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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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

NEW QUESTION # 35
The CRM Analytics consultant at Cloud Kicks (CK) notices that a specific dashboard is showing a different date and time from their locale. Upon investigating, they find that the recipe and datasetswere created from a locale with a PST time zone while CK is in the CET time zone.
What led to this problem?

A. The dataset metadata locale Is not overridden by Individual user locale settings.
B. Data within datasets is modified for localization or internationalization.
C. The developer turned off dynamic time zone in CRM Analytics settings.

Answer: C

NEW QUESTION # 36
Universal Containers is setting up a Sales Analytics app to track the sales performance across all regions. The role hierarchy is well-structured with separate branches for various global regions.
Viewer access has been provided to the regional sales reps based on the following roles.
* Regional Sales - APAC
* Regional Sales - EMEA
* Regional Sales - LATAM
* Regional Sales - NA
The CRM Analytics project team receives a request to extend Editor
access to the app to 20 'Superusers' across all regions.
What is the optimal solution?

A. Create new roles for these users and assign them the Editor app access.
B. Create a new public group with these users and assign it the Editor app access.
C. Create a new sharing rule for these users and assign it the Editor app access.

Answer: B

NEW QUESTION # 37
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 # 38
Universal Containers' sales team is looking to build a dashboard that shows the total revenue from their top
10 accounts (based on revenue) and make it dynamic with the filters of the dashboard.
Which action is required to accomplish this?

A. Create a query and sort descending by revenue and limit it to 10 results.
B. Create a query with a results based interaction as a filter using the limit query to pass in the 10 Account IDs.
C. Create 2 query with a selection based interaction asa filter using the limit query to pass in the 10 Account IDs.

Answer: A

Explanation:
To create a dashboard showing the top 10 accounts by revenue dynamically, the best approach is to create a query that sorts the accounts in descending order by revenue and limits the results to the top 10. This query can then be used as the data source for the widget, ensuring that it dynamically adjusts based on the filters applied to the dashboard.
This method efficiently handles the task because sorting by revenue and limiting the results to 10 ensures that only the top accounts are displayed, and it remains dynamic with dashboard filters.

NEW QUESTION # 39
ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?

A. A Identify additional data that may have a stronger relationship with the outcome variable.
B. Use the appropriate algorithm and update the model.
C. Edit the model accuracy settings and rerun it to evaluate the correlation.

Answer: A

NEW QUESTION # 40
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