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EADC exam Format | EADC Course Contents | EADC Course Outline | EADC exam Syllabus | EADC exam Objectives

Exam Detail:

The EADC (Einstein Analytics and Discovery Consultant) certification exam is designed to validate the skills and knowledge of professionals in implementing and configuring Salesforce Einstein Analytics and Discovery solutions. Here are the exam details for EADC:



- Number of Questions: The exam consists of multiple-choice questions- and the exact number of questions may vary. Typically- the exam includes around 60 to 70 questions.



- Time Limit: The time allocated to complete the exam is 105 minutes (1 hour and 45 minutes).



Course Outline:

The EADC certification exam focuses on assessing candidates' proficiency in various aspects of Salesforce Einstein Analytics and Discovery. The course outline typically includes the following areas:



1. Analytics and Discovery Overview:

- Understanding the key concepts and components of Salesforce Einstein Analytics and Discovery.

- Exploring the benefits and use cases of analytics and discovery solutions.



2. Data Preparation and Modeling:

- Working with data sources and datasets in Einstein Analytics.

- Data transformation- cleansing- and enrichment.

- Creating and managing dataflows for data preparation.



3. Dashboard Design and Visualization:

- Designing interactive dashboards using Einstein Analytics.

- Building compelling visualizations and charts.

- Implementing filters- drill-downs- and dynamic interactions.



4. Advanced Analytics Features:

- Utilizing advanced analytics capabilities in Einstein Analytics.

- Implementing predictive and prescriptive analytics.

- Building and configuring machine learning models.



5. Security and Sharing:

- Managing security and access controls in Einstein Analytics.

- Configuring data-level security and row-level security.

- Sharing dashboards and insights with users and teams.



6. Integration and App Development:

- Integrating Einstein Analytics with other Salesforce products and external systems.

- Building custom applications using the Analytics API and SDK.

- Leveraging Salesforce DX for development and deployment.



Exam Objectives:

The objectives of the EADC exam are as follows:



- Evaluating candidates' knowledge and understanding of Salesforce Einstein Analytics and Discovery.

- Testing candidates' proficiency in data preparation and modeling for analytics solutions.

- Assessing candidates' ability to design interactive dashboards and visualizations.

- Evaluating candidates' knowledge of advanced analytics features and machine learning.

- Testing candidates' understanding of security and sharing mechanisms in Einstein Analytics.

- Assessing candidates' proficiency in integrating and developing applications with Einstein Analytics.



Exam Syllabus:

The specific exam syllabus for the EADC exam covers a wide range of syllabus related to Salesforce Einstein Analytics and Discovery. The syllabus includes:



1. Analytics and Discovery Overview

2. Data Preparation and Modeling

3. Dashboard Design and Visualization

4. Advanced Analytics Features

5. Security and Sharing

6. Integration and App Development

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