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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
Certificate Validity Period:3 years
Exam Format:Multiple Choice, Multiple Select, Scenario-Based
Passing Score:65%
Exam Duration:90 minutes
Real Exam Qty:60-65
Related Certifications:Salesforce Certified Administrator
Salesforce Certified Tableau CRM and Einstein Discovery Consultant
Exam Price:USD 200 (retake: USD 100)
Available Languages:English, Japanese, Spanish, French, German, Portuguese (Brazil)
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:Salesforce Certification Portal
Kryterion Webassessor
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%- Build & Configure Dashboards
  • 1. Use SAQL for advanced queries
  • 2. Create lenses, steps, and visualizations
  • 3. Implement bindings, filters, and interactions
- Design Principles
  • 1. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
Topic 2: Data Layer23%- Data Management & Optimization
  • 1. Optimize dataset performance
  • 2. Implement data modeling and relationships
  • 3. Resolve data sync and refresh issues
- 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. Monitor and optimize query performance
  • 2. Use Dashboard Inspector and Publisher
  • 3. Manage versioning and deployment
Topic 4: Einstein Discovery22%- Model Building & Configuration
  • 1. Train, evaluate, and refine models
  • 2. Prepare and assess data for modeling
  • 3. Select prediction type: numeric, binary, multi-class
- Deployment & Usage
  • 1. Interpret results and recommendations
  • 2. Monitor and maintain model performance
  • 3. Embed predictions in dashboards and Lightning pages
Topic 5: Security & Access12%- Sharing & Permissions
  • 1. Configure app, dataset, and field-level security
  • 2. Manage user and group access
  • 3. Implement row-level security and inheritance

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back.
However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?

A) Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.
B) Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
C) Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.


2. consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.
What else does the consultant need to do?

A) Set the organization-wide default for the Opportunity object to Public Read/Write.
B) Create a manual sharing rule to extend access to the VP of sales from the opportunity record.
C) Flatten the role hierarchy in the recipe and set a backup securitypredicate based on opportunityowner and role path.


3. Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first
6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.

How should a CRM Analytics consultant help UC build this lens?

A) Use a "Compare Table" and use the "Show Totals" option.
B) Use a "fill" statement in SAQL query with a "partition" parameter.
C) Use a "Compare Table" and add a column leveraging the "Running Total" function.


4. 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 column header Is set to *&**(&*(%.
C) The columnheaderis prefixed with "X" upon upload.


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


Solutions:

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

Salesforce Analytics-Con-201 Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified CRM Analytics and Einstein Discovery Consultant
Exam Number:Analytics-Con-201
Certificate Validity Period:3 years
Exam Format:Multiple Choice, Multiple Select, Scenario-Based
Passing Score:65%
Exam Duration:90 minutes
Real Exam Qty:60-65
Related Certifications:Salesforce Certified Administrator
Salesforce Certified Tableau CRM and Einstein Discovery Consultant
Exam Price:USD 200 (retake: USD 100)
Available Languages:English, Japanese, Spanish, French, German, Portuguese (Brazil)
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:Salesforce Certification Portal
Kryterion Webassessor
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%- Build & Configure Dashboards
  • 1. Use SAQL for advanced queries
  • 2. Create lenses, steps, and visualizations
  • 3. Implement bindings, filters, and interactions
- Design Principles
  • 1. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
Topic 2: Data Layer23%- Data Management & Optimization
  • 1. Optimize dataset performance
  • 2. Implement data modeling and relationships
  • 3. Resolve data sync and refresh issues
- 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. Monitor and optimize query performance
  • 2. Use Dashboard Inspector and Publisher
  • 3. Manage versioning and deployment
Topic 4: Einstein Discovery22%- Model Building & Configuration
  • 1. Train, evaluate, and refine models
  • 2. Prepare and assess data for modeling
  • 3. Select prediction type: numeric, binary, multi-class
- Deployment & Usage
  • 1. Interpret results and recommendations
  • 2. Monitor and maintain model performance
  • 3. Embed predictions in dashboards and Lightning pages
Topic 5: Security & Access12%- Sharing & Permissions
  • 1. Configure app, dataset, and field-level security
  • 2. Manage user and group access
  • 3. Implement row-level security and inheritance

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back.
However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?

A) Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.
B) Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
C) Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.


2. consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.
What else does the consultant need to do?

A) Set the organization-wide default for the Opportunity object to Public Read/Write.
B) Create a manual sharing rule to extend access to the VP of sales from the opportunity record.
C) Flatten the role hierarchy in the recipe and set a backup securitypredicate based on opportunityowner and role path.


3. Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first
6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.

How should a CRM Analytics consultant help UC build this lens?

A) Use a "Compare Table" and use the "Show Totals" option.
B) Use a "fill" statement in SAQL query with a "partition" parameter.
C) Use a "Compare Table" and add a column leveraging the "Running Total" function.


4. 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 column header Is set to *&**(&*(%.
C) The columnheaderis prefixed with "X" upon upload.


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


Solutions:

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

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