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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. 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) Aggregate
C) Join

2. Exhibit.

Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?

A) Use "Connect Data Sources" and create a connection to connect the two datasets.
B) Use "Connect Data Sources" and create a connection to connect the two widgets.
C) Use result binding/Interaction in the filters section of the query "Type 1".

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

4. CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?

A) Priority - Logic - Level of Granularity
B) Purpose - Structure - Surface
C) Clarity - Efficiency - Consistency

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

Solutions: