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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Security	10%	- Determine security and sharing settings 1. Implement row-level security 2. Describe how Salesforce security is applied in CRM Analytics
Einstein Discovery	20%	- Describe Einstein Discovery concepts 1. Interpret model results 2. Explain the model building process 3. Identify the use cases for Einstein Discovery - Implement Einstein Discovery 1. Integrate predictions into CRM Analytics dashboards 2. Configure and deploy Einstein Discovery models
Analytics Dashboard Configuration	25%	- Configure dashboards 1. Apply query filters 2. Set up dynamic dashboards 3. Configure bindings
Data Layer	25%	- Identify the right data sources and data flows for CRM Analytics 1. Describe use cases for Data Prep (Dataflows and Recipes) 2. Describe how Salesforce objects map to CRM Analytics 3. Define datasets - Implement and configure the right data transformations 1. Use Data Prep actions 2. Identify and resolve data sync issues
Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Use Lenses and Dashboards 2. Apply design best practices 3. Describe the use cases for Visualforce and Lightning components

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q34-Q39):

NEW QUESTION # 34
A CRM Analytics administrator is working on deploying a dataflow and a dataset (generated by this dataflow) to another org.
While creating a change set, they notice that the components are NOT visible to be included in the change set.
What is the reason for this?

A. Assets are kept in the Private App and are unavailable to include in the change set.
B. The administrator does NOT have access to the assets on CRM Analytics.
C. The administrator does NOT have system administrator permission to include the assets In the change set,

Answer: A

NEW QUESTION # 35
A CRM Analytics consultant wants to move a dataflow to a recipe in order to use aggregation nodes. To do so, they use the Dataflow to Recipe convertor and the recipe runs successfully.
However, they are unable to see the aggregated data in the dataset.
What is causing the issue?

A. The dataflow has to be turned off and only the recipe should run.
B. The convertor has created a new dataset with a new ID.
C. The recipe has to be turned off and only the dataflow should run.

Answer: B

NEW QUESTION # 36
CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?

A. Clarity - Efficiency - Consistency
B. Priority - Logic - Level of Granularity
C. Purpose - Structure - Surface

Answer: C

NEW QUESTION # 37
Cloud Kicks has a dashboard that displays accounts and opportunities data in a table that contains actions to open the records in Salesforce. Since the company has allowed several accounts to be created with the same names, when users try to perform actions, they are prompted with only a record ID to select, leaving the users confused and unable to act.
How should the CRM Analytics consultant solve this problem?

A. Insert more fields in the dataset action "Display Fields" so the users know which account they are acting on.
B. Ask the admin to start applying duplicate rules based on the account's Name field.
C. Discuss with the stakeholders If the action Is really necessary for the table.

Answer: A

NEW QUESTION # 38
What is the purpose of the CRM Analytics Dashboard Inspector?

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

Answer: A

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 # 39
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