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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Tableau CRM Dashboard Design | 19% | - Visualization best practices - Interactive design and bindings - Mobile optimization |
| Administration | 9% | - Performance optimization - Platform configuration and provisioning - Deployment and change management |
| Data Layer | 24% | - Schema design and optimization - Data ingestion and synchronization - Dataset management and transformation - Dataflows and recipes |
| Security | 11% | - User permissions and access control - Row-level security and sharing - Data encryption and governance |
| Einstein Discovery Story Design | 19% | - Interpreting insights and predictions - Data preparation for modeling - Deploying results to Salesforce - Model creation and evaluation |
| Tableau CRM Dashboard Implementation | 18% | - SAQL and query logic - Lens and dashboard building - Embedded analytics |
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
Question #1
Which of these standard deviations is for a curve that has values that are the most spread out away from the average?
A. 1
B. 8
C. 4
D. 16
Question #2
The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they can calculate the Sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales representative, the target amount, and the month of the target. For each sales representative, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?
A. Upsert
B. Update
C. Append
D. Overwrite
Question #3
Why is it important to select the right root object when you use the dataset builder?
A. Only data from the root object can be included in the dataset.
B. The root object determines what app the dataset is saved in.
C. The root object determines what related objects you can add to the dataset.
D. The root object determines who can see the dataset.
Question #4
The Vice President of Sales wants to create a "Pipeline Trending" dashboard in Einstein Analytics that displays specific colors depending on the values of the fields.
Which two techniques can a consultant use to help address this requirement? Choose 2 answers
A. Use SAQL queries to calculate a color field and assign it to each field value.
B. Use an XMD file and assign colors to each field value.
C. Use a compute Expression to calculate a color field and assign it to each field value.
D. Use the "fields" menu when exploring the dataset and assign colors to each field value.
Question #5
What is an Analytics app?
A. Analytics for iPad
B. The blueprint for your org's Einstein Analytics implementation
C. A specialized version of the Einstein Analytics platform that runs outside of Salesforce
D. A collection of datasets, dashboards, lenses, and a dataflow
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: D | Question #3 Correct Answer: C | Question #4 Correct Answer: B,D | Question #5 Correct Answer: D |


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