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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	Analytics Dashboard Implementation: Here, consultants embark on a creative exploration of dashboard configuration, optimization of query performance using Dashboard Inspector, and using advanced functionality such as windowing.
Topic 2	Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.
Topic 3	Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q29-Q34):

NEW QUESTION # 29
Is there a need for a separate Permission Set Licence for an Analytics app?

A. No
B. Yes

Answer: B

NEW QUESTION # 30
A CRM Analytics consultant has been asked to bring data from an external database as well as five external Salesforce environments into CRM Analytics. 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?

A. Total number of enabled objects
B. Salesforce external connector number of synced rows
C. Storage rows of data

Answer: A

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 # 31
A dashboard designer at Cloud Kicks creates a dashboard in CRM Analytics. The designer notices fields display on the dashboard with their API labels, such as "AccountId.Industry", and wants to change this behavior.
The designer also notices that the fields and their order appear to randomly change when a values table is created.
What should the CRM Analytics consultant explain to help the designer?

A. The default fields In a values table and the field labels can be modified in the dataset explorer.
B. The field labels can only be changed in the widget properties in the dashboard edit mode.
C. The default fields in a values table can be changed by reordering how fields appear in the JSON of the value table.

Answer: A

Explanation:
For the scenario at Cloud Kicks where fields display with their API labels and the fields in a values table seem to change order randomly, the correct approach is to modify these settings in the dataset explorer within CRM Analytics. This allows for a more intuitive display and control over how data is presented in dashboards.
Here's how these adjustments help:
Modifying Field Labels: Changing the field labels from their API names to more user-friendly names enhances readability and user experience. This can be done directly in the dataset explorer, which affects how fields appear across all dashboards utilizing that dataset.
Controlling Field Order: The order of fields in a values table can seem random if not explicitly set. By using the dataset explorer, a designer can specify the order in which fields appear, which then reflects consistently in the dashboard's values table.
This functionality is part of CRM Analytics' aim to provide flexible and customizable data visualization tools. Training on these features is available through various Salesforce Trailhead modules that discuss dashboard and dataset customization techniques, providing practical insights and guided tutorials to enhance dashboard design and user interaction.
Both these explanations are consistent with best practices as outlined in Salesforce's CRM Analytics documentation and the Trailhead educational content, ensuring that users are well-equipped to leverage the full capabilities of CRM Analytics for effective data management and presentation.

NEW QUESTION # 32
Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to next steps?

A. Edit the model accuracy settings and rerun the story.
B. Identify additional data that may have a stronger relationship with the outcome variable.
C. Rerun and update the story with a different algorithm.
D. Proceed with deployment if the model quality metric values ire sufficient.

Answer: B,D

NEW QUESTION # 33
Default # rows in compare table.

A. 0
B. 1
C. 2
D. 3

Answer: C

NEW QUESTION # 34
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