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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionObjectives
Topic 1: Einstein Discovery- Model building and predictions
- Insights interpretation and recommendations
Topic 2: Security and Access- App and dataset permissions
- Row-level security and sharing rules
Topic 3: Dashboard and App Development- Lens creation and dashboard design
- Interactive filters and user experience optimization
Topic 4: Data Management and Preparation- Data transformation and dataflows
- Dataset creation and configuration in CRM Analytics
Topic 5: Data Integration and Connectivity- Data synchronization and refresh strategies
- Connecting external data sources

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q105-Q110):

NEW QUESTION # 105
What are various ways to incorporate blank space in a CRM Analytics dashboard?

Answer: A

Explanation:
Incorporating blank space into a CRM Analytics dashboard can be achieved effectively through the following methods:
* Cell Spacing Layout Property: This allows for consistent spacing between cells, helping to create a visually organized and less cluttered dashboard.
* Increasing Dashboard Granularity via Columns: Using blank columns as a method to create deliberate space can help in visually separating different dashboard elements, enhancing readability and focus.
These methods ensure that the dashboard is not only functional but also aesthetically pleasing and easy to navigate.


NEW QUESTION # 106

Which timeseries statement will fix the query?

Answer: C


NEW QUESTION # 107
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

Answer: A


NEW QUESTION # 108
In Data Alerts, a field named Region is 96.5% North America. The consultant believes that this is an important field since the majority of sales is in the North American market.
What is the appropriate action?

Answer: A


NEW QUESTION # 109
Universal Containers plans to upload target data from an external tool to CRM Analytics so it 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 rep, the target amount, and the month of the target. For each sales rep, 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?

Answer: B

Explanation:
For uploading target data that changes on a monthly basis and includes historical data (previous years' targets), the appropriate operation is "Overwrite." This ensures that each time the CSV file is uploaded, the existing data in the dataset is replaced with the new data. This is critical because the target data includes both current and historical data, and using "Overwrite" will update the entire dataset while maintaining historical accuracy.
"Append" would add new data without replacing the old records, leading to duplication, and "Update" is not suitable for completely replacing data in this context.


NEW QUESTION # 110
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