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Salesforce Analytics-Con-201 Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified CRM Analytics and Einstein Discovery Consultant
Exam Number:Analytics-Con-201
Exam Format:Multiple Choice, Multiple Select, Scenario-Based
Passing Score:65%
Real Exam Qty:60-65
Available Languages:English, Japanese, Spanish, French, German, Portuguese (Brazil)
Certificate Validity Period:3 years
Exam Duration:90 minutes
Related Certifications:Salesforce Certified Administrator
Salesforce Certified Tableau CRM and Einstein Discovery Consultant
Exam Price:USD 200 (retake: USD 100)
Recommended Training:Building Lenses, Dashboards, and Apps in CRM Analytics (ANC201)
Implement and Manage CRM Analytics (ANC301)
Prepare for Your Salesforce CRM Analytics and Einstein Discovery Consultant Credential
Exam Registration:Kryterion Webassessor
Salesforce Certification Portal
Sample Questions:Salesforce Analytics-Con-201 Sample Questions
Exam Way:Online proctored or onsite testing center
Pre Condition:No mandatory prerequisites; recommended 1+ year hands-on experience with CRM Analytics, Salesforce data structures, dataflows, and SAQL; Salesforce Administrator certification is helpful
Official Syllabus URL:https://trailheadacademy.salesforce.com/certificate/exam-crm-analytics---Analytics-Con-201

Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

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


2. A CRM Analytics consultant is updating an existing recipe.
They are looking to add a few additional fields onto the Account dataset. One of the fields to be added is a multi-select picklist field that needs to be shown as text on the dashboard.
What should the consultant do to accomplish this?

A) Use the array multivalue function to convert this field to a text prior to registering the dataset.
B) Use the array_join multivalue runcuen co convert this field to a text prior to registering the dataset.
C) Use the string multivalue function to convert this field to a text prior to registering the dataset.


3. Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

A) Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.
B) Filter the account data per region and deploy the same model to all segments.
C) Segment the account data per region and deploy the appropriate model for each segment.


4. A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?

A) Flatten
B) Join
C) Aggregate


5. Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?

A) Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets to ensure the content is appropriate for the device screen size.
B) Create multiple layouts and allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.
C) Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width


Solutions:

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

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