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| Section | Weight | Objectives |
|---|
| Topic 1: Dashboard Design & Development | 25% | - Design Principles
- 1. Apply best practices for usability and performance
- 2. Design for mobile and Lightning compatibility
- Build & Configure Dashboards
- 1. Create lenses, steps, and visualizations
- 2. Use SAQL for advanced queries
- 3. Implement bindings, filters, and interactions
|
| Topic 2: Einstein Discovery | 22% | - Deployment & Usage
- 1. Embed predictions in dashboards and Lightning pages
- 2. Interpret results and recommendations
- 3. Monitor and maintain model performance
- Model Building & Configuration
- 1. Train, evaluate, and refine models
- 2. Prepare and assess data for modeling
- 3. Select prediction type: numeric, binary, multi-class
|
| Topic 3: 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. Use Dataflows and Recipes for transformation
- 2. Define datasets and map Salesforce objects
- 3. Extract, load, and prepare data using Data Manager
|
| Topic 4: Security & Access | 12% | - Sharing & Permissions
- 1. Manage user and group access
- 2. Implement row-level security and inheritance
- 3. Configure app, dataset, and field-level security
|
| Topic 5: Analytics Administration & Deployment | 18% | - Implementation & Maintenance
- 1. Use Dashboard Inspector and Publisher
- 2. Monitor and optimize query performance
- 3. Manage versioning and deployment
|
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q45-Q50):
NEW QUESTION # 45
CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?
- A. Clarity - Efficiency - Consistency
- B. Purpose - Structure - Surface
- C. Priority - Logic - Level of Granularity
Answer: B
NEW QUESTION # 46
Universal Containers intends to use a custom Salesforce big object in its org and visualize the data using CRM Analytics. As the number of rows to be synced is quite large, the CRM Analytics consultant is looking to set up an incremental sync with additional filters added as part of the data sync to improve performance.
What should the consultant keep in mind while implementing this?
- A. Only SOSL queries can be used as data syne filters.
- B. Custom big objects are NOT supported by CRM Analytics.
- C. Incremental data syne Is NOT supported for big objects.
Answer: C
NEW QUESTION # 47
A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?
- A. Dataflows/recipes with Augment nodes fail until sync has run for the first time.
- B. Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
- C. Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.
Answer: B
NEW QUESTION # 48
CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.
- A. The dashboard has been created for internal use and theusers have a view only license.
- B. The permission set for the users is missing the download data permission.
- C. The users have access to the dashboard but not the dataset.
Answer: B
Explanation:
In CRM Analytics, even if users are granted access to view an app and its dashboards, their ability to download data is controlled by permissions assigned via permission sets. Specifically, users need the
"Download Data" permission to download data from widgets or dashboards. If this permission is missing from their permission set, they will be unable to download the specific widget, even though they can view the data.
NEW QUESTION # 49
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. Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.
- B. Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.
- C. Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
Answer: A
NEW QUESTION # 50
......
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