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| Section | Weight | Objectives |
|---|
| Dashboard Design & Development | 25% | - Build & Configure Dashboards
- 1. Implement bindings, filters, and interactions
- 2. Use SAQL for advanced queries
- 3. Create lenses, steps, and visualizations
- Design Principles
- 1. Apply best practices for usability and performance
- 2. Design for mobile and Lightning compatibility
|
| Security & Access | 12% | - Sharing & Permissions
- 1. Configure app, dataset, and field-level security
- 2. Manage user and group access
- 3. Implement row-level security and inheritance
|
| Data Layer | 23% | - Data Management & Optimization
- 1. Implement data modeling and relationships
- 2. Optimize dataset performance
- 3. Resolve data sync and refresh issues
- 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
|
| Einstein Discovery | 22% | - Model Building & Configuration
- 1. Train, evaluate, and refine models
- 2. Select prediction type: numeric, binary, multi-class
- 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
|
| Analytics Administration & Deployment | 18% | - Implementation & Maintenance
- 1. Manage versioning and deployment
- 2. Monitor and optimize query performance
- 3. Use Dashboard Inspector and Publisher
|
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Free PDF Quiz High Pass-Rate Analytics-Con-201 - Free Salesforce Certified CRM Analytics and Einstein Discovery Consultant Download
Each format specializes in a specific study style and offers unique benefits, each of which is crucial to good Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) exam preparation. The specs of each Salesforce Analytics-Con-201 Exam Questions format are listed below, you may select any of them as per your requirements.
Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q26-Q31):
NEW QUESTION # 26
Universal Containers' CRM Analytics team is building a dashboard with two widgets, and the queries use different datasets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Query_pie_3" and grouped by the dimension "Type" The team wants any selection in the List widget to filter the Donut chart and vice versa. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?
- A. Use "Connect Data Sources" to create a mapping of the two fields from the two datasets.
- B. Create a selection based Interaction and apply It to the query of "Query ple 3".
- C. Set up a result and selection based interaction for each query.
Answer: C
NEW QUESTION # 27
After getting approval for the dashboard layout design for a desktop, the CRM Analytics consultant is ready to start the design process for a mobile layout.
Which consideration should the consultant keep in mind?
- A. Create a layout with the property "phone" to show the dashboard on the mobile app similar to creating a layout with the property "dashboard"to show on the desktop for thesame dashboard,
- B. "Tablet" or "Phone" layout-where only minWidth and maxWidth have been set-may be displayed on a desktop if the dashboard is embedded in asmall frame, or if the browserwindow is small.
- C. If no layouts are eligible for the mobile device, an error message will be displayed but the dashboard will still be visible on the desktop without errors.
Answer: B
Explanation:
When designing for different device types in CRM Analytics, particularly for mobile layouts, it's crucial to consider how the layout will respond not just on mobile devices but also under various display conditions on desktops. Here's the rationale for focusing on this consideration:
* Responsiveness: Layouts designated for tablets or phones may also be triggered on desktop environments if conditions such as browser window size or embedded frame dimensions mimic those typical of smaller devices.
* Design Flexibility: Understanding this behavior is essential for creating versatile dashboards that maintain functionality and visual integrity across all potential viewing scenarios.
* User Experience: Ensuring that the dashboard behaves predictably across device types and sizes enhances user engagement and effectiveness, as it provides a consistent experience regardless of the access point.
This approach ensures that the dashboard remains functional and accessible no matter how or where it is being viewed, aligning with best practices for responsive and adaptive design in modern analytics environments.
NEW QUESTION # 28
Cloud Kicks' Salesforce org has multiple currencies enabled. This company's business intelligence team uses CRM Analytics to build a dataflow/recipe that creates a dataset, "OpportunityDataSet", which is populated with data extracted from Opportunity. One of the extracted fields is the standard field, Amount.
Which currency will the Amount values be shown in "OpportunityDataSet"?
- A. In the currency that Is set on the "currency" attribute.
- B. the connected user's currency
- C. In the integration user's currency
Answer: C
Explanation:
When a dataset like "OpportunityDataSet" is populated through a dataflow or recipe in CRM Analytics, thecurrency values(such as the standard field "Amount") will be displayed in the currency of theintegration userunless there is specific currency conversion logic set up within the dataset or recipe. The integration user is the user whose credentials are used to run the dataflow and extract data, and their currency setting will dictate how numeric currency values are displayed unless overridden.
Reference: Salesforce's documentation on multi-currency environments inCRM Analyticsexplains how the integration user's currency affects the display of numeric values.
NEW QUESTION # 29
A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including:
recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at
6:00 AM EST.
How should the consultant proceed?
- A. Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.
- B. Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling'.
- C. Use the Data Manager and schedule each item to run at 6:00 AM EST based on 'Time-based Scheduling'.
Answer: A
NEW QUESTION # 30
Exhibit.

Universal Containers has a dashboard for sales managers to visualize the Year Over Year (YoY) growth of their customers. The formula used is:
YoY = [(This Year - Last Year) / Last Year] %
Based on the graphic, when there is not an account in the Last Year column, the YoY Growth shows null results. The sales managers want to replace it with 100% value.
What is the correct function to use?
- A. coalesce()
- B. substr()
- C. replace()
Answer: A
NEW QUESTION # 31
......
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