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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Security | 10% | - Determine security and sharing settings
- 1. Implement row-level security
- 2. Describe how Salesforce security is applied in CRM Analytics
|
| Topic 2: Analytics Dashboard Configuration | 25% | - Configure dashboards
- 1. Configure bindings
- 2. Apply query filters
- 3. Set up dynamic dashboards
|
| Topic 3: Einstein Discovery | 20% | - Implement Einstein Discovery
- 1. Integrate predictions into CRM Analytics dashboards
- 2. Configure and deploy Einstein Discovery models
- Describe Einstein Discovery concepts
- 1. Explain the model building process
- 2. Identify the use cases for Einstein Discovery
- 3. Interpret model results
|
| Topic 4: Data Layer | 25% | - Identify the right data sources and data flows for CRM Analytics
- 1. Define datasets
- 2. Describe how Salesforce objects map to CRM Analytics
- 3. Describe use cases for Data Prep (Dataflows and Recipes)
- Implement and configure the right data transformations
- 1. Use Data Prep actions
- 2. Identify and resolve data sync issues
|
| Topic 5: Analytics Dashboard Design | 20% | - Design and build CRM Analytics dashboards
- 1. Describe the use cases for Visualforce and Lightning components
- 2. Use Lenses and Dashboards
- 3. Apply design best practices
|
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant 認定 Analytics-Con-201 試験問題 (Q54-Q59):
質問 # 54
Acompany wants to create a timeline chart to visualize the evolution of its Closed Won opportunities.

What are the required parameters to build a lens that displays output similar to the image shown?
- A. 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled
- B. 1 measure, 0 groupings if trellis Is disabled, or 0-2 groupings If trellis is enabled
- C. 1 measure, 1 grouping by a date field, and either 0-1 groupings groupings by a dimensionif trellis is disabled, or 0-2groupings if trellis is enabled
正解:C
解説:
To create a timeline chart similar to the one shown, the following parameters are typically required:
* 1 Measure: This could be the count of Closed Won opportunities or any other relevant metric that needs to be tracked over time.
* 1 Grouping by a Date Field: This is essential to plot the timeline effectively. The date field would typically be the close date of the opportunities.
* Additional Groupings: Depending on the complexity and the detail needed, additional groupings can be added. For example, grouping by region or product line can provide more insights into the timeline. If trellis is used, it allows for the creation of multiple smaller charts within the main chart, each representing a slice of data based on the additional groupings.
This setup helps visualize the evolution of Closed Won opportunities over time, making it easy to spot trends, seasonal patterns, or other relevant insights.
質問 # 55
The CRM Analytics consultant at Cloud Kicks is asked to make sure the data on the CRM Analytics dashboard be as real-time as possible.
It was agreed to set the sync refresh time to 5 minutes for one of the local connections. The org has a CRM Analytics Plus license but users are noticing that the earliest available time is 1 hour. The minutes option is not visible to the user.
What is causing the issue?
- A. Setting up the schedule to 5 minutes feature is not available in sandbox orgs.
- B. The earliest available time is 1 hour for CRM Analytics Plus license.
- C. The consultant does not have the Edit CRM Analytics Dataflows permission assigned.
正解:B
解説:
In the scenario where Cloud Kicks wants to set the sync refresh time to 5 minutes but finds that the minimum available time is 1 hour, the limitation is due to the licensing and feature availability in CRM Analytics Plus.
Here's the detailed explanation:
* License Restrictions: The CRM Analytics Plus license typically sets the minimum refresh interval at 1 hour. This is a built-in restriction that reflects the platform's capabilities and resource allocation norms.
* Platform Capabilities: While more frequent refreshes would be ideal for achieving near-real-time data synchronization, such capabilities might require additional customization or advanced setup, potentially involving higher tiers of service or additional Salesforce products.
* Operational Considerations: Frequent data refreshes, especially in shorter intervals like 5 minutes, can significantly impact system performance and resource utilization. Therefore, such options are generally restricted or managed tightly within Salesforce environments.
This understanding aligns with Salesforce's documentation and product specifications, which outline what features and capabilities are available under different licensing agreements.
質問 # 56
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.
What is causing the issue?
- A. The users have access to the dashboard but not the dataset.
- B. The permission set for the users Is missing the download data permission.
- C. The dashboard has been created for internal use and the users have a view only license.
正解:B
解説:
As in the previous question, the issue is related to permissions. Users can be granted access to dashboards and apps, but if their permission set does not explicitly allow the "Download Data" action, they will not be able to download the widget data. This is a common issue encountered when users have restricted permissions, especially in environments where security and data access are tightly controlled.
質問 # 57
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.
正解:C
解説:
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.
質問 # 58
Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?
- A. Use the "update" transformation and utilize the "filter" node.
- B. Use the recipe node "delete" and set "userID" as the deletion ID.
- C. Use the combination of recipe transformations: "join" and "filter".
正解:C
質問 # 59
......
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