Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Exam Questions Instant Access

Question 1

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

What is the most efficient way to accomplish this?

ACreate a trigger on Case object and use REST APIs to append the predictions into the business process.

BUse the Einstein Discovery flow action to make a prediction with the flow.

CWrite an Apex class with Einstein Discovery Predictions and append them to process.

Answer : B

Question 2

Universal Containers has a dashboard for sales managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. A CRM Analytics consultant creates a custom query to display three values:

ClosedDate_month, ClosedDate_ quarter, and ClosedDate_year.

What should the consultant do next?

AUse result binding/interaction to update the grouping in the chart.

BUse selection binding/interaction to update the grouping In the chart.

CUse selection binding/interaction to update the measure In the chart.

Answer : B

Question 3

AW Computing will start using Tableau Online to report on some of its Salesforce data to users who do NOT have an SFDC license.

What is the first step the CRM Analytics consultant should take?

AUse MuleSoft to generate an API ta connect and push data from SFDC to Tableau.

BSelect the output connection in the ''write to'' option of the recipe.

CEnable the Tableau output connection in the Analytics settings.

Answer : C

Question 4

The marketing team at Cloud Kicks has five dashboards in an app. Four widgets are replicas of each other in three of the dashboards.

What is the best way to maintain these widgets?

ACreate/Edit a lens and add each dashboard.

BCreate/Edit the widgets individually on each dashboard.

CCreate/Edit a component for the widgets.

Answer : C

To maintain consistency and ease of updates across multiple dashboards, creating or editing a component for the widgets is the most effective method. This approach:

Efficiency in Updates: Allows changes to be made in one place, which automatically propagates to all instances where the component is used across dashboards.

Consistency: Ensures uniformity in the appearance and functionality of the widgets across different dashboards.

Simplicity: Reduces the need for redundant work, where each widget would otherwise need to be updated individually.

Question 5

Universal Containers (UC) is using CRM Analytics to create two datasets.

* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension

* Dataset B: Contains a list of users with a "userID" dimension

UC wants to delete all activities from Dataset A related to users in Dataset B.

How should the CRM Analytics consultant help UC achieve this?

AUse the combination of recipe transformations: 'join' and ''filter''.

BUse the recipe node 'delete' and set 'userID' as the deletion ID.

CUse the ''update'' transformation and utilize the 'filter' node.

Answer : A

In CRM Analytics, when dealing with two datasets, such as Dataset A (activities) and Dataset B (users), and you want to delete records from Dataset A based on the users listed in Dataset B, you would typically use a combination of a join and filter transformation in a recipe. The join transformation allows you to combine data from both datasets based on the shared userID dimension, and the filter transformation would then be used to delete or exclude any activities from Dataset A that are associated with the users from Dataset B. This approach ensures that only relevant activities remain in Dataset A after filtering out the unwanted ones. Reference: CRM Analytics Recipes: Join and Filter Transformations

Question 6

Exhibit.

Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?

AUse 'Connect Data Sources' and create a connection to connect the two datasets.

BUse ''Connect Data Sources' and create a connection to connect the two widgets.

CUse result binding/Interaction in the filters section of the query 'Type 1''.

Answer : A

Question 7

Cloud Kicks (CK) has a dashboard that is still showing 10 former account managers. CK has since expanded, and some have moved from their former roles. CK wants the dashboard to reflect current account managers and stay up to date as new team members join.

How should the CRM Analytics developer accomplish this?

AUse a Repeater Widget that updates automatically as the data flows through the system.

BCreate @ Watchlist and when the number of account manager updates, update the dashboard to reflect the same.

CBuild a report and get notified when a new account manager joins, and then edit the dashboard to add the account manager.

Answer : A

The Repeater Widget in CRM Analytics allows dynamic updates to be reflected on the dashboard automatically as data flows are updated. This means that as new account managers join or existing account managers change roles, the data in the widget will automatically reflect the latest information without manual updates. This is the most efficient way to keep the dashboard up-to-date with the current list of account managers.