store concise string values that work well as filenames. Artifact ID is not a field type in this context, but rather a system identifier. Date fields can exist, but they are not the standard answer for naming PDFs in an exam question framed around field type suitability. Single choice stores coded values and is not the expected best answer here. This question appears to test practical Relativity administration knowledge rather than every technically possible field serialization outcome. Since Mass PDF naming relies on a field value and file names are most appropriately based on text metadata, the correct exam- aligned answer is fixed length text . The Relativity documentation supports the field-based naming capability, and the selection of fixed length text is the most reasonable administrative interpretation from the provided options.
NEW QUESTION # 42
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: C
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 # 43
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