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

Salesforce Analytics-Con-201 test insides dumps
  • Exam Code: Analytics-Con-201
  • Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
  • Updated: Aug 25, 2026
  • Q & A: 117 Questions and Answers
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About Salesforce Certified CRM Analytics and Einstein Discovery Consultant : Analytics-Con-201 exam dumps

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Layer23%- Data Management & Optimization
  • 1. Optimize dataset performance
  • 2. Resolve data sync and refresh issues
  • 3. Implement data modeling and relationships
- Data Sources & Integration
  • 1. Extract, load, and prepare data using Data Manager
  • 2. Define datasets and map Salesforce objects
  • 3. Use Dataflows and Recipes for transformation
Topic 2: Einstein Discovery22%- Deployment & Usage
  • 1. Interpret results and recommendations
  • 2. Monitor and maintain model performance
  • 3. Embed predictions in dashboards and Lightning pages
- Model Building & Configuration
  • 1. Train, evaluate, and refine models
  • 2. Select prediction type: numeric, binary, multi-class
  • 3. Prepare and assess data for modeling
Topic 3: Security & Access12%- Sharing & Permissions
  • 1. Configure app, dataset, and field-level security
  • 2. Implement row-level security and inheritance
  • 3. Manage user and group access
Topic 4: Dashboard Design & Development25%- Build & Configure Dashboards
  • 1. Use SAQL for advanced queries
  • 2. Implement bindings, filters, and interactions
  • 3. Create lenses, steps, and visualizations
- Design Principles
  • 1. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
Topic 5: Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Use Dashboard Inspector and Publisher
  • 2. Manage versioning and deployment
  • 3. Monitor and optimize query performance

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. After the initial creation of a model, the first model insight explains
93% of the variation of the outcome variable. This is unusually high.
What is the most likely reason for this?

A) The outcome variable may be causing data leakage.
B) The dataset contains multiple dominant values.
C) The model contains too many outlier values.


2. A consultant is tasked with creating a dataset and a dashboard for a sales team. During the requirements gathering, it was highlighted that security of the data is important.
It was noted that the Opportunity object has organization-wide defaults set to Private with access via the role hierarchy. Sales wants to keep this security in place for the dashboard. Looking at theOpportunity data, the consultant sees that the VP of sales can have access to up to 20,000 records and is unsure if sharing inheritance can be used.
Which approach ensures data security for the new Opportunity dataset?

A) Run the Sharing Inheritance Coverage Assessment for the Opportunity object in the analytics settings.
B) Enable Inherit Sharing from Salesforce in the analytics settings and set Opportunity as the source on the dataset.
C) Flatten the role hierarchy in the dataflow recipe and set a security predicate based on Opportunity owner and role path.


3. Exhibit.

Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?

A) Use result binding/Interaction in the filters section of the query "Type 1".
B) Use "Connect Data Sources" and create a connection to connect the two datasets.
C) Use "Connect Data Sources" and create a connection to connect the two widgets.


4. A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?

A) Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
B) Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.
C) Dataflows/recipes with Augment nodes fail until sync has run for the first time.


5. A system administrator at Cloud Kicks creates a joined report to showcase the new business deals closing in the current quarter, which was well received by the business stakeholders. A manager wants to visualize this report on CRM Analytics.
The CRM Analytics consultant determines the report can be trended on CRM Analytics, but it's not working as expected.
What is causing the issue?

A) The Analytics Integration user did not have permission to view the report on Salesforce.
B) Trending dashboards cannot be created from joined reports.
C) The Salesforce report was filtered on quarterly data which meant it did not have enough data to trend on CRM Analytics.


Solutions:

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

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