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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Describe the use cases for Visualforce and Lightning components 2. Use Lenses and Dashboards 3. Apply design best practices
Einstein Discovery	20%	- Implement Einstein Discovery 1. Configure and deploy Einstein Discovery models 2. Integrate predictions into CRM Analytics dashboards - Describe Einstein Discovery concepts 1. Identify the use cases for Einstein Discovery 2. Interpret model results 3. Explain the model building process
Analytics Dashboard Configuration	25%	- Configure dashboards 1. Configure bindings 2. Set up dynamic dashboards 3. Apply query filters
Data Layer	25%	- Implement and configure the right data transformations 1. Identify and resolve data sync issues 2. Use Data Prep actions - Identify the right data sources and data flows for CRM Analytics 1. Describe how Salesforce objects map to CRM Analytics 2. Define datasets 3. Describe use cases for Data Prep (Dataflows and Recipes)
Security	10%	- Determine security and sharing settings 1. Implement row-level security 2. Describe how Salesforce security is applied in CRM Analytics

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant certkingdom actual exam dumps & Analytics-Con-201 pdf practice

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q14-Q19):

NEW QUESTION # 14
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 sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.
B. Use a field on the user record like Department/Region, and apply row-level security based on that field.
C. Create two separate datasets; one for EMEA, and one for CXOs and VPs.

Answer: B

Explanation:
For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:
* Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
* Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
* Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.

NEW QUESTION # 15
CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.

A. The dashboard has been created for internal use and theusers have a view only license.
B. The users have access to the dashboard but not the dataset.
C. The permission set for the users is missing the download data permission.

Answer: C

Explanation:
In CRM Analytics, even if users are granted access to view an app and its dashboards, their ability to download data is controlled by permissions assigned via permission sets. Specifically, users need the
"Download Data" permission to download data from widgets or dashboards. If this permission is missing from their permission set, they will be unable to download the specific widget, even though they can view the data.
Reference: The role of permission sets in granting access to data features, such as downloading data, is detailed in Salesforce'sCRM Analyticspermissions documentation and is emphasized in the module "Building Lenses, Dashboards, and Apps in CRM Analytics."

NEW QUESTION # 16
Universal Containers' CRM Analytics team is building a dashboard with two widgets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings/interactions so any selection in the List widget will filter the Donut chart. The queries use different datasets, and users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding/interaction?

Answer: C

Explanation:
For the given requirement where a selection in a list widget needs to filter data displayed on a donut chart, and considering the list allows for multi-selection of the 'Type', the correct binding/interaction would be to use a syntax that captures the multi-select aspect and passes it appropriately. The right syntax, as indicated in Option A, looks like this:
"{{column(Type_2.selection, [\"Type\"]).asObject()}}"
This syntax ensures:
* Multi-selection: The column() function in combination with .asObject() ensures that multiple selected values from the 'Type_2' query can be passed as an object, which the donut chart can utilize to filter its content.
* Correct Data Type Handling: By using .asObject(), the binding ensures the data passed between widgets maintains the correct structure expected by the CRM Analytics dashboard, thereby ensuring accurate filtering.

NEW QUESTION # 17
In Data Alerts, a field named Region is 96.5% North America. The consultant believes that this is an important field since the majority of sales is in the North American market.
What is the appropriate action?

A. Understand if client should only "focus on North America" or drop the field, as it does not have valuable information.
B. Append more rows of data with "other values of Region" to balance the dataset properly.
C. Choose the recommended action "keep only North America" and exclude all of the other rows.

Answer: A

NEW QUESTION # 18
What is the purpose of the CRM Analytics Dashboard Inspector?

A. To see the final query for each widget along with the results.
B. To automatically remove bottlenecks to make queries run faster.
C. To view the total time required to run all queries.

Answer: A

Explanation:
The CRM Analytics Dashboard Inspector is a powerful tool used to troubleshoot and optimize dashboards. Its primary function is to display the underlying SAQL (Salesforce Analytics Query Language) query executed for each widget. It helps users see the final query that is run and the corresponding results. This feature allows CRM Analytics consultants and developers to diagnose issues, optimize performance, and understand how data is being processed in the dashboard.
While the Inspector helps view execution times and identify bottlenecks, it does not automatically resolve performance issues (which is why option B is incorrect). It simply provides visibility into query performance and execution details, allowing the user to make manual optimizations.

NEW QUESTION # 19
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