Free PDF Trustable Analytics-Con-201 - Study Salesforce Certified CRM Analytics and Einstein Discovery Consultant Reference

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analytics Dashboard Design20%- Design and build CRM Analytics dashboards
  • 1. Describe the use cases for Visualforce and Lightning components
  • 2. Apply design best practices
  • 3. Use Lenses and Dashboards
Topic 2: Data Layer25%- Implement and configure the right data transformations
  • 1. Identify and resolve data sync issues
  • 2. Use Data Prep actions
- Identify the right data sources and data flows for CRM Analytics
  • 1. Define datasets
  • 2. Describe how Salesforce objects map to CRM Analytics
  • 3. Describe use cases for Data Prep (Dataflows and Recipes)
Topic 3: Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Set up dynamic dashboards
  • 2. Apply query filters
  • 3. Configure bindings
Topic 4: Security10%- Determine security and sharing settings
  • 1. Implement row-level security
  • 2. Describe how Salesforce security is applied in CRM Analytics
Topic 5: Einstein Discovery20%- Describe Einstein Discovery concepts
  • 1. Interpret model results
  • 2. Explain the model building process
  • 3. Identify the use cases for Einstein Discovery
- Implement Einstein Discovery
  • 1. Configure and deploy Einstein Discovery models
  • 2. Integrate predictions into CRM Analytics dashboards

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q106-Q111):

NEW QUESTION # 106
Exhibit.

Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?

Answer: C


NEW QUESTION # 107
CRM Analytics team plans to enable data sync.
Which limit specific to data syne should the team consider before enabling the feature because it may impact existing jobs?

Answer: B

Explanation:
In CRM Analytics, when planning to enable data sync, one of the critical considerations is the limit on the number of objects that can be enabled for data sync. This limit is essential because it determineshow many different Salesforce objects (like Accounts, Opportunities, etc.) can be synchronized concurrently. Exceeding this limit could impact the performance of existing sync jobs or prevent new sync jobs from being configured.
Key points to consider include:
* Performance Impact: Syncing too many objects simultaneously can lead to increased load times and potential delays in data availability, impacting users' ability to access up-to-date information.
* Resource Allocation: CRM Analytics allocates resources based on the number of objects being synchronized, and there are practical limits to these resources to ensure stable and efficient operation.
For a more detailed understanding and to manage these limits effectively, Salesforce provides documentation and guidelines within the CRM Analytics resources, which can be further explored in the Trailhead modules specifically focusing on data management and synchronization practices.


NEW QUESTION # 108
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?

Answer: C

Explanation:
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.


NEW QUESTION # 109
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?

Answer: C


NEW QUESTION # 110
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?

Answer: A

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 # 111
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