Description

Test definition

The successful candidate should demonstrate advanced knowledge of Rapid Response 2016.2 or later, have a proven ability to create Rapid Response resources from data model, advanced analytics, performance tools, basic scripting, query language and complex expressions. They can demonstrate how to use consistent design principles, analyze and improve performance of new and existing resources, including: automatic data modification workbooks and worksheets, spreading worksheets, automation chains, process orchestration, composite worksheets, editable crosstab worksheets, workbook and profile variables, insert definitions, dashboards, charts, multiple resource types, and conditionally hidden worksheets, with occasional referencing to technical documentation and minimal assistance.

Exam sections and objectives

Understanding the Data Model

• Demonstrate how to design changes to the Rapid Response Data Model
• Demonstrate knowledge of database theory

Authoring Advanced Worksheets and Queries

• Demonstrate how to apply advanced filtering
• Demonstrate how to create caching, controller, and spreading worksheets
• Describe advanced queries
• Demonstrate common techniques that optimize performance

Scripting and automation

• Describe how to modify data using a script
• Describe the use of Automation Chains
• Demonstrate the use of different types of commands
• Rapid Response resources
• Demonstrate advanced knowledge and usage of resource types

Analytics

• Demonstrate how to use advanced analytics in Rapid Response

Recommended resources

• Basic Author training path
• Intermediate Author training path
• Advanced Author training path
• Author Level 3 certification study guide (available on the certification community page of the Kinaxis Knowledge Network)
• 12-18 months hands-on experience with Rapid Response in an authoring capacity

Exam details

• There are 60 questions
• The time limit is 120 minutes
• The passing score is 70%
• The Kinaxis training study guide may be found here (must be a registered member of the Kinaxis Knowledge Network)