New CRM-Analytics-and-Einstein-Discovery-Consultant Exam Questions - Reliable CRM-Analytics-and-Einstein-Discovery-Consultant Test Sims

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

Topic	Details
Topic 1	Security: Candidates stepping into this section will showcase their prowess in fortifying platforms and safeguarding data. It covers critical aspects such as user authentication, access control measures, data encryption standards, and the ability to respond to incidents and manage risks effectively.
Topic 2	Data Layer: In this comprehensive section, candidates delve into the heart of data manipulation and management within the ecosystem. It's all about showcasing a deep understanding of data modeling, securing sensitive data, and employing efficient data management techniques for compliance and optimal utilization.
Topic 3	Admin: The Admin section takes candidates on a journey through the daily management and configuration of the platforms. It tests their ability to handle administrative tasks skillfully, manage user profiles and permissions effectively, and optimize system performance to ensure seamless operations.
Topic 4	Einstein Discovery Story Design: This section unveils the magic of AI-driven insights and candidates' ability to craft compelling narratives around them. It involves leveraging Einstein's advanced analytics capabilities to interpret results, identify trends, and communicate actionable recommendations that drive strategic decisions.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q49-Q54):

NEW QUESTION # 49
A company realizes it has a lot of rich information around its cases, but unfortunately, most of this is unstructured/textual dat a. The company is exploring how to include some of this information in its case prioritization.
Which option within CRM Analytics should a consultant leverage?

A. Cluster transformation in Recipes
B. Bucket transformation in Recipes
C. Detect Sentiment transformation in Recipes

Answer: C

Explanation:
For a company with a wealth of unstructured textual data in their cases, the "Detect Sentiment" transformation within CRM Analytics Recipes is a crucial tool. This transformation analyzes the sentiment of the text data-whether it's positive, neutral, or negative-and this insight can be highly valuable in case prioritization processes. Here's why this transformation is useful:
Insight into Customer Sentiments: By detecting sentiment, the company can prioritize cases based on the urgency and emotional tone expressed in the text, which might indicate customer dissatisfaction or urgency.
Automation and Efficiency: Automatically categorizing cases based on sentiment can streamline workflows and ensure that critical cases are handled promptly.
Enhanced Customer Service: Responding to negative sentiments swiftly can improve customer satisfaction and potentially mitigate issues before they escalate.

NEW QUESTION # 50
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

A. Create a trigger on Case object and use REST APIs to append the predictions into the business process.
B. Use the Einstein Discovery flow action to make a prediction with the flow.
C. Write an Apex class with Einstein Discovery Predictions and append them to process.

Answer: B

NEW QUESTION # 51
Default rows in values table

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

Answer: B

NEW QUESTION # 52
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?

A. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".
B. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.
C. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".

Answer: C

NEW QUESTION # 53
An Einstein Analytics consultant has been asked to refactor a dashboard so that it loads more quickly. After some analysis, the consultant found that most of the dashboard steps run in less than five seconds; however, the Opportunities Table takes 30 seconds to run.
How can the consultant improve the performance of this dashboard?

A. Create a link to download the list of opportunities as an Excel file.
B. Create a second dashboard and move the table to this new dashboard.
C. Create a second page on the dashboard and move the table to this new page.
D. Create a Visualforce page and display a list view of the opportunities on this new page.

Answer: C

Explanation:
https://help.salesforce.com/articleView?id=bi_dashboard_pages.htm&type=5

NEW QUESTION # 54
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