Salesforce Einstein Analytics and Discovery Consultant exam is designed to evaluate an individual’s knowledge and expertise in implementing, designing, and configuring Salesforce’s Einstein Analytics and Discovery solutions. If you want to become a certified Salesforce Einstein Analytics and Discovery Consultant, you need to pass this exam. The exam measures your knowledge of data modeling, dashboard designing, and advanced analytics concepts and in the following fields:
- The Salesforce Einstein Analytics and Discovery Consultant Exam assess your knowledge of data modeling, including data source integration, data transformation, and data governance.
- To pass the exam, you must have a good understanding of dashboard designing, which involves designing and customizing interactive dashboards and visualizations.
- The exam also evaluates your knowledge of advanced analytics concepts such as predictive modeling, natural language processing, and machine learning.
- A good understanding of Salesforce platform knowledge, including experience with Salesforce Sales, Service, Marketing, and Commerce Cloud, is also essential for passing the exam.
It is essential to prepare effectively to pass the exam and showcase your skills to potential employers. In this blog, we will provide you with the necessary skills and knowledge required to pass the Salesforce Einstein Analytics and Discovery Consultant Exam.
Glossary of Salesforce Einstein Analytics and Discovery Terminology
Salesforce Einstein Analytics and Discovery is an online tool for studying data that operates in the cloud. It offers companies valuable insights from their data and presents them in visual formats. It employs advanced artificial intelligence and machine learning to assist individuals in discovering concealed patterns and trends in their data, allowing them to make well-informed business judgments. To aid your comprehension of this tool, we’ve provided a list of frequently employed words and expressions.
- Einstein Analytics: A cloud-based analytics platform that allows users to explore data, create interactive visualizations, and gain insights.
- Discovery: The process of exploring data and discovering insights using Einstein Analytics.
- Dataset: A collection of related data that can be analyzed and visualized in Einstein Analytics.
- Lens: A saved view of a dataset that shows specific data points and visualizations.
- Dashboard: A collection of lenses and other visualizations that provide a high-level overview of key metrics.
- Widget: A visual element that displays data in a specific way, such as a chart or graph.
- Insight: A valuable discovery or conclusion drawn from analyzing data.
- Prediction: An estimate or forecast of future events or trends based on historical data.
- Natural Language Processing (NLP): A part of AI that helps computers understand and make sense of human language.
- Machine Learning (ML): A type of AI that enables computers to learn from data and improve over time without being explicitly programmed.
- Model: A set of algorithms that are used to make predictions or generate insights based on data.
- Dataflow: A sequence of steps that transform and prepare data for analysis.
- Recipe: A set of instructions that specify how data should be transformed within a dataflow.
- Einstein Discovery: An AI-powered tool that automatically analyzes data and generates insights and recommendations.
- Anomaly Detection: The process of identifying data points that deviate significantly from the expected pattern.
- Outlier: A data point that deviates significantly from the expected pattern.
- Correlation: A relationship between two variables where a change in one variable is associated with a change in the other variable.
- Regression: A statistical method that analyzes the relationship between two variables and predicts the value of one variable based on the other.
- Classification: A machine learning method that categorizes data into predefined classes based on its characteristics.
- Cluster Analysis: A statistical method that groups similar data points together based on their characteristics.
- Time Series Analysis: A statistical method that analyzes data over time to identify patterns and trends.
- Dimension: A characteristic or attribute of a dataset, such as a product category or customer segment.
- Measure: A numerical value that can be analyzed, such as sales revenue or customer satisfaction score.
- KPI (Key Performance Indicator): A metric used to evaluate the success or progress of a specific goal or objective.
- Drill Down: The ability to view more detailed information about a specific data point by clicking on it.
- Data Preparation: The process of cleaning, transforming, and organizing data to make it suitable for analysis.
- Data Visualization: The use of charts, graphs, and other visual elements to display data in a way that is easy to understand and analyze.
- Business Intelligence (BI): The process of collecting, analyzing, and using data to inform business decisions.
- Cohort Analysis: A math technique that looks at people who have something in common, like what they buy, to find patterns.
- Predictive Analytics: Using math tricks and computer smarts to guess what might happen in the future by looking at what happened in the past.
Study Guide for Salesforce Einstein Analytics and Discovery Consultant Exam
The Salesforce Einstein Analytics and Discovery Consultant exam is extremely comprehensive in nature. So, starting with the Salesforce Certified Einstein Analytics And Discovery Consultant Exam Preparation, the subsequent details are some of the critical steps that you should take to study an ideal plan for your Salesforce Einstein Analytics and Discovery Consultant preparation. Let’s get started then:
Review the Exam Objectives
For making it easy, be assured that you are up to date with all exam info. To start, visit the Official website of Salesforce and get all the latest information about the exam. Study the Salesforce Certified Einstein Analytics And Discovery Consultant Exam Objectives thoroughly until you feel very sure about them. Also, take a brief look at the different areas covered in the exam.
- Data Layer: 24%
- Security: 11%
- Admin: 9%
- Analytics Dashboard Design: 19%
- Analytics Dashboard Implementation: 18%
- Einstein Discovery Story Design: 19%
Salesforce Training Program
Gaining hands-on experience is an essential experience for exams like Salesforce Einstein Analytics and Discovery Consultant Certification. And, the only way you can achieve this is through a Training Course. You can also become familiar with training courses for this. Salesforce provides several options for candidates. So, visit their website if you want to improve your skills. We strongly suggest taking these training courses. So, go ahead and enroll in one.
- Mobile and Desktop Exploration in Einstein Analytics (ANC101): This training program provides an introduction to the Einstein Analytics platform, with a focus on creating dashboards and exploring data on mobile and desktop devices. Participants will learn how to create datasets, lenses, and dashboards, and explore data in different ways. This training is suitable for beginners and is a great way to get started with the Einstein Analytics platform. Overall, ANC101 is a good training program for those who want to learn the basics of Einstein Analytics and how to use it on mobile and desktop devices.
- Building Lenses, Dashboards, and Apps in Einstein Analytics (ANC201): ANC201 is a more advanced training program that focuses on creating custom lenses, dashboards, and applications in Einstein Analytics. Participants will learn how to use advanced features of the platform, such as custom calculations, filters, and security settings. They will also learn how to create custom applications that can be used by other users in the organization. This training is suitable for intermediate users who want to deepen their knowledge of the platform and learn how to create custom solutions.
- Working with Data and Dashboards in Einstein Analytics (ANC301): This training program is designed for advanced users who want to learn how to work with data in more detail and create complex dashboards. Participants will learn how to create and manage datasets, use advanced data modeling techniques, and create complex dashboards with custom calculations and filters. They will also learn how to use features such as storytelling and data exploration to create interactive dashboards that can be used for decision-making. ANC301 is a good training program for those who want to become experts in the Einstein Analytics platform and develop advanced skills.
Try Trailheads
Trailheads are kind of a specialty of Salesforce. It provides trailheads for most of its certifications. You can visit the official website and learn and practice using Trailhead. If you’re new to this, let’s be clear: Trailhead is crucial for your Salesforce preparation. Here are some Trailheads we recommend:
- Explore with Analytics
- Gain Insight with Einstein Discovery
- Analytics Apps Basics
- Build and Administer Analytics
- Accelerate Analytics with Apps
Salesforce Documentation
As you know, Documentations are the one that leads a candidate to success. Further, Salesforce also offers its own documentation on a very large number of topics. So, for Salesforce Einstein Analytics and Discovery Consultant exam, we at Testprep training advise you to go through the following documentation:
Expert Tips to Pass the Salesforce Einstein Analytics and Discovery Consultant Exam
Passing this exam requires a deep understanding of the platform’s capabilities, features, and best practices. To assist you in getting ready for the Salesforce Einstein Analytics and Discovery Consultant Exam, here are some valuable tips from experts that can improve your chances of passing the test:
- Understand the Data Model: Understanding the data model is crucial for working with Einstein Analytics. Make sure you have a clear understanding of the different data models, including the Salesforce Data Model, External Data Model, and Dataset Model.
- Understand the Security Model: Einstein Analytics has its own security model that you must understand to pass the exam. Learn about the different types of users and roles, as well as how to manage data access and security.
- Know the Analytics Studio: The Analytics Studio is the primary tool for working with Einstein Analytics. Learn about its different features and functions, including the different types of dashboards, lenses, and data flows.
- Understand Data Preparation: Data preparation is a critical step in the analytics process. Learn about the different data preparation techniques, including data wrangling, data cleansing, and data enrichment.
- Understand Data Visualization: Data visualization is a key component of Einstein Analytics. Learn about the different types of charts, graphs, and visualizations, and how to use them to present data effectively.
- Understand Machine Learning: Machine learning is a powerful tool that can be used with Einstein Analytics. Learn about the different types of machine learning algorithms, and how to use them to build predictive models.
- Learn about APIs: Understanding APIs is important for integrating Einstein Analytics with other systems. Learn about the different APIs, including the REST API and the Analytics API.
- Understand Data Integration: Einstein Analytics supports data integration from various sources. Learn about different data integration options, including direct data integration, data replication, and data blending.
- Know the Limitations and Constraints: While Einstein Analytics has numerous features, it also has some limitations and constraints that you must understand. Learn about the platform’s data and storage limitations, as well as the maximum number of rows and columns that can be processed.
- Understand Customization Options: Einstein Analytics allows for extensive customization options, such as custom objects and fields. Learn about the different customization options available, and how to use them to fit your organization’s specific needs.
By keeping these technical points in mind and reviewing the official study material, you can increase your chances of passing the Salesforce Einstein Analytics and Discovery Consultant Exam and demonstrating your expertise in the platform.
What are the skills you will gain from the Salesforce Einstein Analytics and Discovery Consultant certification?
Salesforce Einstein Analytics and Discovery Consultant certification is designed to equip individuals with the knowledge and skills necessary to effectively implement and manage the Salesforce Einstein Analytics platform. The certification covers topics such as data modeling, dashboard design, data exploration, and more, providing individuals with a comprehensive understanding of how to leverage data to drive business insights and make informed decisions. So here are some of the key skills individuals can expect to gain from this certification.
- One of the main skills individuals can expect to gain from the Salesforce Einstein Analytics and Discovery Consultant certification is the ability to design and develop custom analytics solutions that are tailored to meet specific business needs. This includes the ability to create data models that accurately represent business processes, as well as the ability to design and develop dashboards and reports that effectively communicate key insights to stakeholders.
- People can learn how to explore data really well. This means finding trends, patterns, and unusual things in big sets of data. They’ll also know how to use advanced tools like machine learning and understanding human language to get information from messy data.
- You can expect to gain a thorough understanding of the Salesforce Einstein Analytics platform, including its key features and capabilities, as well as best practices for managing and maintaining the platform over time. This includes the ability to troubleshoot common issues and optimize the platform to ensure maximum performance and scalability.
Key Takeaways for the Salesforce Einstein Analytics and Discovery Consultant exam
Becoming a Salesforce Einstein Analytics and Discovery Consultant can be a challenging yet rewarding career choice. It requires knowledge of the Salesforce platform, data analytics, and visualization skills. Here are some key takeaways to keep in mind while pursuing this path:
- Master the Salesforce platform and understand its various features and functionalities.
- Learn data analytics techniques and tools such as statistical analysis, data modeling, and data visualization.
- Acquire knowledge of Einstein Analytics and Discovery tools and their implementation.
- Develop problem-solving skills to identify business problems and suggest data-driven solutions.
- Gain experience by working on real-world projects, and building proof of concepts and prototypes.
- Connect well with clients and the people involved to figure out what they want, and then provide solutions that work for them.
- Familiarize yourself with the data ingestion process and ETL (Extract, Transform, Load) methodologies to ensure the data being analyzed is accurate and reliable.
- Learn how to create custom datasets and measures to manipulate data for analysis and insights, and how to leverage machine learning to identify patterns and make predictions.
- Understand the different types of visualizations and when to use them to effectively communicate data insights to stakeholders.
- Stay informed about the newest things happening in data analytics and what’s new in Salesforce. This helps you offer the best to clients and stay competitive.
By following these key takeaways and continually improving your skills, you can become a valuable asset to any organization looking to harness the power of data.
Expert’s Corner
Becoming a certified Salesforce Einstein Analytics and Discovery Consultant can be a game-changer for your career in the field of analytics and data science. To pass the Salesforce Einstein Analytics and Discovery Consultant Exam, it is crucial to have a thorough understanding of data modeling, dashboard designing, advanced analytics concepts, and the Salesforce platform. By mastering these skills, you can confidently appear for the exam and increase your chances of passing it on the first try. Best of luck on your journey to becoming a certified Salesforce Einstein Analytics and Discovery Consultant!
