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| Section | Objectives |
|---|---|
| Dashboard and App Development | - Interactive filters and user experience optimization - Lens creation and dashboard design |
| Security and Access | - Row-level security and sharing rules - App and dataset permissions |
| Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations |
| Data Integration and Connectivity | - Data synchronization and refresh strategies - Connecting external data sources |
| Data Management and Preparation | - Dataset creation and configuration in CRM Analytics - Data transformation and dataflows |
1. 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 datasetswere created from a locale with a PST time zone while CK is in the CET time zone.
What led to this problem?
A) The developer turned off dynamic time zone in CRM Analytics settings.
B) Data within datasets is modified for localization or internationalization.
C) The dataset metadata locale Is not overridden by Individual user locale settings.
2. 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".
3. A project team member uploads a CSV file to CRM Analytics, and they notice a few records failed during the upload. The manager wants to view the error log generated so this can be fixed and uploaded again. The manager has the CRM Analytics administrator permissionbut is unable to download the error log details.
Why is the manager unable to download the log details?
A) They do not have the Download CRM Analytics Data permission enabled.
B) Only the user who uploaded the external data file can download the error log.
C) They do not have the Upload External Data to CRM Analytics permission enabled.
4. A team of CRM Analytics developers has been working on an existing recipe to add new derived fields. The edited version has been failing ever since, and management is requesting that the dashboard show refreshed data while they work on the edits.
How can the developers add new fields while keeping the dataset refreshed?
A) Clone the existing recipe to add fields and roll back the original recipe to the last working version.
B) A recipe for the new fields and when that is successful, add it to the existing recipe as a join node.
C) Refresh the dataset after working hours to avoid the edited version from failing.
5. Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?
A) An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols
B) An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
C) An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |
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