Salesforce Analytics-Con-201 : Salesforce Certified CRM Analytics and Einstein Discovery Consultant

Exam Code: Analytics-Con-201

Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant

Updated: Aug 26, 2026

Q & A: 117 Questions and Answers

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Analytics-Con-201 exam dumps

Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analytics Dashboard Design20%- Design and build CRM Analytics dashboards
  • 1. Describe the use cases for Visualforce and Lightning components
  • 2. Use Lenses and Dashboards
  • 3. Apply design best practices
Topic 2: Einstein Discovery20%- Implement Einstein Discovery
  • 1. Configure and deploy Einstein Discovery models
  • 2. Integrate predictions into CRM Analytics dashboards
- Describe Einstein Discovery concepts
  • 1. Explain the model building process
  • 2. Identify the use cases for Einstein Discovery
  • 3. Interpret model results
Topic 3: Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Apply query filters
  • 2. Set up dynamic dashboards
  • 3. Configure bindings
Topic 4: Data Layer25%- Identify the right data sources and data flows for CRM Analytics
  • 1. Describe use cases for Data Prep (Dataflows and Recipes)
  • 2. Define datasets
  • 3. Describe how Salesforce objects map to CRM Analytics
- Implement and configure the right data transformations
  • 1. Use Data Prep actions
  • 2. Identify and resolve data sync issues
Topic 5: Security10%- Determine security and sharing settings
  • 1. Implement row-level security
  • 2. Describe how Salesforce security is applied in CRM Analytics

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

Question 1

A CRM Analytics administrator is working on deploying a dashboard and a dataset from a developer sandbox to a full sandbox. They have deployed the dataset via change set and manually copy-pasted the dashboard JSON into the target org. However, they notice that the conditional formatting and the widget-specific number formats have been lost in the target environment.
What is causing this issue?

A. Analytics Dashboard XMD was NOT included as part of the deployment package.
B. The recipe that generated the dataset also needs to be included as part of the package.
C. Analytics Dataset XMD was NOT included as part of the deployment package,


Question 2

A manager at Cloud Kicks wants to separate and analyze accounts based on numeric information of its opportunity records. The data includes things like amount, quantity of products, contacts, and quotes.
How should the CRM Analytics consultant accomplish this?

A. Aggregate to summarize related data to account level.
B. Bucket for each measure and then use a global bucket to segment accounts.
C. Cluster in the recipes and select the metrics used for clusterization.


Question 3

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


Question 4

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?

A. In the explorer's field panel, select the boolean fields and use the "edit values" option on the fields to change values and colors.
B. Create an XMD node in the recipe to change the label and color of the values in the fields.
C. Select the boolean fields in the explorer's field panel, select the boolean fields, then create a derived dimension.


Question 5

Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?

A. Update the app with the new field after installation.
B. Cancel running installations from Setup
C. Stop the recipe from running in Data Manager.


Solutions:

Question 1
Answer: C
Question 2
Answer: A
Question 3
Answer: B
Question 4
Answer: A
Question 5
Answer: C

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