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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Einstein Discovery | - Predictive Modeling Concepts
|
| Topic 2: Security and Access | - Row-Level Security
|
| Topic 3: Data Layer and Data Management | - Data Modeling and Data Sources
|
| Topic 4: Analytics Dashboarding | - Lenses and Dashboards
|
| Topic 5: Data Preparation and Dataflows | - Data Preparation Tools
|
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
Question #1
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. 30
B. 35
C. 25
D. 45
Question #2
Which isn't an option for setting a security predicate for a dataset created from an external data file?
A. In the metadata file associated with the external data file using the rowLevelSecurityFilter key
B. On each row prior to upload
C. In the Register transformation node of a dataflow that uses this dataset
D. In the dataset Security Predicate
Question #3
What is a valid permission for a permission set?
A. Sales Analytics Apps
B. Access Sales Cloud Analytics Templates and Apps
C. Enable Parental Control
D. Always Sign Me Up for Dreamforce
Question #4
Refer to the graphic.
Which conclusion can be made regarding the strength of the model shown?
A. The strength of the model cannot be determined with the metrics shown.
B. The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.
C. The model is very weak and doesn't provide useful predictions due to the low threshold.
D. The model is very strong. A GINI coefficient of .535 shows that this model is very effective.
Question #5
A consultant has created a story to maximize the daily sales quantity of consumer products in stores. After creating a story, the consulting is presented with this data alert by Einstein Discovery (see graphic).
What are two appropriate actions to take?
Choose 2 answers
A. Remove the outliers as suggested by Einstein and deploy the model.
B. Remove the outliers as suggested by Einstein, and verify using model metrics and story insights if the quality improved.
C. Discuss with the client if values below 0 and above 2,489 are so uncommon that they should perhaps be left out of the story.
D. Manually remove the sales bellow 0 (negative sales must be a data issue), but keep the large value (the more data, the better the model will be).
Solutions:
| Question #1 Correct Answer: A | Question #2 Correct Answer: B | Question #3 Correct Answer: B | Question #4 Correct Answer: C | Question #5 Correct Answer: A,C |
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