Practice Tests updated based on SPRING '21 Release
These exams are designed to give you an idea of what to expect in the actual certification test.
The Salesforce Certified Einstein Analytics and Discovery Consultant credential is intended for individuals who have the knowledge, skills, and experience with data ingestion processes, security and access implementations, and dashboard creation. This credential encompasses the fundamental knowledge and skills to design, build, and support apps, datasets, dashboards and stories in Einstein Analytics and Discovery. Also for an individual who has broad knowledge of the Einstein Analytics and Discovery platform and its capabilities, including: dataset management, permissions and security implementations, advanced Salesforce Analytics Query Language (SAQL) coding to support querying and JSON to support dashboard creation on both desktop and mobile devices.
The Salesforce Certified Einstein Analytics and Discovery Consultant generally has a minimum of one year of experience and skills across the Einstein Analytics and Einstein Discovery domains, including:
Select the right charts to satisfy a business requirement.
Create meaningful and relevant dashboards through the application of UX design principles and Einstein Analytics best practices.
Build SAQL powered lenses.
Evaluate which type of binding (selection or result) is needed for a dashboard.
Connect data sources within the UI.
Build and customize template apps.
Develop dynamic calculation using compare tables.
Improve dashboard performance.
Embed pages in dashboards.
Convert dashboard layouts for mobile.
Employ user provisioning to manage identity and access.
Manage migration from lower environment change sets and API.
Configure and manage integration with source control system.
Incorporate governance of dashboards and datasets to manage and monitor Einstein Analytics.
Employ security predicates and sharing inheritance for datasets.
Manage App permissions.
Apply encryption to a dataset.
Explain uses for the Einstein Analytics API.
Load data into Einstein Analytics including CSV uploads, defining connectors to load data from multi-org, and native Salesforce data.
Create dataset recipes.
Enable and use data sync (replication) to run independent data extracts.
Recognize the impact of enabling data sync.
Manage and workaround dataflow and data sync limits.
Implement role hierarchy.
Add derived fields to a dataset.
Export data to Discovery
Prepare data for Discovery.
Examine story statistics and algorithms to make recommendations.
Surface Discovery insights into standard Salesforce pages.
The Salesforce Certified Einstein Analytics and Discovery Consultant candidate has the experience, skills, and knowledge outlined below:
Certification or experience with other business intelligence (BI), extract-transform-load (ETL), analytics, and reporting tools.
Understanding of dashboard/user experience (UX) design and aesthetics for mobile and for desktop.
Competency in reading and writing Salesforce Analytics Query Language (SAQL) and Salesforce Object Query Language (SOQL).
Competency in developing ETL processes for dataset preparation and management.
Understanding of Master Data Management (MDM).
Competency with developing stories in Einstein Discovery.
Working knowledge of data science life cycle.
Working knowledge of statistical analysis.
Working knowledge of data modeling.
Experience leading technical projects.
Competency in administering, configuring, and securing Einstein Analytics.
Optional experience with administration, configuration, and securing Salesforce.
Configure and perform writeback to Salesforce for Discovery models.
A candidate for this exam is not expected to …
Write Apex code.
Use the Einstein Analytics Software Development Kit (SDK).
Write code using the Einstein Analytics API.
Handle large data volumes and data refreshes.
Please use these exams to supplement your Salesforce Certification Study! Always check out relevant trail on Trailhead to increase your chances to ace the certification test.