PASS GUARANTEED 2025 TRUSTABLE SALESFORCE NEW CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT REAL EXAM

Pass Guaranteed 2025 Trustable Salesforce New CRM-Analytics-and-Einstein-Discovery-Consultant Real Exam

Pass Guaranteed 2025 Trustable Salesforce New CRM-Analytics-and-Einstein-Discovery-Consultant Real Exam

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q28-Q33):

NEW QUESTION # 28
The Universal Containers company built three Einstein Discovery stories that they want to use in Salesforce to predict and maximize their revenue per customer. The stories are for every region where they have business: EMEA, AMER, and APAC.
How can a consultant help them deploy the three Einstein models to Salesforce?

  • A. Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.
  • B. Segment the account data per region and deploy the same model to all segments.
  • C. Segment the account data per region and deploy the appropriate model for each segment.
  • D. Deploy the same model to all accounts and set the region field as an actionable variable.

Answer: C

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


NEW QUESTION # 29
After loading data to Einstein Discovery and creating a story, the client asks the Einstein Consultant to explain the "Unexplained Bar" in the "Why it Happened" chart.
Which explanation is correct?

  • A. It only appears for outcomes that do not have an explanation.
  • B. It shows the difference between the predicted outcome and the observed outcome.
  • C. It should always be 0 or the model should not be used.
  • D. It displays the difference between the analyzed data and the data not reviewed.

Answer: B


NEW QUESTION # 30
A consultant is tasked with creating a dataset and a dashboard for a sales team. During the requirements gathering, it was highlighted that security of the data is important.
It was noted that the Opportunity object has organization-wide defaults set to Private with access via the role hierarchy. Sales wants to keep this security in place for the dashboard. Looking at the Opportunity data, the consultant sees that the VP of sales can have access to up to 20,000 records and is unsure if sharing inheritance can be used.
Which approach ensures data security for the new Opportunity dataset?

  • A. Enable Inherit Sharing from Salesforce in the analytics settings and set Opportunity as the source on the dataset.
  • B. Run the Sharing Inheritance Coverage Assessment for the Opportunity object in the analytics settings.
  • C. Flatten the role hierarchy in the dataflow recipe and set a security predicate based on Opportunity owner and role path.

Answer: B

Explanation:
For ensuring that the security settings on the Opportunity object are appropriately replicated in the CRM Analytics environment, running the Sharing Inheritance Coverage Assessment is an effective strategy. Here's why:
Assessment of Inheritance Feasibility: This tool assesses whether sharing rules on the Opportunity object can be effectively inherited in the analytics environment, ensuring that the organization-wide defaults and role hierarchy are maintained.
Identification of Limitations: The assessment will identify any potential issues or limitations with inheriting sharing settings due to the large number of records (up to 20,000 for the VP of Sales), providing clear insights on how to proceed.
Guided Decision Making: Based on the outcome of the assessment, the consultant can make informed decisions about whether to directly inherit sharing or consider alternative strategies like flattening the role hierarchy or using security predicates.


NEW QUESTION # 31
A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build.
Which two design considerations should be determined at this time? Choose 2 answers

  • A. How many charts should be allowed on a single dashboard
  • B. Which charts to use to best support the defined goal
  • C. Which colors to use and how to use them
  • D. Which fonts to use for headers and body text

Answer: B,C

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


NEW QUESTION # 32
A company used Einstein Analytics to create two datasets:
1. "Opportunity With Account- dataset, which contains data from the Opportunity standard object augmented by the Account data.
2. "Case with Account" dataset. which contains data from the Case standard object augmented by the Account data.
The company wants to build a lens showing the total number of Opportunities and Cases per Account. How can a consultant help them build this lens'

  • A. Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.
  • B. Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated by Account, and use the generated dataset in a lens.
  • C. Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.
  • D. Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.

Answer: A


NEW QUESTION # 33
......

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