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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Objectives
Data Management and Preparation	- Dataset creation and configuration in CRM Analytics - Data transformation and dataflows
Security and Access	- Row-level security and sharing rules - App and dataset permissions
Einstein Discovery	- Model building and predictions - Insights interpretation and recommendations
Dashboard and App Development	- Interactive filters and user experience optimization - Lens creation and dashboard design
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 (Q40-Q45):

NEW QUESTION # 40
Which recommended technique should a CRM Analytics consultant
use to access CRM Analytics data from a remote app or website?

A. Export the data to a CSV file and load it on the remote site.
B. Use an iFrame to embed the Salesforcepage in a remote site.
C. Use HTTPS to call the /wave/query API, supplying an encoded SAQL query asa parameter.

Answer: C

NEW QUESTION # 41
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?

A. The column header Is set to *&**(&*(%.
B. The column header is auto-updated to "Column" + column number.
C. The columnheaderis prefixed with "X" upon upload.

Answer: C

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.

NEW QUESTION # 42
A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.
What should the consultant use to complete the migration?

A. Change sets
B. Analytics dashboard connector
C. Analytics External Data API

Answer: A

NEW QUESTION # 43
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?

A. Create two sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.
B. Use a field on the user record like Department/Region, and apply row-level security based on that field.
C. Create two separate datasets; one for EMEA, and one for CXOs and VPs.

Answer: B

NEW QUESTION # 44
Exhibit.

Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?

A. Use result binding/Interaction in the filters section of the query "Type 1".
B. Use "Connect Data Sources" and create a connection to connect the two datasets.
C. Use "Connect Data Sources" and create a connection to connect the two widgets.

Answer: B

NEW QUESTION # 45
......

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