Salesforce Analytics-Con-201 Q&A - in .pdf

  • Analytics-Con-201 pdf
  • Exam Code: Analytics-Con-201
  • Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
  • Updated: Aug 19, 2026
  • Q & A: 117 Questions and Answers
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  • Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
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  • Updated: Aug 19, 2026
  • Q & A: 117 Questions and Answers
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Salesforce Analytics-Con-201 Q&A - Testing Engine

  • Analytics-Con-201 Testing Engine
  • Exam Code: Analytics-Con-201
  • Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
  • Updated: Aug 19, 2026
  • Q & A: 117 Questions and Answers
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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A user is able to access the dashboards, lenses, and datasets of a particular app but is unable to change the name of the specific app.
What is causing the issue?

A) The user does not have Manager access for that app.
B) The app name cannot be changed once created.
C) The user does not have Editor access for that app.


2. The CRM Analytics consultant at Cloud Kicks (CK) notices that a specific dashboard is showing a different date and time from their locale. Upon investigating, they find that the recipe and datasetswere created from a locale with a PST time zone while CK is in the CET time zone.
What led to this problem?

A) The developer turned off dynamic time zone in CRM Analytics settings.
B) The dataset metadata locale Is not overridden by Individual user locale settings.
C) Data within datasets is modified for localization or internationalization.


3. What is the purpose of the CRM Analytics Dashboard Inspector?

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


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


5. Universal Containers intends to use a custom Salesforce big object in its org and visualize the data using CRM Analytics. As the number of rows to be synced is quite large, the CRM Analytics consultant is looking to set up an incremental sync with additional filters added as part of the data sync to improve performance.
What should the consultant keep in mind while implementing this?

A) Only SOSL queries can be used as data syne filters.
B) Incremental data syne Is NOT supported for big objects.
C) Custom big objects are NOT supported by CRM Analytics.


Solutions:

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

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