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Salesforce Tableau CRM Einstein Discovery Consultant Certification Exam is an excellent opportunity for professionals to demonstrate their expertise in Salesforce's analytics and AI solutions. Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) certification provides a valuable credential that can help professionals advance their careers and differentiate themselves in a competitive job market. With a wide range of topics covered and a rigorous exam format, the certification is a true test of a candidate's knowledge and skills in the field.

Reference: https://trailhead.salesforce.com/help?article=Salesforce-Certified-Tableau-CRM-and-Einstein-Discovery-Consultant-Exam-Guide

Salesforce Tableau-CRM-Einstein-Discovery-Consultant certification is a valuable credential for professionals who work in the field of data analysis and business intelligence. It demonstrates a high level of expertise and knowledge in this area, and can help individuals advance their careers and enhance their professional credibility.

Salesforce Tableau CRM Einstein Discovery Consultant Exam is designed to test the skills and knowledge of professionals who are involved in the implementation and use of Salesforce Tableau CRM Einstein Discovery. Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) certification is ideal for consultants, analysts, and business leaders who want to demonstrate their expertise in using Tableau CRM and Einstein Discovery to help their organizations make data-driven decisions.

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Salesforce Tableau-CRM-Einstein-Discovery-Consultant certification exam tests the knowledge and skills of individuals in the areas of Salesforce, Tableau, CRM, and Einstein Discovery. Individuals who pass Tableau-CRM-Einstein-Discovery-Consultant-JPN exam demonstrate that they have a deep understanding of these technologies and can successfully implement them in a variety of business scenarios. Salesforce Tableau CRM Einstein Discovery Consultant (Tableau-CRM-Einstein-Discovery-Consultant日本語版) certification exam is designed to test both the theoretical knowledge and practical skills of individuals.

Salesforce Tableau-CRM-Einstein-Discovery-Consultant日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Layer24%- Data extraction from sources
- Incremental sync configuration
- Data transformation and loading into Einstein datasets
- Dataflow configuration for multi-object scenarios
- Understanding denormalized sequential datasets
- Troubleshooting failed dataflow jobs
Topic 2: Administration16%- SAQL query language for dashboard JSON and lens queries
- Managing CRM Analytics environment and configurations
- Embedding analytics in Salesforce
- Understanding recipes (Data Prep) for visual ETL interface
Topic 3: Analytics Dashboard Implementation19%- Configuring dashboards using accurate query types and widget-level parameters
- Implementing delivery management strategies using versioning and/or Dashboard Publisher
- Developing selection/result interactions with different query types
- Using advanced functionality such as windowing and time series analysis in compare tables
- Making dashboards actionable and accessible in Lightning pages
- Monitoring and optimizing query performance using Dashboard Inspector
Topic 4: Analytics Dashboard Design13%- Identifying appropriate use and configuration of standard CRM Analytics templated apps
- Creating dashboards following CRM Analytics best practices and UX design principles
- Scoping, validating, and prioritizing dashboard design requirements
Topic 5: Einstein Discovery12%- Building models by assessing data and selecting prediction types (numeric, binary, multi-classification)
- Analyzing model results and proposing data improvements
- Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics
- Adjusting data parameters and adding/removing data or columns to improve models
- Monitoring and interpreting Model Cards to improve or maintain model performance
Topic 6: Security16%- Implementing security settings for users, groups, and profiles
- App sharing based on user and group requirements
- Dataset security settings using sharing inheritance and security predicates

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