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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q80-Q85):

NEW QUESTION # 80
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.
Reference: The usage of the "Overwrite" operation for updating datasets with changing data is covered in theAnalytics External Data APIdocumentation, as well as in theWave Analytics Explorermodule.


NEW QUESTION # 81
Universal Containers (UC) recently activated data sync in the CRM Analytics data manager. After running the sync, UC notices that the aggregate sum of a field within the company's dataset is different than what they manually calculated by summing the same data in the Salesforce object.
What is causing the issue with the newly synced data?

Answer: A


NEW QUESTION # 82
In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?

Answer: A


NEW QUESTION # 83
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "* & **( & *(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

Answer: A

Explanation:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as " & **( & (%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.
Reference: You can find the CSV upload rules, including naming conventions and auto-formatting behaviors, outlined in theSalesforce CRM Analyticsdocumentation provided during training, particularly under the module "Wave Analytics Explorer."


NEW QUESTION # 84
CRM Analytics consultant receives a new project from a client that wants to implement CRM Analytics. They do not currently have CRM Analytics but want guidance on how to ensure their users have the correct access.
They have 1,000 users with a small team of three people who will build both datasets and dashboards. An additional 15 people should be able to only create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
Which recommendation should the consultant give the client?

Answer: B

Explanation:
For a client implementing CRM Analytics with a variety of user roles, creating and assigning Salesforce permission sets is the most flexible and scalable solution. Here's why:
* Flexibility and Customization: Permission sets allow for specific access rights to be compiled and assigned based on user roles without altering their existing profiles.
* Scalability: As the organization grows or roles change, permission sets can be easily adjusted or reassigned to accommodate new requirements or users.
* Simplified Management: Managing access via permission sets simplifies the administration of user rights, making it easier to ensure that each group has the appropriate level of access.


NEW QUESTION # 85
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