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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q92-Q97):

NEW QUESTION # 92
Universal Containers plans to upload target data from an external tool to CRM Analytics so it can calculate the sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales rep, the target amount, and the month of the target. For each sales rep, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?

A. Overwrite
B. Update
C. Append

Answer: A

Explanation:
For uploading target data that changes on a monthly basis and includes historical data (previous years' targets), the appropriate operation is "Overwrite." This ensures that each time the CSV file is uploaded, the existing data in the dataset is replaced with the new data. This is critical because the target data includes both current and historical data, and using "Overwrite" will update the entire dataset while maintaining historical accuracy.
"Append" would add new data without replacing the old records, leading to duplication, and "Update" is not suitable for completely replacing data in this context.

NEW QUESTION # 93
A CRM Analytics administrator is working on deploying a dashboard and a dataset from a developer sandbox to a full sandbox. They have deployed the dataset via change set and manually copy-pasted the dashboard JSON into the target org. However, they notice that the conditional formatting and the widget-specific number formats have been lost in the target environment.
What is causing this issue?

A. The recipe that generated the dataset also needs to be included as part of the package.
B. Analytics Dashboard XMD was NOT included as part of the deployment package.
C. Analytics Dataset XMD was NOT included as part of the deployment package,

Answer: C

Explanation:
When deploying a dataset and dashboard between environments in CRM Analytics, it's essential to include theExtended Metadata (XMD)file, which controls aspects such as conditional formatting and number formatting. In this case, the administrator manually copied the dashboard JSON but did not deploy the Analytics Dataset XMD, which leads to the loss of conditional formatting and widget-specific number formats in the target environment. Including the XMD ensures that all formatting and metadata are transferred correctly.

NEW QUESTION # 94
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, 0 groupings if trellis Is disabled, or 0-2 groupings If trellis is enabled
B. 1 measure, 1-2 groupings if trellis is disabled, or 1-4 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

Answer: C

Explanation:
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.

NEW QUESTION # 95
A CRM Analytics administrator is working on deploying a dataflow and a dataset (generated by this dataflow) to another org.
While creating a change set, they notice that the components are NOT visible to be included in the change set.
What is the reason for this?

A. Assets are kept in the Private App and are unavailable to include in the change set.
B. The administrator does NOT have access to the assets on CRM Analytics.
C. The administrator does NOT have system administrator permission to include the assets In the change set,

Answer: A

NEW QUESTION # 96
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 combination of recipe transformations: "join" and "filter".
B. Use the "update" transformation and utilize the "filter" node.
C. Use the recipe node "delete" and set "userID" as the deletion ID.

Answer: A

Explanation:
Reference:CRM Analytics Recipes: Join and Filter Transformations

NEW QUESTION # 97
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