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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q33-Q38):

NEW QUESTION # 33
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 # 34
A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?

A. Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
B. Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.
C. Dataflows/recipes with Augment nodes fail until sync has run for the first time.

Answer: A

NEW QUESTION # 35
The CRM Analytics consultant at Universal Containers (UC) has set up data sync for the Salesforce Opportunity object with the Amount currency field added. This is being used in multiple datasets and dashboards, as UC is a multi-currency organization.
The currency used in Salesforce records is set up in GBP but the data on the dashboard is converting to USD.
Conversion logic is not set up on any of the recipes.
Why is the currency converting?

A. The ANS local currency is set up as USD.
B. The Integration User currency is set up as USD.
C. The org corporate currency is set up as USD.

Answer: C

Explanation:
In Salesforce CRM Analytics, when dealing with multi-currency environments, the system relies on the organization's corporate currency setting for reporting, unless explicitly overridden. In this case, even though the Opportunity data is stored in GBP in Salesforce, the dashboards are showing USD because the corporate currency for the org is set to USD. This behavior is expected unless currency conversion logic is implemented in the datasets or recipes.
The corporate currency serves as the default for currency fields in datasets and dashboards unless configured otherwise. This can be confirmed under the "Manage Currencies" settings in Salesforce.

NEW QUESTION # 36
Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?

A. Stop the recipe from running in Data Manager.
B. Update the app with the new field after installation.
C. Cancel running installations from Setup

Answer: A

Explanation:
If the wrong field is selected in the initial setup of an app or dataset, it is important to stop any data processing activities (like recipe executions) to prevent erroneous data from being loaded into datasets and dashboards. In this case, stopping the recipe from running in Data Manager is the correct first step. Once the recipe is stopped, the consultant can update the field selection or make other necessary corrections before restarting the process.

NEW QUESTION # 37
Universal Containers has a dashboard for sales managers that want to visualize their win rate.
Which chart type should the consultant use to keep track of targets?

A. Metric Radar
B. Gauge
C. Line

Answer: B

NEW QUESTION # 38
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