Tableau-CRM-Einstein-Discovery-Consultant EXAM PREPARATION

Prepare Smarter for the Tableau-CRM-Einstein-Discovery-Consultant Exam

Build your exam confidence with flexible preparation resources designed around the latest Tableau-CRM-Einstein-Discovery-Consultant exam objectives. Practice at your own pace using PDF questions, online exam simulations, or desktop practice software.

Question #1 (Topic: demo questions)

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. What solution should be recommended?

Create 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.

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."

Create one custom app for the datasets and share it with marketing and sales as "viewer."

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."

Correct Answer: B

Explanation:

The correct answer is B because it follows proper access separation and data governance by creating two separate custom apps for marketing and sales dashboards (each restricted to their respective “viewer” groups) while also creating a third shared app for the datasets that both groups can access as viewers; this ensures that dashboards are securely isolated by business function while still allowing controlled reuse of the same underlying data without duplication or unnecessary editing permissions, which maintains consistency, security, and scalability ac

Question #2 (Topic: demo questions)

What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?

Remind them that the technology is only as good as the data.

Advise them that the use case may not be accurate.

Highlight that Einstein reduces time to insight, which is much faster than learning from experience.

Recommend using a visualization tool, like Einstein Analytics, to uncover the detailsa

Correct Answer: A

Explanation:

The correct answer is A because Einstein Discovery is a machine learning tool that identifies patterns based on the data provided, so if the insights it generates are already known to the client, the appropriate response is to remind them that the value of the tool depends heavily on the quality, depth, and uniqueness of the data being analyzed rather than expecting it to always discover new or surprising patterns.

Question #3 (Topic: demo questions)

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?

It should always be 0 or the model should not be used.

It shows the difference between the predicted outcome and the observed outcome.

It displays the difference between the analyzed data and the data not reviewed.

It only appears for outcomes that do not have an explanation.

Correct Answer: B

Explanation:

The “Unexplained Bar” in the “Why it Happened” chart in Einstein Discovery represents the portion of the outcome that the model cannot attribute to any of the factors included in the analysis, meaning it reflects the gap between the predicted outcome and the actual observed outcome, i.e., the variance not explained by the model.

Page: 1 / 1