Salesforce Tableau CRM Einstein Discovery Consultant: Tableau-CRM-Einstein-Discovery-Consultant Exam


"Salesforce Tableau CRM Einstein Discovery Consultant", also known as Tableau-CRM-Einstein-Discovery-Consultant exam, is a Salesforce Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 244 Q&As to your Tableau-CRM-Einstein-Discovery-Consultant Exam preparation. In the Tableau-CRM-Einstein-Discovery-Consultant exam resources, you will cover every field and category in Salesforce Consultant Certification helping to ready you for your successful Salesforce Certification.

  • Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
  • Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant
  • Total Questions: 244

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

SectionObjectives
Data Preparation and Dataflows- Data Preparation Tools
  • 1. Recipes and dataflows usage
    • 2. Data transformation logic
      Einstein Discovery- Predictive Modeling Concepts
      • 1. Story creation and interpretation
        • 2. Insights and recommendations
          Security and Access- Row-Level Security
          • 1. Security predicates and sharing inheritance
            Analytics Dashboarding- Lenses and Dashboards
            • 1. Creating and configuring dashboards
              • 2. Lens exploration and visualization types
                Data Layer and Data Management- Data Modeling and Data Sources
                • 1. Understanding CRM Analytics datasets
                  • 2. Data ingestion and transformation concepts

                    Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

                    Question 1

                    An Einstein Analytics consultant is notified of a performance issue with data sync (replication). The consultant researches the issue and determines that unnecessary data is being synced.
                    Which solution should the consultant implement to help improve data sync (replication) performance?

                    A. Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.
                    B. Scale down the number of datasets to help improve data sync (replication) performance.
                    C. Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.
                    D. Modify dataflows to exclude unused fields and include a filter to extract relevant data.


                    Question 2

                    When organizing information in an Einstein Analytics dashboard, what does the "Progressive Disclosure' design principle mean'

                    A. Implement strict security predicates to minimize the amount of information displayed to users.
                    B. Utilize the latest templates for the most modern look and feel.
                    C. Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.
                    D. Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.


                    Question 3

                    A consultant built an Einstein Analytics dashboard for a shipping company. The dashboard displays data from several data sources- The consultant enabled data sync (replication) to increase the speed of data refreshing from these sources.
                    What is the maximum number of dataflow definitions available in this situation?

                    A. 45
                    B. 35
                    C. 25
                    D. 30


                    Question 4

                    What are the 3 basic actions within a query in Analytics? Choose 3:

                    A. Display the results graphically
                    B. Grouping by a dimesnsion
                    C. Count rows by measure you want to visualize.
                    D. Filter to narrow down your results.
                    E. Aggregate by a measure


                    Question 5

                    Max number of dataflow definitions (with data sync enabled)

                    A. 15
                    B. 35
                    C. 55
                    D. 25


                    Solutions:

                    Question 1
                    Answer: A
                    Question 2
                    Answer: C
                    Question 3
                    Answer: D
                    Question 4
                    Answer: B,D,E
                    Question 5
                    Answer: B

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