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Salesforce CRM Analytics and Einstein Discovery Consultant Exam Questions

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Description

Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
Exam Code: CRM Analytics and Einstein Discovery Consultant
Related Certification(s):

  • Salesforce Consultant Certifications
  • Salesforce CRM Analytics and Einstein Discovery Consultant Certifications
Certification Provider: Salesforce
Actual Exam Duration: 90 Minutes
Number of CRM Analytics and Einstein Discovery Consultant practice questions in our database: 115 (updated: Jan. 13, 2025)
Expected CRM Analytics and Einstein Discovery Consultant Exam Topics, as suggested by Salesforce :

  • Module 1: Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It’s all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.
  • Module 2: 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.
  • Module 3: Admin/Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync/dataflows/recipes limits.
  • Module 4: 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.
  • Module 5: Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.
  • Module 6: 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.

Description

Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant
Exam Code: CRM Analytics and Einstein Discovery Consultant
Related Certification(s):

  • Salesforce Consultant Certifications
  • Salesforce CRM Analytics and Einstein Discovery Consultant Certifications
Certification Provider: Salesforce
Actual Exam Duration: 90 Minutes
Number of CRM Analytics and Einstein Discovery Consultant practice questions in our database: 115 (updated: Jan. 13, 2025)
Expected CRM Analytics and Einstein Discovery Consultant Exam Topics, as suggested by Salesforce :

  • Module 1: Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It’s all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.
  • Module 2: 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.
  • Module 3: Admin/Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync/dataflows/recipes limits.
  • Module 4: 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.
  • Module 5: Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.
  • Module 6: 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.

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Q1. The CRM Analytics consultant at Cloud Kicks is asked to a dashboard displaying Opportunities data on the account's record page. The dashboard should display only opportunity data related to the current account viewed. How should the consultant accomplish this?

A.Create the dashboard, insert in the account's record page, and apply a filter based on the opportunity's Id field.

B. Create the dashboard, insert in the account's record page, and apply a filter based on the account's Id field.

C. Create a dashboard, clone it and filter It for each account record, and embed them into the account's record pages accordingly.

Correct Answer: B

Q2. Universal Containers' CRM Analytics team is building a dashboard with two widgets, and the queries use different datasets. 1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection) 2. Donut chart widget associated to the query "Query_pie_3" and grouped by the dimension "Type" The team wants any selection in the List widget to filter the Donut chart and vice vers a. Users should be able to choose more than one Type (multi-selection). What is the recommended way to accomplish the required filtering?

A.Use 'Connect Data Sources' to create a mapping of the two fields from the two datasets.

B. Create a selection based Interaction and apply It to the query of 'Query ple 3'.

C. Set up a result and selection based interaction for each query.

Correct Answer: C

Q3. Cloud Kicks (CK) wants to use CRM Analytics to analyze trends of its sales pipeline in order to accelerate the company's sales process. To do so, CK needs to know the average time an opportunity spends in each stage. The data can be found in the Opportunity History object, but the value is not pre-calculated in Salesforce, so a consultant recommends using a recipe to calculate it. How should the consultant use a recipe to calculate the average time an opportunity spends in each stage?

A.An aggregate transformation with offset parameter to calculate the duration

B. Flatten transformation with offset expressions to calculate the duration

C. Custom transformation with a multiple row formula to calculate the duration

Correct Answer: C

Q4. A CRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice 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 deploy. Which action should the consultant take?

A.A Identify additional data that may have a stronger relationship with the outcome variable.

B. Edit the model accuracy settings and rerun it to evaluate the correlation.

C. Use the appropriate algorithm and update the model.

Correct Answer: A

Q5. A CRM Analytics consultant is asked to make changes to the current sales dashboard at Cloud Kicks. The dashboard is crucial to track the daily sales performance of the company and needs to be available for other users while the consultant works on the changes. How should the consultant proceed to update the dashboard?

A.Wait for a period of least usability or the dashboard to edit it.

B. Self assign as a dashboard publisher and make the changes to the dashboard in draft mode while maintaining a previous version live.

C. Clone the dashboard to a new one, apply the changes, share the new dashboard with the users, and delete the old one.

Correct Answer: B

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