Relativity Analytics Specialist Exam | | |
Study |online |at |https://quizlet.com/_bejdto
1. 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 ExtractedText 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 StopWord list.
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b. Run a keyword expansion on the client name.
| | | | | | |
c. Enable the email header filter on the conceptual index.
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d. Re-run the cluster set including all documents.: a.Add the client name to the
| | | | | | | | | | | | |
Concept Stop Word list.
| | | |
2. 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 ExtractedText 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 docu-
| | | | | | | | | | |
ments? (Select all that apply.)
| | | | |
a. Exclude the OCRed documents and handle them manually.
| | | | | | |
1 |/ |28
, Relativity Analytics Specialist Exam | | |
Study |online |at |https://quizlet.com/_bejdto
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.: a.Exclude the | | | | | | | | | | |
OCRed documents and handle them manually.
| | | | | |
b. Include the OCRed documents in the data source only. | | | | | | | |
3. 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 ExtractedText 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.: b. Run a full build of the index. | | | | | | | | | |
4. The conceptual index processing is based on term co-occurrence.
| | | | | | | |
True/False.: True - the language, concepts, and relationships are defined by the
| | | | | | | | | | | |
contents of your documents.
| | | |
5. Conceptual Analytics doesn't use word order.True/False.: True - conceptual | | | | | | | | |
indexes are based term co-occurrence
| | | | |
6. A Classification index learns how terms are related to categories based on
| | | | | | | | | | |
the contents of your documents.True/False.: True
| | | | | | |
7. A Conceptual Index supports which of the following functions within Rela-
| | | | | | | | | |
tivity? (Select All that Apply)
| | | | |
a. Keyword Expansion |
b. Concept Search |
c. Active Learning |
2 |/ |28
, Relativity Analytics Specialist Exam | | |
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d. Categorization: a. Keyword Expansion | | |
b. Concept Search |
d. Categorization
|
8. For categorization, the concept rank indicates documents the distance
| | | | | | | |
between the example document and the resulting document.: True - this is the
| | | | | | | | | | | | |
concept rank for categorization
| | | |
9. Only documents included in the data source are returned when you run
| | | | | | | | | | |
clustering, categorization, etc.True/False.: True - the data source includes all of the
| | | | | | | | | | | | |
documents on which you want to perform any Analytics function.
| | | | | | | | | |
10. What does setting OptimizeTraining Set toYes 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.).: a.Lists that contain a significant amount of| | | | | | | | | | | |
numbers.
|
d. System files (EXE, DLL, etc.).
| | | | |
11. 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.-
| | | | | | | | | |
: True - these types of documents have low conceptual value
| | | | | | | | | |
12. Which of the following documents should be excluded from theTraining | | | | | | | | | |
Set data source? (Select all that apply)
| | | | | | |
a. Excel files with mostly numbers | | | |
b. PowerPoint files |
c. Compressed files |
d. Calendar items: a. Excel files with mostly numbers | | | | | | |
c. Compressed files |
d. Calendar items |
13. OptimizeTraining Set excludes documents with low conceptual value in- | | | | | | | | |
cluding 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: a.Very Short Documents | | | |
b. Lists containing a significant amount of numbers
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c. Spreadsheet like documents
| | |
3 |/ |28
Study |online |at |https://quizlet.com/_bejdto
1. 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 ExtractedText 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 StopWord 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.: a.Add the client name to the
| | | | | | | | | | | | |
Concept Stop Word list.
| | | |
2. 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 ExtractedText 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 docu-
| | | | | | | | | | |
ments? (Select all that apply.)
| | | | |
a. Exclude the OCRed documents and handle them manually.
| | | | | | |
1 |/ |28
, Relativity Analytics Specialist Exam | | |
Study |online |at |https://quizlet.com/_bejdto
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.: a.Exclude the | | | | | | | | | | |
OCRed documents and handle them manually.
| | | | | |
b. Include the OCRed documents in the data source only. | | | | | | | |
3. 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 ExtractedText 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.: b. Run a full build of the index. | | | | | | | | | |
4. The conceptual index processing is based on term co-occurrence.
| | | | | | | |
True/False.: True - the language, concepts, and relationships are defined by the
| | | | | | | | | | | |
contents of your documents.
| | | |
5. Conceptual Analytics doesn't use word order.True/False.: True - conceptual | | | | | | | | |
indexes are based term co-occurrence
| | | | |
6. A Classification index learns how terms are related to categories based on
| | | | | | | | | | |
the contents of your documents.True/False.: True
| | | | | | |
7. A Conceptual Index supports which of the following functions within Rela-
| | | | | | | | | |
tivity? (Select All that Apply)
| | | | |
a. Keyword Expansion |
b. Concept Search |
c. Active Learning |
2 |/ |28
, Relativity Analytics Specialist Exam | | |
Study |online |at |https://quizlet.com/_bejdto
d. Categorization: a. Keyword Expansion | | |
b. Concept Search |
d. Categorization
|
8. For categorization, the concept rank indicates documents the distance
| | | | | | | |
between the example document and the resulting document.: True - this is the
| | | | | | | | | | | | |
concept rank for categorization
| | | |
9. Only documents included in the data source are returned when you run
| | | | | | | | | | |
clustering, categorization, etc.True/False.: True - the data source includes all of the
| | | | | | | | | | | | |
documents on which you want to perform any Analytics function.
| | | | | | | | | |
10. What does setting OptimizeTraining Set toYes 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.).: a.Lists that contain a significant amount of| | | | | | | | | | | |
numbers.
|
d. System files (EXE, DLL, etc.).
| | | | |
11. 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.-
| | | | | | | | | |
: True - these types of documents have low conceptual value
| | | | | | | | | |
12. Which of the following documents should be excluded from theTraining | | | | | | | | | |
Set data source? (Select all that apply)
| | | | | | |
a. Excel files with mostly numbers | | | |
b. PowerPoint files |
c. Compressed files |
d. Calendar items: a. Excel files with mostly numbers | | | | | | |
c. Compressed files |
d. Calendar items |
13. OptimizeTraining Set excludes documents with low conceptual value in- | | | | | | | | |
cluding 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: a.Very Short Documents | | | |
b. Lists containing a significant amount of numbers
| | | | | | |
c. Spreadsheet like documents
| | |
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