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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q24-Q29):

NEW QUESTION # 24
What is a benefit of introducing a second local connector?

A. Better deployment management between sandboxes and production environment
B. Better performance by syncing data according to the refresh necessities
C. Better maintenance by having a connector per recipe

Answer: B

Explanation:
Introducing a second local connector in CRM Analytics can improve performance by enabling more granular control over data syncs. By having a separate connector, different datasets or recipes can be synchronized independently based on specific refresh needs, reducing load and improving overall performance. This approach helps optimize data flow operations, especially in large-scale deployments with varying data refresh requirements.

NEW QUESTION # 25
Universal Containers has a dashboard for sales managers that want to visualize their win rate.
Which chart type should the consultant use to keep track of targets?

A. Metric Radar
B. Line
C. Gauge

Answer: C

NEW QUESTION # 26
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?

A. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".
B. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.
C. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".

Answer: C

NEW QUESTION # 27
A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A. Drop the field as it will be difficult to get future respondents.
B. Fill in the missing data with an average of all incomes.
C. Apply the predict missing values transformation in recipe nodes.

Answer: C

NEW QUESTION # 28
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 recipe has to be turned off and only the dataflow should run.
B. The convertor has created a new dataset with a new ID.
C. The dataflow has to be turned off and only the recipe should run.

Answer: B

NEW QUESTION # 29
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