Analytics-Con-201 Latest Mock Test, Study Materials Analytics-Con-201 Review

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Free PDF 2026 Latest Salesforce Analytics-Con-201: Salesforce Certified CRM Analytics and Einstein Discovery Consultant Latest Mock Test

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q111-Q116):

NEW QUESTION # 111
The CRM Analytics consultant at Cloud Kicks is asked to a dashboard displaying Opportunities data on the account's record page. The dashboard should display only opportunity data related to the current account viewed.
How should the consultant accomplish this?

A. Create the dashboard, insert in the account's record page, and apply a filter based on the opportunity's Id field.
B. Create a dashboard, clone it and filter It for each account record, and embed them into the account's record pages accordingly.
C. Create the dashboard, insert in the account's record page, and apply a filter based on the account's Id field.

Answer: C

NEW QUESTION # 112
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 auto-updated to "Column" + column number.
B. The columnheaderis prefixed with "X" upon upload.
C. The column header Is set to *&**(&*(%.

Answer: B

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 # 113
Exhibit.

Universal Containers has a dashboard for sales managers to visualize the Year Over Year (YoY) growth of their customers. The formula used is:
YoY = [(This Year - Last Year) / Last Year] %
Based on the graphic, when there is not an account in the Last Year column, the YoY Growth shows null results. The sales managers want to replace it with 100% value.
What is the correct function to use?

A. substr()
B. replace()
C. coalesce()

Answer: C

NEW QUESTION # 114
The sales team at Cloud Kicks is requesting that datasets for their dashboards be refreshed every hour. The CRM Analytics consultant investigates if this is possible and finds that the dashboards use five datasets created from two recipes. The first recipe takes 43 minutes to run and the second recipe takes 25 minutes to run.
Which consideration should the consultant keep in mind?

A. The number of concurrent recipe run limits that are associated with the org.
B. The total duration of the recipe runtimes can exceed the limit of 1 hour.
C. The number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.

Answer: B

Explanation:
In CRM Analytics, recipes are used to prepare and combine data for datasets. The total duration of the recipe runtime is an important consideration when scheduling dataset refreshes. In this case, the combined runtime for both recipes (43 minutes + 25 minutes = 68 minutes) exceeds 1 hour. Since dataset refreshes cannot be scheduled more frequently than the total recipe runtime, it would beimpossible to refresh the datasets every hour. This limitation must be considered when managing dataset refresh schedules.
Reference: Recipe runtime limits and considerations for scheduling refreshes are discussed in the CRM Analytics documentation related to recipes and dataflow optimizations.

NEW QUESTION # 115
Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?

A. Use the combination of recipe transformations: "join" and "filter".
B. Use the recipe node "delete" and set "userID" as the deletion ID.
C. Use the "update" transformation and utilize the "filter" node.

Answer: A

Explanation:
Reference:CRM Analytics Recipes: Join and Filter Transformations

NEW QUESTION # 116
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