Salesforce Analytics-Con-201 - Salesforce Certified CRM Analytics and Einstein Discovery Consultant First-grade Online Lab Simulation

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionObjectives
Dashboard and App Development- Lens creation and dashboard design
- Interactive filters and user experience optimization
Einstein Discovery- Insights interpretation and recommendations
- Model building and predictions
Data Management and Preparation- Data transformation and dataflows
- Dataset creation and configuration in CRM Analytics
Data Integration and Connectivity- Connecting external data sources
- Data synchronization and refresh strategies
Security and Access- App and dataset permissions
- Row-level security and sharing rules

>> Analytics-Con-201 Online Lab Simulation <<

100% Pass Quiz 2026 Analytics-Con-201: Salesforce Certified CRM Analytics and Einstein Discovery Consultant Newest Online Lab Simulation

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q96-Q101):

NEW QUESTION # 96
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?

Answer: A


NEW QUESTION # 97
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?

Answer: B


NEW QUESTION # 98
consultant is reviewing a model that is set to maximize the daily sales quantity of consumer products in stores, and they see this recommendation.

Which action should the consultant take?

Answer: C

Explanation:
Upon reviewing the data model and noticing the high correlation alert between 'Store' and daily sales quantity, the appropriate action is to verify with the client their expectations regarding the influence of the Store field on daily sales. Here's the rationale:
* Understanding the Role of 'Store' in the Model: Before making any changes to the model, it's crucial to understand whether the 'Store' field is expected to be a strong predictor based on the business context. If the client expects that different stores inherently have different sales volumes due to factors like location, size, or customer base, this correlation may be both meaningful and desired.
* Potential Data Leakage: High correlation warnings can sometimes indicate data leakage, where a predictor (like 'Store') might inadvertently include information about the outcome variable (daily sales quantity). It's essential to verify whether this correlation makes sense logically or if it's skewing the model predictions.
* Client Consultation: Consulting with the client helps ensure that any modeling decisions align with their business knowledge and expectations. It's about validating the model against real-world expectations and ensuring it remains a useful tool for decision-making.
By taking these steps, the consultant not only adheres to best practices in data science by validating model inputs and their implications but also ensures that the model aligns with the client's business strategies and operational realities.


NEW QUESTION # 99
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

Answer: B


NEW QUESTION # 100
Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?

Answer: B

Explanation:
To ensure that CRM Analytics dashboards are optimally usable on both desktop and mobile devices, creating multiple layouts tailored to each device type is crucial. Here's why Option C is the best approach:
* Device-Specific Layouts: By creating specific layouts for each device type, you ensure that the dashboard contents are presented in a manner best suited to the screen size and interaction model of the device.
* Layout Selectors: These are used to automatically display the appropriate layout based on the device accessing the dashboard, enhancing user experience without manual intervention.
* Widget Customization: Resizing or hiding certain widgets for specific device layouts ensures that the dashboard remains clean, uncluttered, and easy to navigate, regardless of the device used.


NEW QUESTION # 101
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