Analytics-Con-201 PrüfungGuide, Salesforce Analytics-Con-201 Zertifikat - Salesforce Certified CRM Analytics and Einstein Discovery Consultant

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionObjectives
Dashboard and App Development- Lens creation and dashboard design
- Interactive filters and user experience optimization
Data Integration and Connectivity- Connecting external data sources
- Data synchronization and refresh strategies
Einstein Discovery- Model building and predictions
- Insights interpretation and recommendations
Security and Access- Row-level security and sharing rules
- App and dataset permissions
Data Management and Preparation- Data transformation and dataflows
- Dataset creation and configuration in CRM Analytics

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Analytics-Con-201 Prüfungsaufgaben, Analytics-Con-201 Vorbereitungsfragen

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Analytics-Con-201 Prüfungsfragen mit Lösungen (Q96-Q101):

96. Frage
A model created with a GLM algorithm produced unsatisfactory results.
When re-running the model, which type of algorithm should the consultant use to improve the results?

Antwort: A


97. Frage
A CRM Analytics consultant has been asked to bring data from an external database as well as five external Salesforce environments into CRMAnalytics. Twenty-five objects have been enabled from the local Salesforce connector.
The requirements are:
* 10 objects should be enabled from an external database
* 12 objects each from three of the external Salesforce environments
* 15 objects each from the remaining two external Salesforce environments The consultant estimates each connector will, per object, bring between 1,000 and 1 million rows of data.
Which limit will be exceeded?

Antwort: A

Begründung:
In evaluating the scenario presented where multiple external sources and objects are being integrated into CRM Analytics, we need to consider the total number of enabled objects across all connections. Here's a breakdown:
* 10 objects from an external database
* 12 objects each from three external Salesforce environments, totaling 36 objects
* 15 objects each from two external Salesforce environments, totaling 30 objects
* 25 objects already enabled from the local Salesforce connector
This brings us to a total of 101 objects enabled, which may exceed typical limits on the number of objects that can be enabled in a CRM Analytics environment, depending on the specific Salesforce licensing and platform limits.


98. Frage
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

Antwort: C

Begründung:
To create a weekly forecast per customer, anSAQL (Salesforce Analytics Query Language)query can be used.
The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based onAccount Nameto ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.


99. Frage
The CRM Analytics consultant at Cloud Kicks is asked to make sure the data on the CRM Analytics dashboard be as real-time as possible.
It was agreed to set the sync refresh time to 5 minutes for one of the local connections. The org has a CRM Analytics Plus license but users are noticing that the earliest available time is 1 hour. The minutes option is not visible to the user.
What is causing the issue?

Antwort: A

Begründung:
In the scenario where Cloud Kicks wants to set the sync refresh time to 5 minutes but finds that the minimum available time is 1 hour, the limitation is due to the licensing and feature availability in CRM Analytics Plus.
Here's the detailed explanation:
* License Restrictions: The CRM Analytics Plus license typically sets the minimum refresh interval at 1 hour. This is a built-in restriction that reflects the platform's capabilities and resource allocation norms.
* Platform Capabilities: While more frequent refreshes would be ideal for achieving near-real-time data synchronization, such capabilities might require additional customization or advanced setup, potentially involving higher tiers of service or additional Salesforce products.
* Operational Considerations: Frequent data refreshes, especially in shorter intervals like 5 minutes, can significantly impact system performance and resource utilization. Therefore, such options are generally restricted or managed tightly within Salesforce environments.
This understanding aligns with Salesforce's documentation and product specifications, which outline what features and capabilities are available under different licensing agreements.


100. Frage
Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?

Antwort: B


101. Frage
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