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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Layer	23%	- 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 - Data Management & Optimization 1. Resolve data sync and refresh issues 2. Implement data modeling and relationships 3. Optimize dataset performance
Dashboard Design & Development	25%	- Build & Configure Dashboards 1. Create lenses, steps, and visualizations 2. Use SAQL for advanced queries 3. Implement bindings, filters, and interactions - Design Principles 1. Apply best practices for usability and performance 2. Design for mobile and Lightning compatibility
Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Monitor and optimize query performance 2. Manage versioning and deployment 3. Use Dashboard Inspector and Publisher
Einstein Discovery	22%	- 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. Interpret results and recommendations 2. Embed predictions in dashboards and Lightning pages 3. Monitor and maintain model performance
Security & Access	12%	- Sharing & Permissions 1. Implement row-level security and inheritance 2. Manage user and group access 3. Configure app, dataset, and field-level security

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q58-Q63):

NEW QUESTION # 58
A CRM Analytics consultant has been asked to add a custom object to existing recipe. When trying to locate the object, the consultant can see only Direct Data and NOT the SFDC Local data sync.
How should the consultant resolve this?

A. Create a new data sync connection, run the sync, and add to recipe.
B. Clone the recipe, add the new object to the recipe, and run the recipe.
C. Turn on data syne for the object, run the sync, and then add to recipe.

Answer: C

NEW QUESTION # 59
What can a consultant accomplish in the Predictions page of a model?

A. Estimate the impacted business value of using Einstein Discovery.
B. If it is decided to follow some of the Einstein Recommendations for model improvement, see what the new model metrics would be.
C. Create predicted outcome value by manually selecting values for some of the predictor fields.

Answer: C

Explanation:
In the Predictions page of a model within CRM Analytics (formerly Einstein Discovery), users have the capability to interact with the model to see how different input values affect predictions. Here's a detailed look at what can be accomplished:
* Manual Input of Predictor Values: Users can manually input or change values for predictor fields to see how these changes alter the predicted outcomes. This is especially useful for testing hypothetical scenarios and understanding how sensitive the model is to various inputs.
* Real-Time Interaction: This functionality provides a hands-on way to explore the model's behavior, offering immediate feedback on how input variations impact predictions, which can help in refining the model or in training users on its application.
* Scenario Analysis: By adjusting predictor values, users can conduct scenario analyses, which are crucial for strategic planning and decision-making.

NEW QUESTION # 60
A CRM Analytics consultant is performing column profiling on dimension column in a recipe. Newly-added rows are not being considered in the Results tab of theprofile even though a sync wasrun for that specific object.
What is causing the issue?

A. Column profiling Is not applicable on a dimension column in a recipe.
B. The sample does not include changes to the connected object data within the last 24 hours.
C. Sync operation has not run properly with the new dimension column in the recipe.

Answer: B

NEW QUESTION # 61
Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?

A. CRM Analytics Connector for Excel used in conjunction with dataflows/recipes
B. Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes
C. Analytics REST API used in conjunction with dataflows/recipes.

Answer: B

NEW QUESTION # 62
A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?

A. Create a second page on the dashboard and move the table to this new page.
B. Create a Visualforce page and display a list view of the Opportunities on this new page.
C. Create a second dashboard and move the table to this new dashboard.

Answer: A

NEW QUESTION # 63
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