Salesforce Einstein Analytics and Discovery Consultant Study Guide

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The Salesforce Einstein Analytics And Discovery Consultant Certification is for people who know about bringing in data, making it secure, and creating dashboards. It also tests your basic skills to create and support apps, data sets, dashboards, and stories in Einstein Analytics and Discovery.

Exam Components

The Salesforce Certified Einstein Analytics And Discovery Consultant Exam covers three components:

  • Firstly, Einstein Analytic: The Einstein Analytics includes the data manager, through which you can bring in, modify, and publish data from different sources for enterprise database solutions
  • Secondly, Einstein Discovery: Under the Einstein Discovery analyse and gain insights from datasets. Also helps in presenting datasets in an easy format.  It consists on analysis of what happened, why it happened and how to improve a certain variable you’ve given it (such as revenue, product sales, etc.)
  • Thirdly, Einstein Prediction Builder: The Einstein Prediction Builder is a forecasting software. Its concepts are not covered in the exam.

Target Audience

The exam is open to those who have a basic understanding of how Salesforce Einstein works. The typical candidates for this exam have experience and skills in both Einstein Analytics and Einstein Discovery.

Key Skills Required

  • Firstly, certification or experience with other business intelligence (BI), extract-transform-load (ETL), analytics, and reporting tools.
  • Next, you should know how to design dashboards that look good and work well on both mobile devices and computers.
  • You should also be good at using Salesforce Analytics Query Language (SAQL) and Salesforce Object Query Language (SOQL) to read and write data.
  • Further, competency in developing ETL processes for dataset preparation and management.
  • Additionally, understanding of Master Data Management (MDM).
  • Furthermore, competency with developing stories in Einstein Discovery.
  • Also, working knowledge of data science life cycle.
  • Moreover, working knowledge of statistical analysis.
  • Then, working knowledge of data modeling.
  • Subsequently, experience leading technical projects.
  • And, competency in administering, configuring, and securing Einstein Analytics.
  • Further, optional experience with administration, configuration, and securing Salesforce.
  • Lastly, Configure and perform writeback to Salesforce for Discovery models.

Study Guide for Salesforce Einstein Analytics and Discovery Consultant Exam

The Salesforce Einstein Analytics and Discovery Consultant exam is definitely a hard nut to crack. Achieving this certification brings wonders to your career opportunities.  With proper guidance and resources you can definitely excel this exam. Here we provide you are step by step preparatory guide that caters to all your needs and requirements for the exam preparation.

Salesforce Einstein Analytics and Discovery Consultant study guide

Step 1 – Refer the Official Guide

The first step is to download the Salesforce Certified Einstein Analytics And Discovery Consultant Exam Guide. The exam guide provides the authentic details about the exam course. Remember to refer the exam guide to have prior knowledge of your course that too in details. Also familiarise yourself with the course concepts. You should have complete clarity about the exam details before venturing into the preparations, therefore the official guide is a must. This exam overs the following 6 domains :

Data Layer: 24%

In this domain given data sources, use Data Manager to extract and load the data into the Einstein Analytics application to create datasets.  Describe how the Salesforce platform features map to the Model-View-Controller (MVC) pattern. Also given business needs and consolidated data, implement refreshes, data sync (replication), and/or recipes to appropriately solve the basic business need. Identify the common scenarios for extending an application’s capabilities using the AppExchange. Further, given a situation, demonstrate knowledge of what can be accomplished with the Einstein Analytics API. Then, given a scenario, use Einstein Analytics to design a solution that accommodates dataflow limits.

Security: 11%

This domain focuses on given governance and Einstein Analytics asset security requirements, implement necessary security settings including users, groups, and profiles. Also, given row-based security requirements and security predicates, implement the appropriate dataset security settings. Moreover, implement App sharing based on user, role, and group requirements.

Admin: 9%

This domain includes sing change management strategies, manage migration from sandbox to production orgs. Then, given user requirements or ease of use strategies, manage dataset extended metadata (XMD) by affecting labels, values, and colours. Also, given a scenario, improve dashboard performance by restructuring the dataset and/or data using lenses, pages, and filters. Further, given business and access requirements, enable Einstein Analytics, options, and access as expected.

Analytics Dashboard Design: 19%

This domain aims at developing an understanding of concepts when given a customer situation, determine and define their dashboarding needs. given customer requirements, create meaningful and relevant dashboards through the application of user experience (UX) design principles and Einstein Analytics best practices. Also, given business requirements, customize existing Einstein Analytics template apps to meet the business needs.

Analytics Dashboard Implementation: 18%

Moreover, this domain covers given business requirements, define lens visualizations such as charts to use and dimensions and measures to display. given customer business requirements, develop selection and results bindings with static queries. Also given business expectations, create a regression time series. Then, given customer requirements, develop dynamic calculations using compare tables. Further, given business requirements that are beyond the standard user interface (UI), use Salesforce Analytics Query Language (SAQL) to build lenses, configure joins, or connect data sources.

Einstein Discovery Story Design: 19%

Lastly, this domain focuses on given a dataset, use Einstein Discovery to prepare data for story output by accessing data and adjusting outputs.

Salesforce Einstein Analytics and Discovery Consultant online tutorials

Step 2 – Refer Books- your ultimate friends

Books have always been the most preferred resource while preparing for any exam. They are a golden resource to gain in depth clarity about the subject. There are a great number of books available in the market place for the preparation of Salesforce Einstein Analytics and Discovery Consultant exam. Refer the books that best suit you from the plethora of options.

We recommend you to refer the Salesforce Certified Einstein Analytics and Discovery Consultant by Saransh Paliwal

Step 3 – Devise a Time Schedule

While preparing for any exam, you must focus on avoiding distractions. You need to chalk out a study plan keeping in mind the syllabus concepts and time left till the actual exam. Begin with strengthening your weaker areas and then moving on. Also try devoting time to your preparations daily. Remember, consistency is the key and a study plan will surely help you achieve this credential.

Step 4 – Go for Salesforce Training Course

Training courses help you follow a guided path with tutorials and increases your chances of clearing the exam. Also it helps you in learning how to implement the exam concepts in real life, thereby providing you practical experience and hands on training.

Salesforce offers its own training course by Trailmix. Trailmix offers instructor led training course. It helps you interact with your instructor in real time and also is beneficial in clarifying your doubts.

Instructor led training courses offered are a follows

Mobile and Desktop Exploration in Einstein Analytics (ANC101)

Building Lenses, Dashboards and Apps in Einstein Analytics (ANC201)

Working with Data and Dashboards in Einstein Analytics (ANC301)

Also, Salesforce offers its course modules and super badges to promote self-training. A super badge is a skill-based, domain-level credential and the closest thing you can get to real-world experience on Trailhead

Trailhead Superbadges for Salesforce Einstein Analytics and Discovery Consultant exam:

Firstly, Einstein Analytics Data Preparation Specialist

Secondly, Einstein Analytics and Discovery Insights Specialist Superbadge

Salesforce Einstein Analytics and Discovery Consultant online tutorials

Step 5 – Join the Community

Online discussion boards and study groups are a helpful way to get ready for the certification exam. So, connect with other candidates through these forums and gain insights from their experiences.

Salesforce’s own Community known as Trailblazer Community helps you collaborate and study with your fellow candidates. It also helps you to connect and get answers from this very passionate community.

Step 6 – Attempt Practice Tests

We know that Practice makes a man perfect. Including Salesforce Einstein Analytics And Discovery Consultant Practice Exam in your preparation guide is a must. It helps you check your preparations and also identifies you weaker areas. Strengthening these areas will surely bring success. Practice tests are designed to provide the real exam environment to you. Also, attempt as many tests as you can. The more you practice, the better you become. Lets Start Practising Now!

Salesforce Einstein Analytics and Discovery Consultant free practice tests
Boost your career and qualify for Salesforce Einstein Analytics and Discovery Consultant exam Now!

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