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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Monitor and optimize query performance 2. Use Dashboard Inspector and Publisher 3. Manage versioning and deployment
Topic 2: Einstein Discovery	22%	- Model Building & Configuration 1. Select prediction type: numeric, binary, multi-class 2. Prepare and assess data for modeling 3. Train, evaluate, and refine models - Deployment & Usage 1. Monitor and maintain model performance 2. Interpret results and recommendations 3. Embed predictions in dashboards and Lightning pages
Topic 3: Security & Access	12%	- Sharing & Permissions 1. Implement row-level security and inheritance 2. Manage user and group access 3. Configure app, dataset, and field-level security
Topic 4: Data Layer	23%	- Data Management & Optimization 1. Optimize dataset performance 2. Implement data modeling and relationships 3. Resolve data sync and refresh issues - Data Sources & Integration 1. Use Dataflows and Recipes for transformation 2. Extract, load, and prepare data using Data Manager 3. Define datasets and map Salesforce objects
Topic 5: Dashboard Design & Development	25%	- Build & Configure Dashboards 1. Create lenses, steps, and visualizations 2. Implement bindings, filters, and interactions 3. Use SAQL for advanced queries - Design Principles 1. Design for mobile and Lightning compatibility 2. Apply best practices for usability and performance

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q23-Q28):

NEW QUESTION # 23
Universal Containers' CRM Analytics team is building a dashboard with two widgets, and the queries use different datasets.
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 "Query_pie_3" and grouped by the dimension "Type" The team wants any selection in the List widget to filter the Donut chart and vice versa. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?

A. Create a selection based Interaction and apply It to the query of "Query ple 3".
B. Set up a result and selection based interaction for each query.
C. Use "Connect Data Sources" to create a mapping of the two fields from the two datasets.

Answer: B

NEW QUESTION # 24
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

A. Cluster
B. Predict Missing Values
C. Timeseries Forecasting

Answer: A

NEW QUESTION # 25
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "*&**(&*(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

A. The columnheaderis prefixed with "X" upon upload.
B. The column header is auto-updated to "Column" + column number.
C. The column header Is set to *&**(&*(%.

Answer: A

Explanation:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as "&**(&(%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.

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. 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.
B. 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".
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 runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do?

A. Increase the sharing descriptor limit in the analytics settings.
B. Use security predicates in CRM Analytics.
C. Contact Salesforce Support to increase the sharing descriptor limit.

Answer: B

Explanation:
When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to usesecurity predicates, which allow fine- tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.
Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not typically increase this limit, making the use of security predicates the best approach.

NEW QUESTION # 28
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