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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Einstein Discovery	22%	- Model Building & Configuration 1. Train, evaluate, and refine models 2. Select prediction type: numeric, binary, multi-class 3. Prepare and assess data for modeling - Deployment & Usage 1. Monitor and maintain model performance 2. Interpret results and recommendations 3. Embed predictions in dashboards and Lightning pages
Topic 2: Data Layer	23%	- Data Management & Optimization 1. Resolve data sync and refresh issues 2. Optimize dataset performance 3. Implement data modeling and relationships - Data Sources & Integration 1. Define datasets and map Salesforce objects 2. Use Dataflows and Recipes for transformation 3. Extract, load, and prepare data using Data Manager
Topic 3: Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Monitor and optimize query performance 2. Manage versioning and deployment 3. Use Dashboard Inspector and Publisher
Topic 4: 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. Use SAQL for advanced queries 2. Implement bindings, filters, and interactions 3. Create lenses, steps, and visualizations
Topic 5: 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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q22-Q27):

NEW QUESTION # 22
Universal Containers builds a new sales dashboard and wants to makesure account managers can access the dashboard while traveling.
What should the consultant consider doing in this process?

A. A Set the optimal Dashboard width for the Phone layout to get a more accurate preview.
B. Enable mobile optimization in the analytics settings under Setup.
C. Make sure the dashboard automatically is optimized for mobile viewing.

Answer: A

NEW QUESTION # 23
The sales team at Cloud Kicks is requesting that datasets for their dashboards be refreshed every hour. The CRM Analytics consultant investigates if this is possible and finds that the dashboards use five datasets created from two recipes. The first recipe takes 43 minutes to run and the second recipe takes 25 minutes to run.
Which consideration should the consultant keep in mind?

A. The number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.
B. The number of concurrent recipe run limits that are associated with the org.
C. The total duration of the recipe runtimes can exceed the limit of 1 hour.

Answer: C

Explanation:
In CRM Analytics, recipes are used to prepare and combine data for datasets. The total duration of the recipe runtime is an important consideration when scheduling dataset refreshes. In this case, the combined runtime for both recipes (43 minutes + 25 minutes = 68 minutes) exceeds 1 hour. Since dataset refreshes cannot be scheduled more frequently than the total recipe runtime, it would beimpossible to refresh the datasets every hour. This limitation must be considered when managing dataset refresh schedules.
Reference: Recipe runtime limits and considerations for scheduling refreshes are discussed in the CRM Analytics documentation related to recipes and dataflow optimizations.

NEW QUESTION # 24
Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first
6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.

How should a CRM Analytics consultant help UC build this lens?

A. Use a "fill" statement in SAQL query with a "partition" parameter.
B. Use a "Compare Table" and use the "Show Totals" option.
C. Use a "Compare Table" and add a column leveraging the "Running Total" function.

Answer: C

NEW QUESTION # 25
A CRM Analytics consultant has been asked to add a custom object to existing recipe. When trying to locate the object, the consultant can see only Direct Data and NOT the SFDC Local data sync.
How should the consultant resolve this?

A. Turn on data syne for the object, run the sync, and then add to recipe.
B. Create a new data sync connection, run the sync, and add to recipe.
C. Clone the recipe, add the new object to the recipe, and run the recipe.

Answer: A

NEW QUESTION # 26
A consultant wants to understand what the important predictors are in a model.
Where is this information found?

A. Einstein Recommendations
B. Model Settings
C. Model Deployment Wizard

Answer: B

Explanation:
The important predictors of a model in CRM Analytics can typically be found under theModel Settings. This area provides detailed information about the configuration and the inputs (predictors) used to train the model.
Insights into which predictors have the most significant impact on the model's outcomes can be gleaned from this section, enabling a deeper understanding of the model's internal workings and the factors driving predictions.

NEW QUESTION # 27
......

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