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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q66-Q71):

NEW QUESTION # 66
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. Analytics Dataset XMD was NOT included as part of the deployment package,
B. Analytics Dashboard XMD was NOT included as part of the deployment package.
C. The recipe that generated the dataset also needs to be included as part of the package.

Answer: A

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 # 67
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. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.
B. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
C. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.

Answer: C

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 # 68
Cloud Kicks uses CRM Analytics for its sales reporting. A new manager needs access to CRM Analytics to see specific dashboards.
How should the system administrator give access to the Analytics
Studio app in the App Launcher?

A. Assign the CRM Analytics User permission set to the manager's user.
B. Share the Analytics Studio app to the user's profile.
C. Change the profile of the user to one that has access to the Analytics Studio.

Answer: A

NEW QUESTION # 69
A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.
Which action should the CRM Analytics consultant take?

A. Use SKU numbers rather than product names to increase clarity.
B. Run the model using the default variables in the Product object.
C. Split the analysis into multiple models with each having fewer products.

Answer: C

NEW QUESTION # 70
A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?

A. Flatten
B. Join
C. Aggregate

Answer: A

NEW QUESTION # 71
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