Free Feb-2025 UPDATED Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Questions & Answer
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NEW QUESTION # 40
When you assign any Analytics permission set to users in your org, Salesforce auto-assigns the Analytics Platform permission set license to that user.
- A. True
- B. False
Answer: A
NEW QUESTION # 41
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?
- A. Build a report and get notified when a new account manager joins, and then edit the dashboard to add the account manager.
- B. Create @ Watchlist and when the number of account manager updates, update the dashboard to reflect the same.
- C. Use a Repeater Widget that updates automatically as the data flows through the system.
Answer: C
Explanation:
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.
NEW QUESTION # 42
Why is it important to select the right root object when you use the dataset builder?
- A. The root object determines who can see the dataset.
- B. The root object determines what related objects you can add to the dataset.
- C. The root object determines what app the dataset is saved in.
- D. Only data from the root object can be included in the dataset.
Answer: B
NEW QUESTION # 43
A Tableau CRM consultant has created three recipes that each produce a dataset.
Recipe1 creates Dataset1.
Recipe2 created Dataset2.
Recipe2 created Dataset3.
Recipe3 is dependent on Dataset1, while Recipe1 and Recipe2 have no dependencies.
How should the consultant implement the recipe schedule?
- A. Make all three recipe time based and schedule all of them at the same time, the data manage will automatically run them in the correct order.
- B. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when Recipe1 has successfully completed.
- C. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when Recipe1 and Recipe2 have successfully completed.
- D. Make Recipe1 and Recipe2 time based, but make Recipe3 event based when the local Salesforce connector has completed.
Answer: B
NEW QUESTION # 44
Max story creations per org per month
- A. 500 (can purchase more)
- B. 200 (can purchase more)
- C. 0
- D. 1000 (can purchase more)
Answer: A
NEW QUESTION # 45
You can get data into Einstein Discovery:
- A. Only if your database administrator does it for you
- B. Only if Salesforce does it for you
- C. By using an Einstein analytics dataset
- D. By connecting a USB drive to your laptop
Answer: C
Explanation:
Reference:
https://trailhead.salesforce.com/content/learn/modules/wave_exploration_smart_data_discovery_basics/wave_get_smart_data_discovery_and_data
NEW QUESTION # 46
An Einstein Analytics team created a funnel chart to show the number of opportunities in each stage. The managers who use the chart report that the funnel shows stages in alphabetical order instead of sales cycle order.
In which two ways can a consultant help them address this issue? Choose 2 answers
- A. Use a dataflow to rename the stages with a preceding number.
- B. Use a dataflow to sort the stages by their internal name.
- C. Use a dashboard JSON to rename stages.
- D. Use a dataset XMD to rename stages.
Answer: A,D
NEW QUESTION # 47
A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.
What should the consultant use to complete the migration?
- A. Change sets
- B. Analytics dashboard connector
- C. Analytics External Data API
Answer: A
NEW QUESTION # 48
Max story creations per org per day:
- A. 20 per org per clay
- B. 20 per org
- C. 40 per org per clay
- D. 40 per org
Answer: A
NEW QUESTION # 49
Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed 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 next steps?
- A. Edit the model accuracy settings and rerun the story.
- B. Rerun and update the story with a different algorithm.
- C. Identify additional data that may have a stronger relationship with the outcome variable.
- D. Proceed with deployment if the model quality metric values ire sufficient.
Answer: C,D
NEW QUESTION # 50
The CRM Analytics consultant at Cloud Kicks (CK) notices that a specific dashboard is showing a different date and time from their locale. Upon investigating, they find that the recipe and datasets were created from a locale with a PST time zone while CK is in the CET time zone.
What led to this problem?
- A. The dataset metadata locale Is not overridden by Individual user locale settings.
- B. The developer turned off dynamic time zone in CRM Analytics settings.
- C. Data within datasets is modified for localization or internationalization.
Answer: B
NEW QUESTION # 51
Mosaic recently hired a new development coordinator, Zoe. First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can't access Einstein Analytics. What could be the problem?
- A. Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.
- B. Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.
- C. An admin hasn't run a dataflow.
- D. Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.
Answer: D
NEW QUESTION # 52
Universal Containers (UC) is rolling out CRM Analytics to its field sales that include dashboards withorder data from an external source.
UC has a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. In addition, the order data has a reference to a Salesforce opportunity.
An individual sales rep should be able to view all orders that they own or as part of the account team or opportunity team. The sales manager should be able to view all orders for the entire sales team. Similarly, the VP of sales should be able to view orders for everyone who rolls up in that hierarchy.
The dataset has a field called Ownerld which represents the order owner.
Given this information, how should a CRM Analytics consultant implement the above requirements?
- A. As part of the recipe, use the flatten operation on the role hierarchy, create a multi-value attribute called 'ParentRoleIDs' on the dataset, and apply the following security predicate: 'ParentRoleIDs' == "$User.UserRoleld" || 'TeamMember.Id' '$User, Id" || 'Ownerld' == "$User.Id".
- B. As part of the recipe, use a formula on the Roleid fild to create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' == ''$UserRoleId'' || Owned\ == '$User,id\\,
- C. As part of the recipe, use a multi row formula on the Roleld field to create an attribute called 'ParentRoleIDs' on the dataset, and apply the following security predicate: "$User.UserRoleld" || 'Ownerld' == "$User.Id".
Answer: A
Explanation:
In addressing the requirements of Universal Containers to ensure proper visibility of order data across different levels of the sales hierarchy, the use of a security predicate based on role hierarchies is paramount. Here's why Option B is the ideal approach:
Flatten Operation on Role Hierarchy: This operation is essential as it allows for the creation of a simplified or "flattened" view of the hierarchical relationships within the organization. This flattened view enables the dataset to understand and respect the hierarchical structure in security implementations.
Creating a Multi-value Attribute ('ParentRoleIDs'): By creating this attribute, the recipe can hold multiple role IDs that a particular user has visibility permissions for. This is crucial in a hierarchical organization like UC where data visibility needs to cascade down the hierarchy.
Security Predicate: The predicate ('ParentRoleIDs' == "$User.UserRoleld" || 'TeamMember.Id' == '$User.Id' || 'Ownerld' == "$User.Id") effectively enforces that:
A user can see all orders where their role matches any of the role IDs in the 'ParentRoleIDs' list (hierarchical visibility).
A user can see all orders where they are specifically listed as a team member.
A user can see all orders where they are the owner.
This approach aligns with best practices for implementing row-level security in CRM Analytics, ensuring data visibility is managed correctly according to the defined organizational hierarchy and individual data ownership.
NEW QUESTION # 53
An Einstein Consultant receives a new project from a client that wants to implement Einstein Analytics. They do not currently have Einstein Analytics, but want guidance around how to ensure that their users have correct access.
They have 1000 users with a small team of three people who will build datasets and dashboards. An additional 15 people should be able to create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
- A. Assign "Einstein Analytics Explorer" licenses to users that should only view the dashboard, and assign "Einstein Analytics Developer" licenses to users that should be able to create datasets and dashboards.
- B. Create and assign Salesforce permission sets according to the three types of roles defined.
- C. Create and assign three new Salesforce profiles according to the three types of roles defined.
- D. Assign the app permissions "viewer/' "editor," and "manager" to the three types of roles defined.
Answer: B
NEW QUESTION # 54
A company wants to create a timeline chart to visualize the evolution of its Closed Won opportunities.
What are the required parameters to build a lens that displays output similar to the image shown?
- A. 1 measure, 1 grouping by a date field, and either 0-1 groupings groupings by a dimension if trellis is disabled, or 0-2 groupings if trellis is enabled
- B. 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled
- C. 1 measure, 0 groupings if trellis Is disabled, or 0-2 groupings If trellis is enabled
Answer: A
Explanation:
To create a timeline chart similar to the one shown, the following parameters are typically required:
1 Measure: This could be the count of Closed Won opportunities or any other relevant metric that needs to be tracked over time.
1 Grouping by a Date Field: This is essential to plot the timeline effectively. The date field would typically be the close date of the opportunities.
Additional Groupings: Depending on the complexity and the detail needed, additional groupings can be added. For example, grouping by region or product line can provide more insights into the timeline. If trellis is used, it allows for the creation of multiple smaller charts within the main chart, each representing a slice of data based on the additional groupings.
This setup helps visualize the evolution of Closed Won opportunities over time, making it easy to spot trends, seasonal patterns, or other relevant insights.
NEW QUESTION # 55
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