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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q29-Q34):

NEW QUESTION # 29
Universal Containers is setting up a Sales Analytics app to track the sales performance across all regions. The role hierarchy is well-structured with separate branches for various global regions.
Viewer access has been provided to the regional sales reps based on the following roles.
* Regional Sales - APAC
* Regional Sales - EMEA
* Regional Sales - LATAM
* Regional Sales - NA
The CRM Analytics project team receives a request to extend Editor
access to the app to 20 'Superusers' across all regions.
What is the optimal solution?

A. Create a new sharing rule for these users and assign it the Editor app access.
B. Create new roles for these users and assign them the Editor app access.
C. Create a new public group with these users and assign it the Editor app access.

Answer: C

NEW QUESTION # 30
What is the purpose of the CRM Analytics Dashboard Inspector?

A. To view the total time required to run all queries.
B. To automatically remove bottlenecks to make queries run faster.
C. To see the final query for each widget along with the results.

Answer: C

Explanation:
The CRM Analytics Dashboard Inspector is a powerful tool used to troubleshoot and optimize dashboards. Its primary function is to display the underlying SAQL (Salesforce Analytics Query Language) query executed for each widget. It helps users see the final query that is run and the corresponding results. This feature allows CRM Analytics consultants and developers to diagnose issues, optimize performance, and understand how data is being processed in the dashboard.
While the Inspector helps view execution times and identify bottlenecks, it does not automatically resolve performance issues (which is why option B is incorrect). It simply provides visibility into query performance and execution details, allowing the user to make manual optimizations.

NEW QUESTION # 31
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

A. Use the Einstein Discovery flow action to make a prediction with the flow.
B. Write an Apex class with Einstein Discovery Predictions and append them to process.
C. Create a trigger on Case objectand use REST APIs to append the predictions intothe business process.

Answer: A

NEW QUESTION # 32
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 columnheaderis prefixed with "X" upon upload.
B. The column header is auto-updated to "Column" + column number.
C. The column header Is set to *&**(&*(%.

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.

NEW QUESTION # 33
A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?

A. The consultant has set up a dashboard filter condition for data to be visible to system administrators only.
B. The consultant has set up/enabled a 'Hide on Error' feature for the dashboard while embedding it.
C. The consultant has set up component visibility for the dashboard for system administrators only.

Answer: C

NEW QUESTION # 34
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