Analytics-Con-201 Valid Test Sample - Analytics-Con-201 Certification Dumps

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| Section | Weight | Objectives |
|---|
| Topic 1: Data Layer | 23% | - Data Sources & Integration
- 1. Define datasets and map Salesforce objects
- 2. Use Dataflows and Recipes for transformation
- 3. Extract, load, and prepare data using Data Manager
- Data Management & Optimization
- 1. Optimize dataset performance
- 2. Resolve data sync and refresh issues
- 3. Implement data modeling and relationships
|
| Topic 2: Analytics Administration & Deployment | 18% | - Implementation & Maintenance
- 1. Use Dashboard Inspector and Publisher
- 2. Manage versioning and deployment
- 3. Monitor and optimize query performance
|
| Topic 3: Einstein Discovery | 22% | - Model Building & Configuration
- 1. Prepare and assess data for modeling
- 2. Train, evaluate, and refine models
- 3. Select prediction type: numeric, binary, multi-class
- Deployment & Usage
- 1. Monitor and maintain model performance
- 2. Interpret results and recommendations
- 3. Embed predictions in dashboards and Lightning pages
|
| Topic 4: 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
|
| Topic 5: Security & Access | 12% | - Sharing & Permissions
- 1. Manage user and group access
- 2. Configure app, dataset, and field-level security
- 3. Implement row-level security and inheritance
|
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q77-Q82):
NEW QUESTION # 77
Universal Containers' sales team is looking to build a dashboard that shows the total revenue from their top
10 accounts (based on revenue) and make it dynamic with the filters of the dashboard.
Which action is required to accomplish this?
- A. Create a query with a results based interaction as a filter using the limit query to pass in the 10 Account IDs.
- B. Create a query and sort descending by revenue and limit it to 10 results.
- C. Create 2 query with a selection based interaction asa filter using the limit query to pass in the 10 Account IDs.
Answer: B
Explanation:
To create a dashboard showing the top 10 accounts by revenue dynamically, the best approach is to create a query that sorts the accounts in descending order by revenue and limits the results to the top 10. This query can then be used as the data source for the widget, ensuring that it dynamically adjusts based on the filters applied to the dashboard.
This method efficiently handles the task because sorting by revenue and limiting the results to 10 ensures that only the top accounts are displayed, and it remains dynamic with dashboard filters.
NEW QUESTION # 78
A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?
- A. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.
- B. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
- C. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.
Answer: A
Explanation:
For Cloud Kicks' requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
* Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger.
This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
* Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
* Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.
NEW QUESTION # 79
What is the purpose of the CRM Analytics Dashboard Inspector?
- A. To automatically remove bottlenecks to make queries run faster.
- B. To view the total time required to run all queries.
- C. To see the final query for each widget along with the results.
Answer: C
Explanation:
The CRM Analytics Dashboard Inspector is a powerful tool used to troubleshoot and optimize dashboards. Its primary function is to display the underlying SAQL (Salesforce Analytics Query Language) query executed for each widget. It helps users see the final query that is run and the corresponding results. This feature allows CRM Analytics consultants and developers to diagnose issues, optimize performance, and understand how data is being processed in the dashboard.
While the Inspector helps view execution times and identify bottlenecks, it does not automatically resolve performance issues (which is why option B is incorrect). It simply provides visibility into query performance and execution details, allowing the user to make manual optimizations.
Reference: Detailed information on theDashboard Inspectortool can be found under the "Building Lenses, Dashboards, and Apps in CRM Analytics" module and theEinstein Discoverytraining content within Salesforce documentation.
NEW QUESTION # 80
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 dashboard and move the table to this new dashboard.
- B. Create a second page on the dashboard and move the table to this new page.
- C. Create a Visualforce page and display a list view of the Opportunities on this new page.
Answer: B
Explanation:
Reference:CRM Analytics Dashboard Optimization
NEW QUESTION # 81
A new picklist value was added for the Category field on the Account object. This field is already added as part of the Account object data sync and the respective recipe that uses this field.
The CRM Analytics team reports that when they start the recipe it runs successfully with no errors or warnings, but theyare unable to See this new valueson their existing dashboards.
What is the oridi4 of this issue?
- A. The user who runs the dataflow/recipe does not have access to the field.
- B. There are no records in Salesforce with this new plicklist value.
- C. The Integration User profile does not have access to the field.
Answer: B
NEW QUESTION # 82
......
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