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Relativity Analytics Specialist Exam with complete solutions
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Relativity Analytics Specialist Exam with complete solutions
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By: anthonydrozario • 5 months ago
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Relativity Analytics Specialist Exam withcomplete solutions
Scenario: One million mostly English electronic documents were
indexed before you were assigned to a matter. Another
25 scanned, handwritten documents were OCRed in an
effort to make them searchable.
Your client has reported some problems with the current
conceptual index. You are assigned to address these
issues.
• The data source and training data source saved
searches return the Extracted Text of all documents.
• No additional filters were applied to the index.
• The account name, WorldCom, occurs too many times
in the resulting cluster titles.
*****
What should you do to resolve the problem with the client name, WorldCom? a. Add the client name to the Concept Stop Word list. b. Run a keyword expansion on the client name. c. Enable the email header filter on the conceptual index. d. Re-run the cluster set including all documents. - Answer- a. Add the client name to the Concept Stop Word list.
Scenario: One million mostly English electronic documents were
indexed before you were assigned to a matter. Another
25 scanned, handwritten documents were OCRed in an
effort to make them searchable.
Your client has reported some problems with the current
conceptual index. You are assigned to address these
issues.
• The data source and training data source saved
searches return the Extracted Text of all documents.
• No additional filters were applied to the index.
• The account name, WorldCom, occurs too many times
in the resulting cluster titles.
*****
What acceptable actions can you take to properly handle the OCRed documents? (Select all that apply.) a. Exclude the OCRed documents and handle them manually. b. Include the OCRed documents in the data source only. c. Include the OCRed documents in the data source and training data source. d. Include OCRed documents in the training data source only. - Answer- a. Exclude the OCRed documents and handle them manually. b. Include the OCRed documents in the data source only.
Scenario: One million mostly English electronic documents were
indexed before you were assigned to a matter. Another
25 scanned, handwritten documents were OCRed in an
effort to make them searchable.
Your client has reported some problems with the current
conceptual index. You are assigned to address these
issues.
• The data source and training data source saved
searches return the Extracted Text of all documents.
• No additional filters were applied to the index.
• The account name, WorldCom, occurs too many times
in the resulting cluster titles.
*****
Some of the document text had poor-quality OCR, and has now been overlaid. How can
you update the index to reflect this new text? a. Run an incremental build of the index b. Run a full build of the index. c. Add new repeated content filters.
d. Cluster the documents. - Answer- b. Run a full build of the index.
The conceptual index processing is based on term co-occurrence. True/False. - Answer- True - the language, concepts, and relationships are defined by the contents of
your documents.
Conceptual Analytics doesn't use word order. True/False. - Answer- True - conceptual indexes are based term co-occurrence
A Classification index learns how terms are related to categories based on the contents of your documents. True/False. - Answer- True
A Conceptual Index supports which of the following functions within Relativity? (Select All that Apply)
a. Keyword Expansion b. Concept Search c. Active Learning
d. Categorization - Answer- a. Keyword Expansion b. Concept Search d. Categorization For categorization, the concept rank indicates documents the distance between the example document and the resulting document. - Answer- True - this is the concept rank for categorization
Only documents included in the data source are returned when you run clustering, categorization, etc. True/False. - Answer- True - the data source includes all of the documents on which you want to perform any Analytics function.
What does setting Optimize Training Set to Yes on a conceptual index remove from the training data source search? (Select all that apply.) a. Lists that contain a significant amount of numbers. b. Lengthy email conversations. c. A list of words from the dictionary. d. System files (EXE, DLL, etc.). - Answer- a. Lists that contain a significant amount of numbers.
d. System files (EXE, DLL, etc.).
When you select the Optimize training set feature on an Analytics index, you improve the quality of that index by excluding documents that could result in inaccurate term correlations due to their low conceptual value. True/False. - Answer- True - these types of documents have low conceptual value
Which of the following documents should be excluded from the Training Set data source? (Select all that apply) a. Excel files with mostly numbers
b. PowerPoint files
c. Compressed files
d. Calendar items - Answer- a. Excel files with mostly numbers
c. Compressed files
d. Calendar items
Optimize Training Set excludes documents with low conceptual value including which of
the following? (Select All That Apply)
a. Very Short Documents
b. Lists containing a significant amount of numbers
c. Spreadsheet like documents
d. Emails - Answer- a. Very Short Documents
b. Lists containing a significant amount of numbers
c. Spreadsheet like documents
Remove English email signatures and footers is set to Yes, by default, for new indexes. True/False. - Answer- True - but is set to No by default for existing indexes.
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