質問 1: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 fild to 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 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".
C. 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".
正解:C
解説: (Topexam メンバーにのみ表示されます)
質問 2:After the initial creation of a model, the first model insight explains
93% of the variation of the outcome variable. This is unusually high.
What is the most likely reason for this?
A. The model contains too many outlier values.
B. The dataset contains multiple dominant values.
C. The outcome variable may be causing data leakage.
正解:C
質問 3: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 powered by Salesforce Flow.
What is the most efficient way to accomplish this?
A. Use the Einstein Discovery flow action to make a prediction with the flow.
B. Create a trigger on Case object and use REST APIs to append the predictions into the business process.
C. Write an Apex class with Einstein Discovery Predictions and append them to process.
正解:A
質問 4:CRM Analytics consultant receives a new project from a client that wants to implement CRM Analytics. They do not currently have CRM Analytics but want guidance on how to ensure their users have the correct access.
They have 1,000 users with a small team of three people who will build both datasets and dashboards. An additional 15 people should be able to only create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
Which recommendation should the consultant give the client?
A. Assign the app permissions "viewer", "editor", and "manager" to the three types of roles defined.
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.
正解:B
質問 5:A CRM Analytics consultant is updating an existing recipe.
They are looking to add a few additional fields onto the Account dataset. One of the fields to be added is a multi-select picklist field that needs to be shown as text on the dashboard.
What should the consultant do to accomplish this?
A. Use the array_join multivalue runcuen co convert this field to a text prior to registering the dataset.
B. Use the string multivalue function to convert this field to a text prior to registering the dataset.
C. Use the array multivalue function to convert this field to a text prior to registering the dataset.
正解:A
質問 6:Universal Containers intends to use a custom Salesforce big object in its org and visualize the data using CRM Analytics. As the number of rows to be synced is quite large, the CRM Analytics consultant is looking to set up an incremental sync with additional filters added as part of the data sync to improve performance.
What should the consultant keep in mind while implementing this?
A. Only SOSL queries can be used as data syne filters.
B. Custom big objects are NOT supported by CRM Analytics.
C. Incremental data syne Is NOT supported for big objects.
正解:C
質問 7:Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting dat
a. 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 Account 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 Opportunity Name as the partition and Y-M-W as the Date Cols
正解:A
解説: (Topexam メンバーにのみ表示されます)
質問 8:Which capability can a consultant use if "Deploy without connecting to a Salesforce Object" is selected while deploying the model?
A. Einstein Predictions Component score
B. Predict Function in Salesforce flows
C. No-Code Writeback to SFDC objects
正解:B
解説: (Topexam メンバーにのみ表示されます)
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Salesforce ANC-301 認定試験の出題範囲:
トピック | 出題範囲 |
---|
トピック 1 | - Running, Monitoring, and Scheduling a Dataflow
- Loading External CSV Data
|
トピック 2 | - Implementing Team-Based Row-Level Security
- Assigning Licenses and Permission Sets to Users
|
トピック 3 | - Adding Quick Action Menus for Records in Tableau CRM
- Overview of Extended Metadata (XMD)
|
トピック 4 | - Overview of User Access on the Tableau CRM Platform
- Creating Tableau CRM Permission Sets
|
トピック 5 | - Overriding Security for Implementation and Testing
- Implementing Ownership-Based Row-Level Security
|
トピック 6 | - Establishing Your Users and Development Process
- Discovery and Planning
|
参照:https://trailhead.salesforce.com/en/academy/classes/anc301-working-with-data-and-dashboards-in-einstein-analytics/