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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q35-Q40):

NEW QUESTION # 35
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?

Answer: B


NEW QUESTION # 36
A manager at Cloud Kicks wants to separate and analyze accounts based on numeric information of its opportunity records. The data includes things like amount, quantity of products, contacts, and quotes.
How should the CRM Analytics consultant accomplish this?

Answer: B


NEW QUESTION # 37
A consultant is tasked with creating a dataset and a dashboard for a sales team. During the requirements gathering, it was highlighted that security of the data is important.
It was noted that the Opportunity object has organization-wide defaults set to Private with access via the role hierarchy. Sales wants to keep this security in place for the dashboard. Looking at theOpportunity data, the consultant sees that the VP of sales can have access to up to 20,000 records and is unsure if sharing inheritance can be used.
Which approach ensures data security for the new Opportunity dataset?

Answer: A

Explanation:
For ensuring that the security settings on the Opportunity object are appropriately replicated in the CRM Analytics environment, running the Sharing Inheritance Coverage Assessment is an effective strategy. Here's why:
* Assessment of Inheritance Feasibility: This tool assesses whether sharing rules on the Opportunity object can be effectively inherited in the analytics environment, ensuring that the organization-wide defaults and role hierarchy are maintained.
* Identification of Limitations: The assessment will identify any potential issues or limitations with inheriting sharing settings due to the large number of records (up to 20,000 for the VP of Sales), providing clear insights on how to proceed.
* Guided Decision Making: Based on the outcome of the assessment, the consultant can make informed decisions about whether to directly inherit sharing or consider alternative strategies like flattening the role hierarchy or using security predicates.


NEW QUESTION # 38
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?

Answer: C


NEW QUESTION # 39
A versioning feature allows CRM Analytics users to be added as Publishers and make changes separately while a 'Live' version is still being usedby other users. Once the changes are complete, the user can then set their updated version as the Live version.
Which CRM Analytics item is this leveraged for?

Answer: C

Explanation:
In CRM Analytics, the versioning feature described is typically leveraged for Apps. This feature allows:
* Parallel Development: Users can work on changes in a separate version without affecting the live version being accessed by others.
* Controlled Publishing: Once changes are finalized, the user can then promote their version to be the new live version, ensuring seamless updates without disrupting ongoing usage.
* Collaborative Workflows: Facilitates teamwork by allowing multiple users to propose and test changes in a controlled environment before making those changes live.
This approach ensures that CRM Analytics apps remain dynamic and can evolve over time while maintaining stability and continuity for end-users.


NEW QUESTION # 40
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