Salesforce Certified CRM Analytics and Einstein Discovery Consultant Practice Exam

About the Salesforce Einstein Analytics and Discovery Consultant 

The Salesforce Certified CRM Analytics and Einstein Discovery Consultant certification is designed for candidate who possess expertise in data ingestion procedures, security and access configurations, and the creation of dashboards. The Salesforce Certified CRM Analytics and Einstein Discovery Consultant certification exam covers the essential knowledge and competencies required to plan, construct, and provide assistance for applications, datasets, dashboards, and stories within CRM and Einstein Discovery.

Who should take the exam?

The Salesforce Certified CRM Analytics and Einstein Discovery Consultant examination is designed for individuals with extensive expertise in the CRM and Einstein Discovery platform, encompassing various aspects such as dataset administration, permission settings, security configurations, advanced skills in Salesforce Analytics Query Language (SAQL) for query support, and proficiency in utilizing JSON for dashboard creation on both desktop and mobile devices.

Skills and Experience Required

A Salesforce Certified CRM Analytics and Einstein Discovery Consultant typically possess at least one year of experience and proficiency across various domains within CRM and Einstein Discovery. These domains include:

FRONT END ROLE

• Identifying appropriate chart types to fulfill specific business requirements.
• Crafting meaningful and relevant dashboards by applying principles of user experience (UX) design and adhering to CRM best practices.
• Constructing lenses powered by Salesforce Analytics Query Language (SAQL).
• Assessing the need for different types of binding/interaction (selection or result) within a dashboard.
• Establishing connections to data sources directly within the user interface.
• Building and customizing template applications.
• Creating dynamic calculations using compare tables.
• Enhancing dashboard performance.
• Embedding pages within dashboards.
• Adapting dashboard layouts for mobile devices.

ADMINISTRATIVE/MIDDLE ROLE

• Utilizing user provisioning for identity and access management.
• Handling migrations from lower environments using change sets and APIs.
• Configuring and managing integrations with source control systems.
• Implementing governance for dashboards and datasets to effectively oversee and monitor CRM usage.
• Applying security predicates and sharing inheritance for datasets.
• Managing permissions for applications.
• Applying encryption to datasets.
• Explaining the use cases for the CRM API.

BACK END ROLE

• Loading data into CRM, including methods such as CSV uploads, defining connectors for multi-org data loading, and integrating native Salesforce data.
• Creating dataset recipes for data transformation and preparation.
• Enabling and utilizing data synchronization (replication) to perform independent data extracts.
• Understanding the implications of enabling data synchronization.
• Managing and working around limitations related to dataset recipes and data synchronization.
• Implementing role hierarchies for access control.
• Adding derived fields to datasets as needed.

Exam Details

• Total Questions: 60 multiple-choice/multiple-select questions and 5 non-scored questions
• Exam Duration: 90 minutes
• Passing score: 68% and above
• Exam Delivery options: Proctored exam or online proctored Exam 
  
• References: No hard copy or online materials may be referenced during the exam.
• Prerequisite: None

Exam Outline

The Salesforce Einstein Analytics and Discovery Consultant exam covers the following topics - 

Domain 1 - Understanding Admin/Configuration (17%)

• For business and access requirements, enable CRM Analytics along with its features, encompassing permission sets and licenses.
• For a scenario, use CRM Analytics to design a solution that accommodates data sync/dataflows/recipes limits.
• For a situation, demonstrate knowledge of what can be accomplished with the CRM Analytics API.
• Given business requirements, migrate between different environments for deployment.

Domain 2 - Understanding Data Layer (23%)

• For data sources, use Data Manager to extract and load the data into the CRM Analytics application to create datasets.
• For business needs and consolidated data, implement refreshes for data syncs and dataflows/recipes while keeping limits and considerations in mind.
• For business/user requirements, perform data transformations in dataflows/recipes.
• For user requirements or ease of use strategies, manage dataset extended metadata (XMD) by editing labels, values, and colors.
• To implement delivery management strategies in dataflows/recipes including versioning and conversion.

Domain 3 - Understanding Security (16%)

• For governance and CRM Analytics asset security requirements, implement necessary security settings for users, groups, and profiles.
• For row-based security requirements, implement the appropriate dataset security settings by using sharing inheritance and security predicates.
• To Implement app sharing based on user and group requirements.

Domain 4 - Understanding Analytics Dashboard Design (13%)

• For business requirements, scope, validate, and prioritize dashboard design requirements.
• To create appropriate dashboards to meet business requirements following CRM Analytics best practices and UX design principles.
• To identify the appropriate use and configuration of a standard CRM Analytics templated app to meet business requirements.

Domain 5 - Understanding Analytics Dashboard Implementation (19%)

• For business requirements, configure dashboards using accurate query types and widget level parameters.
• For business requirements, develop selection/result interactions with different types of queries.
• For business requirements, use advanced functionality such as windowing and time series analysis within compare tables.
• For business requirements, make dashboards actionable and accessible in Lightning pages.
• For a scenario, monitor and optimize query performance using Dashboard Inspector.
• To implement delivery management strategies using versioning and/or Dashboard Publisher.

Domain 6 - Understanding Einstein Discovery: 12%

• To build a model by assessing data and selecting one of the three types of predictions (numeric, binary, multi-classification).
• For business requirements, analyze the model results and propose data improvements to the customer.
• For derived results and insights from the model, adjust data parameters and add/remove data or columns to improve the model.
• To enable prediction features on Lightning record pages across Salesforce and CRM Analytics.
• To monitor and interpret a Model Card to improve or maintain model performance.

What do we offer?

• Full-Length Mock Test with unique questions in each test set
• Practice objective questions with section-wise scores
• The in-depth and exhaustive explanation for every question
• The reliable exam reports to evaluate strengths and weaknesses
• Latest Questions with an updated version
• Tips & Tricks to crack the test
• Unlimited access

What are our Practice Exams?

• Practice exams have been designed by professionals and domain experts that simulate real-time exam scenario.
• Practice exam questions have been created on the basis of content outlined in the official documentation.
• Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
• Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
• You can also create your own practice exam based on your choice and preference