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Tableau-CRM-and-Einstein-Discovery-Consultant Exam Dumps : Salesforce Tableau CRM Einstein Discovery Consultant (SU24)

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Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant Exam Dumps FAQs

Q. # 1: What is the Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant Exam?

This certification validates your ability to design, build, and implement CRM Analytics (formerly Tableau CRM) and Einstein Discovery solutions. Its ideal for professionals who work with Salesforces advanced analytics and AI tools to drive data-driven decisions.

Q. # 2: Who is the target audience for Tableau-CRM-and-Einstein-Discovery-Consultant Exam?

The exam is designed for consultants, analysts, and developers with hands-on experience in CRM Analytics and Einstein Discovery. Candidates should be familiar with data ingestion, dashboard creation, and predictive modeling within Salesforce.

Q. # 3: How many questions are on the Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant Exam?

The Tableau-CRM-and-Einstein-Discovery-Consultant exam consists of 60 multiple-choice questions, and you must score 68% or higher to pass.

Q. # 4: What is the duration of the Exam?

Youll have 90 minutes to complete the Tableau-CRM-and-Einstein-Discovery-Consultant exam, which is administered via Kryterion Webassessor either online or at a test center.

Q. # 5: What topics are covered in the Tableau-CRM-and-Einstein-Discovery-Consultant Exam?

The Tableau-CRM-and-Einstein-Discovery-Consultant exam covers six key domains:

  • Data Layer (24%)

  • Security & Access (11%)

  • CRM Analytics Dashboard Creation (19%)

  • Einstein Discovery Story Creation (19%)

  • Deployment (12%)

  • System Maintenance (15%)

Q. # 6: What is the difference between Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant and Service-Cloud-Consultant?

Tableau-CRM-and-Einstein-Discovery-Consultant exam focuses on data analytics, AI modeling, and dashboard creation using Salesforce’s advanced analytics tools. While the Service-Cloud-Consultant exam centers on customer service processes, case management, and configuring support solutions in Salesforce Service Cloud.

Q. # 7: Is there any prerequisite for this certification?

While there are no formal prerequisites, Salesforce recommends completing the ANC201 and ANC301 training modules and having 12 years of experience in CRM Analytics and Einstein Discovery.

Q. # 8: How can CertsTopics help me pass the Exam?

CertsTopics provides expertly curated Tableau-CRM-and-Einstein-Discovery-Consultant PDFs and testing engine materials. With real questions, detailed explanations, and instant access, youre equipped for first-attempt success.

Q. # 9: What is the success guarantee offered by CertsTopics?

We offer a success guarantee, our materials are designed to help you pass confidently. If you study with our Tableau-CRM-and-Einstein-Discovery-Consultant dumps and practice tests, your chances of passing increase significantly.

Salesforce Tableau CRM Einstein Discovery Consultant (SU24) Questions and Answers

Question 1

Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

Options:

A.

Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.

B.

Cancel this story and redefine the dataset.

C.

Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.

D.

Do nothing; they appear to be similar, but there might be differences from the business perspective.

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Question 2

When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

Options:

A.

No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.

B.

No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.

C.

yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.

D.

Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.

Question 3

Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.

Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers

Options:

A.

Use selection binding in the filters section of the step "Step_pie_1."

B.

Enable the option "Apply filters from faceting" in the step "Region_1."

C.

Enable the option "Apply filters from faceting" in the step "Step_pie_1."

D.

Use selection binding in the filters section of the step "Region_1."