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Certified Einstein Analytics and Discovery Consultant Exam
The Salesforce Certified Einstein Analytics and Discovery Consultant exam is a certification program for individuals who possess the skills and knowledge required to implement Einstein Analytics solutions. To become a Salesforce Certified Einstein Analytics and Discovery Consultant, one must pass the certification exam and meet the prerequisites. In this section, we will discuss the topics covered in the exam, the exam process, and the exam objectives.
Exam Details:
- Cost: The cost of the Certified Einstein Analytics and Discovery Consultant exam is 200 USD.
- Passing Mark: The passing mark for the exam is 65%.
- Time: The exam is 90 minutes long.
- Delivery Method: The exam is delivered through the web-based testing platform, Webassessor.
- Format: The exam consists of multiple-choice and multiple-select questions.
Exam Objectives:
- Data Integration and Management: The candidate should be able to implement data integration and management solutions using Einstein Analytics.
- Data Discovery and Exploration: The candidate should be able to use Einstein Analytics for data discovery and exploration, including creating dashboards and lenses.
- Data Modeling and Calculations: The candidate should be able to create data models and perform calculations using Einstein Analytics.
- Data Visualization: The candidate should be able to create effective data visualizations using Einstein Analytics.
- Solution Implementation: The candidate should be able to implement Einstein Analytics solutions, including security, administration, and troubleshooting.
To prepare for the Certified Einstein Analytics and Discovery Consultant exam, it is recommended to have hands-on experience with Einstein Analytics, attend the Einstein Analytics and Discovery Consultant course, and review the Salesforce Certified Einstein Analytics and Discovery Consultant Study Guide. The candidate should also be familiar with Salesforce and its features, as well as have an understanding of data warehousing concepts and data visualization techniques.
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