Analytics-Con-201 PDF & Analytics-Con-201 Buch

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Management and Preparation	- Dataset creation and configuration in CRM Analytics - Data transformation and dataflows
Topic 2: Data Integration and Connectivity	- Data synchronization and refresh strategies - Connecting external data sources
Topic 3: Einstein Discovery	- Model building and predictions - Insights interpretation and recommendations
Topic 4: Dashboard and App Development	- Lens creation and dashboard design - Interactive filters and user experience optimization
Topic 5: Security and Access	- App and dataset permissions - Row-level security and sharing rules

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Analytics-Con-201 Prüfungsfragen mit Lösungen (Q30-Q35):

30. Frage
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?

A. Create two separate datasets; one for EMEA, and one for CXOs and VPs.
B. Use a field on the user record like Department/Region, and apply row-level security based on that field.
C. Create two sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.

Antwort: B

31. Frage
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. Update
B. Append
C. Overwrite

Antwort: C

Begründung:
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.
Reference: The usage of the "Overwrite" operation for updating datasets with changing data is covered in theAnalytics External Data APIdocumentation, as well as in theWave Analytics Explorermodule.

32. Frage
The CRM Analytics project team at Universal Containers is creating an app with dashboards, datasets, and lenses. The app has been shared with multiple users with Viewer, Editor, and/or Manager access.
One end user is unable to view the dashboard watchlist that was previously set up. They are receiving a
"Resource not found" error while trying to access the dashboard. The team confirms that the end user has Viewer access to the app but the project team is able to view the dashboard.
What is the reason for this error?

A. The dashboard is deleted by a user with Manager access to the App.
B. The dashboard has been hidden by a user with Manager access to the App.
C. The dashboard or App permission needs to be updated to Editor.

Antwort: B

33. Frage
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. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
B. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.
C. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.

Antwort: B

Begründung:
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.

34. Frage
A CRM Analytics consultant wants to move a dataflow to a recipe in order to use aggregation nodes. To do so, they use the Dataflow to Recipe convertor and the recipe runs successfully.
However, they are unable to see the aggregated data in the dataset.
What is causing the issue?

A. The convertor has created a new dataset with a new ID.
B. The dataflow has to be turned off and only the recipe should run.
C. The recipe has to be turned off and only the dataflow should run.

Antwort: A

35. Frage
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