Exam version: RelativityOne

A qualified Relativity Analytics specialist regularly works with Relativity Active Learning and Conceptual Analytics, and is considered a Relativity Analytics expert within their organization. This individual has a minimum of six months hands-on experience leveraging a wide variety of Analytics features to help case teams quickly and effectively organize and review data.

Please answer the following questions and review each topic to determine the frequency and importance of each task for what you consider to be a qualified Relativity Analytics specialist. Use the guidelines below when choosing your answers.

Frequency: How often is this task performed by a qualified Analytics specialist?
  • Daily
  • Weekly
  • Quarterly
  • Never

Importance: How costly is it if an Analytics specialist doesn't know how to complete this task, or makes a mistake in this area?
  • High importance - A high risk task that is very costly in terms of time, money, or risk if done incorrectly.
    • Example: For a doctor, performing surgery on a patient is a highly critical task that involves high risk and is costly if done incorrectly.
  • Moderate importance - A task that may be somewhat costly in terms of time, money, or risk if done incorrectly.
    • Example: For a doctor, taking a patient's temperature may be a moderately critical task that could be somewhat costly if done incorrectly.
  • Low importance - A low risk task that is unlikely to be costly if done incorrectly.
    • Example: For a doctor, changing patient bedlinens is a low risk activity when compared to other job tasks.

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* 1. What is your job title?

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* 2. List the five most important tasks you complete at your job:

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* 3. Based on your experience, what skills or competencies distinguish a great analytics specialist from a good analytics specialist?

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* 4. Analytics Indexes and Profiles
Rank each task in terms of frequency and importance:

  Frequency Importance
Create and build Analytics indexes
Configure Analytics profiles
Use Repeated Content filters

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* 5. Clustering and Cluster Visualization
Rank each task in terms of frequency and importance:

  Frequency Importance
Run clustering
Interpret clustering results
Design workflows using clusters
Design workflows using cluster visualization

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* 6. Categorization Sets, Find Similar Documents, and Keyword Expansion
Rank each task in terms of frequency and importance:

  Frequency Importance
Create/run categorization sets
Interpret categorization results
Enforce categorization best practices
Use Find Similar Documents
Use keyword expansion

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* 7. Active Learning & Review Center
Rank each task in terms of frequency and importance:

  Frequency Importance
Install Active Learning application
Set up an Active Learning project, including creating necessary elements
Conduct pre-project sampling and coding
Use the Prioritized Review queue
Use the Coverage Review
Analyze model progress and stability
Choose a cutoff and import and QC ranks
Run Project Validation and assess results
Use Review Center
Set up Review Center Queues
Use Review Center Queues for a specific type of review

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* 8. Are you currently a certified Relativity Analytics Specialist?

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* 9. Do you use RelativityOne or Relativity Server?

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* 10. The Certification team is often looking for volunteers to provide additional feedback. Please provide your email address if you are interested in helping the team in the future.

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