Learn with Salesforce : Analytics-Con-201 training material for 100% pass

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Einstein Discovery22%- Deployment & Usage
  • 1. Interpret results and recommendations
  • 2. Embed predictions in dashboards and Lightning pages
  • 3. Monitor and maintain model performance
- 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 2: Data Layer23%- Data Sources & Integration
  • 1. Define datasets and map Salesforce objects
  • 2. Extract, load, and prepare data using Data Manager
  • 3. Use Dataflows and Recipes for transformation
- Data Management & Optimization
  • 1. Optimize dataset performance
  • 2. Resolve data sync and refresh issues
  • 3. Implement data modeling and relationships
Topic 3: 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
Topic 4: Dashboard Design & Development25%- Design Principles
  • 1. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
- Build & Configure Dashboards
  • 1. Use SAQL for advanced queries
  • 2. Implement bindings, filters, and interactions
  • 3. Create lenses, steps, and visualizations
Topic 5: Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Use Dashboard Inspector and Publisher
  • 2. Monitor and optimize query performance
  • 3. Manage versioning and deployment

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. 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.


2. The marketing team at Cloud Kicks has five dashboards in an app. Four widgets are replicas of each other in three of the dashboards.
What is the best way to maintain these widgets?

A) Create/Edit the widgets individually on each dashboard.
B) Create/Edit a lens and add each dashboard.
C) Create/Edit a component for the widgets.


3. Exhibit.

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

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


4. A versioning feature allows CRM Analytics users to be added as Publishers and make changes separately while a 'Live' version is still being usedby other users. Once the changes are complete, the user can then set their updated version as the Live version.
Which CRM Analytics item is this leveraged for?

A) App
B) Dataset
C) goats


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


Solutions:

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

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