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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q58-Q63):

NEW QUESTION # 58
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. Contact Salesforce Support to increase the sharing descriptor limit.
B. Increase the sharing descriptor limit in the analytics settings.
C. Use security predicates in CRM Analytics.

Answer: C

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.
Reference:Security predicatesand their use to optimize data visibility and sharing within CRM Analytics are explained in theCRM Analyticsdocumentation related to security and performance.

NEW QUESTION # 59
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 run limits that are associated with the org.
B. The total duration of the recipe runtimes can exceed the limit of 1 hour.
C. The number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.

Answer: B

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 # 60
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 Augment nodes fail until sync has run for the first time.
B. Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
C. Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.

Answer: B

NEW QUESTION # 61
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. Make sure the dashboard automatically is optimized for mobile viewing.
C. Enable mobile optimization in the analytics settings under Setup.

Answer: A

NEW QUESTION # 62
After getting approval for the dashboard layout design for a desktop, the CRM Analytics consultant is ready to start the design process for a mobile layout.
Which consideration should the consultant keep in mind?

A. Create a layout with the property "phone" to show the dashboard on the mobile app similar to creating a layout with the property "dashboard"to show on the desktop for thesame dashboard,
B. "Tablet" or "Phone" layout-where only minWidth and maxWidth have been set-may be displayed on a desktop if the dashboard is embedded in asmall frame, or if the browserwindow is small.
C. If no layouts are eligible for the mobile device, an error message will be displayed but the dashboard will still be visible on the desktop without errors.

Answer: B

Explanation:
When designing for different device types in CRM Analytics, particularly for mobile layouts, it's crucial to consider how the layout will respond not just on mobile devices but also under various display conditions on desktops. Here's the rationale for focusing on this consideration:
* Responsiveness: Layouts designated for tablets or phones may also be triggered on desktop environments if conditions such as browser window size or embedded frame dimensions mimic those typical of smaller devices.
* Design Flexibility: Understanding this behavior is essential for creating versatile dashboards that maintain functionality and visual integrity across all potential viewing scenarios.
* User Experience: Ensuring that the dashboard behaves predictably across device types and sizes enhances user engagement and effectiveness, as it provides a consistent experience regardless of the access point.
This approach ensures that the dashboard remains functional and accessible no matter how or where it is being viewed, aligning with best practices for responsive and adaptive design in modern analytics environments.

NEW QUESTION # 63
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