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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Layer | 24% | - Schema design and optimization - Data ingestion and synchronization - Dataflows and recipes - Dataset management and transformation |
| Topic 2: Security | 11% | - Row-level security and sharing - Data encryption and governance - User permissions and access control |
| Topic 3: Tableau CRM Dashboard Design | 19% | - Mobile optimization - Visualization best practices - Interactive design and bindings |
| Topic 4: Administration | 9% | - Platform configuration and provisioning - Deployment and change management - Performance optimization |
| Topic 5: Einstein Discovery Story Design | 19% | - Deploying results to Salesforce - Model creation and evaluation - Data preparation for modeling - Interpreting insights and predictions |
| Topic 6: Tableau CRM Dashboard Implementation | 18% | - Lens and dashboard building - SAQL and query logic - Embedded analytics |
1. Max Analytics API calls per user per hour
A) 50,000
B) 5,000
C) 10,000
D) 100,000
2. What do Analytics apps do?
A) Let you create configuration wizards to make Analytics setup easier
B) Use ready-made dashboards to tell easy-to-follow stories about your data
C) Alert you when you need a visa for an upcoming trip
D) Let you add new types of charts to Salesforce
3. Max story creations per org per day:
A) 20 per org
B) 20 per org per clay
C) 40 per org
D) 40 per org per clay
4. A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarch?
A) delta transformation
B) sfdcDigest transformation
C) digest transformation
D) flatten transformation
5. An insurance company has many Einstein Analytics dashboards that show the influence of weather, such as atmospheric temperature, on customer cases. A service agent commented that it is sometimes difficult to determine, by looking at a dashboard, whether the temperature data is reported in degrees Fahrenheit or in degrees Celsius.
How can a dashboard designer ensure the temperature data is easier to interpret on the dashboards?
A) Add a text widget to the dashboard to indicate Fahrenheit or Celsius.
B) In Explorer, go to the Fields menu and then customize the number format of the measure.
C) Customize the number format in the number widget properties of the dashboard.
D) Use the XMD node in the dataflow to customize the number format of the field.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: A |
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