How to pass Salesforce Einstein Analytics and Discovery Consultant Certification Exam Blog

We bet you are looking for ways to prepare for the Salesforce Einstein Analytics or Discovery Consultant exam. The Salesforce Certified Einstein Analytics & Discovery Consultant credential is for individuals who have the skills and knowledge to create dashboards and implement security and access protocols. This credential also includes the basic knowledge and skills required to create, build, support, and maintain apps, dashboards and datasets in Einstein Analytics or Discovery.
Let’s clarify who is the ideal candidate for this exam. The Salesforce Certified Einstein Analytics & Discovery Consultant exam is for someone who has a good understanding of Einstein Analytics & Discovery platform. This includes knowledge of permissions, security implementations, data management, and advanced Salesforce Analytics Query Language (SAQL). JSON can be used to support dashboard creation on desktop and mobile devices. Let’s now discuss the responsibilities you will have after passing the exam and becoming certified.
Essential Skills
Salesforce Certified Einstein Analytics and Discovery consultant candidates have the skills, knowledge, and experience described below.
Firstly, certification or expertise with business intelligence (BI), analytics, extract-transform-load (ETL), and reporting mechanisms.
Second, knowledge of UX design and aesthetics for desktop and mobile.
Competency in reading and writing Salesforce Object Query Languages (SOQL), and Salesforce Analytics Query Languages (SAQL).
Competency in the generation of ETL methods for data preparation and management.
Understanding Master Data Management (MDM) is also helpful.
Developing stories in Einstein Discovery.
Effective knowledge of the data science life cycle
A working knowledge of statistical analysis is also required.
Knowledge of data modeling is also important.
Experience in managing technical projects.
Administering, configuring, and securing Einstein Analytics.
Volunteer encounter with administration, configuration and securing Salesforce
Configuring and performing writeback to Salesforce Discovery models.
Course Outline: Salesforce Einstein Analytics and Discovery Consultant
Understanding the objectives of an exam is the most important step in preparing for it. This is because the exam outline is the content of your exam. This means that the question paper will only contain questions related to these objectives. Let’s now discuss the course outline of the Salesforce Einstein Analytics exam and the Discovery Consultant exam. Take a piece of paper and write the following:
Data Layer: 24%
Firstly, how to use the Data Manager to pull and place data into Einstein Analytics applications to create datasets. Also, describing how the Salesforce platform highlights maps to the Model-View-Controller (MVC) model.
Second, you can implement data sync, refreshes, and/or recipes based on your business needs and consolidated data to help you understand the core business need. The AppExchange can also be used to identify common situations that could increase an application’s capabilities.
Additionally, you can demonstrate knowledge of the Einstein Analytics API.
Einstein Analytics can be used to create a solution that supports data flow limitations.
Security: 11%
Important security settings that include users, groups, profiles and governance are required in Einstein Analytics asset security and governance conditions.
Also, row-based security obligations and security terms must be considered when implementing the dataset security settings.
App sharing can also be implemented based on the user, role, or group needs.
Admin: 9%
Utilizing change management