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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Objectives |
| Analytics Dashboarding | - Lenses and Dashboards
- 1. Lens exploration and visualization types
- 2. Creating and configuring dashboards
|
| Data Layer and Data Management | - Data Modeling and Data Sources
- 1. Data ingestion and transformation concepts
- 2. Understanding CRM Analytics datasets
|
| Data Preparation and Dataflows | - Data Preparation Tools
- 1. Recipes and dataflows usage
- 2. Data transformation logic
|
| Security and Access | - Row-Level Security
- 1. Security predicates and sharing inheritance
|
| Einstein Discovery | - Predictive Modeling Concepts
- 1. Story creation and interpretation
- 2. Insights and recommendations
|
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
1. What happens if you first disable Analytics, and then you re-enable Analytics later? Select 2
A) You must not define the permission sets again if Analytics is re-enabled.
B) User permissions are removed from each defined permission set if Analytics is disabled. (Missed)
C) You must define the permission sets again if Analytics is re-enabled. (Missed)
D) User permissions are not removed from each defined permission set if Analytics is disabled.
2. A story created has an AUC of .62.
What two things could be done to possible improve this AUC score?
Choose 2 answers
A) Segment the training set.
B) Run detect sentiment on the dataflow before creating the story.
C) Add more rows of relevant data.
D) Change the order of the story insights to descending.
3. A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build.
Which two design considerations should be determined at this time? Choose 2 answers
A) How many charts should be allowed on a single dashboard
B) Which colors to use and how to use them
C) Which charts to use to best support the defined goal
D) Which fonts to use for headers and body text
4. When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5
A) Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
B) yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
C) No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
D) No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
5. What is a keyword in SAQL? And what case must it be in?
Solutions:
Question # 1 Answer: B,C | Question # 2 Answer: B,D | Question # 3 Answer: B,C | Question # 4 Answer: C | Question # 5 Answer: Only visible for members |