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NEW QUESTION # 39
A large company has a single dataset that contains the attainment and commission fields for all sales reps. Each sales rep should be able to view the attainment data for each rep in their division. Each rep should only be able to see their own commission data.
Which option should be used to enforce this requirement?
- A. Apply a security predicate on the existing single dataset.
- B. Add the sales organization to the attainment dataset access list.
- C. Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance.
- D. Use sharing inheritance.
Answer: C
NEW QUESTION # 40
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
A set of JSON files will be generated after a template is created from the Sales Operations app. What is the name of the JSON file that manages template metadata and all other template elements'
- A. template-info.json
- B. template-to-app-rules.json
- C. aster- info.j son
- D. ui.json
Answer: A
NEW QUESTION # 41
What is a valid permission for a permission set?
- A. Always Sign Me Up for Dreamforce
- B. Enable Parental Control
- C. Sales Analytics Apps
- D. Access Sales Cloud Analytics Templates and Apps
Answer: D
NEW QUESTION # 42
Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?
- A. Cancel running installations from Setup
- B. Stop the recipe from running in Data Manager.
- C. Update the app with the new field after installation.
Answer: B
Explanation:
If the wrong field is selected in the initial setup of an app or dataset, it is important to stop any data processing activities (like recipe executions) to prevent erroneous data from being loaded into datasets and dashboards. In this case, stopping the recipe from running in Data Manager is the correct first step. Once the recipe is stopped, the consultant can update the field selection or make other necessary corrections before restarting the process.
NEW QUESTION # 43
Refer to the graphic.
Which conclusion can be made regarding the strength of the model shown?
- A. The model is very strong. A GINI coefficient of .535 shows that this model is very effective.
- B. The model is very weak and doesn't provide useful predictions due to the low threshold.
- C. The strength of the model cannot be determined with the metrics shown.
- D. The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.
Answer: B
NEW QUESTION # 44
Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?
- A. Create multiple layouts and allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.
- B. Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width
- C. Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets to ensure the content is appropriate for the device screen size.
Answer: C
Explanation:
To ensure that CRM Analytics dashboards are optimally usable on both desktop and mobile devices, creating multiple layouts tailored to each device type is crucial. Here's why Option C is the best approach:
Device-Specific Layouts: By creating specific layouts for each device type, you ensure that the dashboard contents are presented in a manner best suited to the screen size and interaction model of the device.
Layout Selectors: These are used to automatically display the appropriate layout based on the device accessing the dashboard, enhancing user experience without manual intervention.
Widget Customization: Resizing or hiding certain widgets for specific device layouts ensures that the dashboard remains clean, uncluttered, and easy to navigate, regardless of the device used.
NEW QUESTION # 45
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 a formula on the Roleid fildto create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' ==''$UserRoleId'' || Owned\ ==
'$User,id\\, - B. 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' == "$User.Id". - C. As part of the recipe, use a multi row formula on the Roleld field to create an attribute called
'ParentRoleIDs' on the dataset, and apply the following security predicate:"$User.UserRoleld" ||
'Ownerld' == "$User.Id".
Answer: B
Explanation:
In addressing the requirements of Universal Containers to ensure proper visibility of order data across different levels of the sales hierarchy, the use of a security predicate based on role hierarchies is paramount.
Here's why Option B is the ideal approach:
* Flatten Operation on Role Hierarchy: This operation is essential as it allows for the creation of a simplified or "flattened" view of the hierarchical relationships within the organization. This flattened view enables the dataset to understand and respect the hierarchical structure in security implementations.
* Creating a Multi-value Attribute ('ParentRoleIDs'): By creating this attribute, the recipe can hold multiple role IDs that a particular user has visibility permissions for. This is crucial in a hierarchical organization like UC where data visibility needs to cascade down the hierarchy.
* Security Predicate: The predicate ('ParentRoleIDs' == "$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 # 46
An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?
- A. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
- B. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
- C. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
- D. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
Answer: A
Explanation:
https://help.salesforce.com/articleView?id=bi_edd_wb_native.htm&type=5
NEW QUESTION # 47
A versioning feature allows CRM Analytics users to be added as Publishers and make changes separately while a 'Live' version is still being used by other users. Once the changes are complete, the user can then set their updated version as the Live version.
Which CRM Analytics item is this leveraged for?
- A. goats
- B. Dataset
- C. App
Answer: C
Explanation:
In CRM Analytics, the versioning feature described is typically leveraged for Apps. This feature allows:
Parallel Development: Users can work on changes in a separate version without affecting the live version being accessed by others.
Controlled Publishing: Once changes are finalized, the user can then promote their version to be the new live version, ensuring seamless updates without disrupting ongoing usage.
Collaborative Workflows: Facilitates teamwork by allowing multiple users to propose and test changes in a controlled environment before making those changes live.
This approach ensures that CRM Analytics apps remain dynamic and can evolve over time while maintaining stability and continuity for end-users.
NEW QUESTION # 48
A consultant is asked to configure a user to view a dashboard, within a designated app, without the ability to create and save lenses. After adding the user to the app, which action should the consultant take to implement this requirement?
- A. Ensure the user has the Use Analytics permission.
- B. Assign the Manager role to the user.
- C. Assign the Editor role to the user.
- D. Assign the Viewer role to the user.
Answer: A
NEW QUESTION # 49
Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first 6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.
How should a CRM Analytics consultant help UC build this lens?
- A. Use a "fill" statement in SAQL query with a "partition" parameter.
- B. Use a "Compare Table" and add a column leveraging the "Running Total" function.
- C. Use a "Compare Table" and use the "Show Totals" option.
Answer: B
NEW QUESTION # 50
Max story creations per org per month
- A. 1000 (can purchase more)
- B. 200 (can purchase more)
- C. 0
- D. 500 (can purchase more)
Answer: D
NEW QUESTION # 51
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5
- 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 the collinear variables are not removed, the Einstein Discovery model build will fail.
- D. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
Answer: B
NEW QUESTION # 52
What does Einstein Analytics check when a user submits a query against a dataset?
- A. Which fields the user has access to
- B. If the user has access to the dataset
- C. Whether the user has access to the app
- D. Which rows the user has access to
Answer: D
NEW QUESTION # 53
A new field called "CardBalance" is added to the standard object. Account. The team wants to add this new field to an Einstein Analytics dataset that sources the Account object; however, the team needs to limit the users who are able to view that field's data in the dataset.
How can an Einstein Consultant help them implement this new requirement?
- A. Add the new field to the existing dataset and use "Security Predicates' to hide it from users who should not access it.
- B. Add the new field to the existing dataset and activate "Sharing inheritance" in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.
- C. Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.
- D. Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.
Answer: D
NEW QUESTION # 54
The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back.
However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?
- A. Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.
- B. Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
- C. Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.
Answer: A
NEW QUESTION # 55
To use the Sales Analytics app, which permission set license do you need?
- A. Sales Wave
- B. Security User
- C. Sales Analytics Apps
- D. Analytics Templated Apps
Answer: C
Explanation:
Each prebuilt Analytics app has its own PSL. When you set up permissions for those apps, select the right PSL. For Service Analytics, select "Service Analytics Apps." For Event Monitoring, select "Event Monitoring Analytics Apps," and so on.
NEW QUESTION # 56
What happens if the ui.json file is empty?
- A. The app includes all possible dashboards by default.
- B. You create a text-only version of an app.
- C. The dataflow fails.
- D. The template will not include a configuration wizard.
- E. B and D
Answer: D
Explanation:
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_structure
NEW QUESTION # 57
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2025 Valid CRM-Analytics-and-Einstein-Discovery-Consultant test answers & Salesforce Exam PDF: https://www.exam4docs.com/CRM-Analytics-and-Einstein-Discovery-Consultant-study-questions.html
