CRM-Analytics-and-Einstein-Discovery-Consultantテスト問題練習試そう!2025年に更新された117問あります [Q19-Q41]

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CRM-Analytics-and-Einstein-Discovery-Consultantテスト問題練習試そう!2025年に更新された117問あります

更新された2025年03月プレミアムCRM-Analytics-and-Einstein-Discovery-Consultant試験エンジンPDFで今すぐダウンロード!無料更新された117問あります

質問 # 19
What does Einstein Analytics check when a user submits a query against a dataset?

  • A. If the user has access to the dataset
  • B. Which rows the user has access to
  • C. Whether the user has access to the app
  • D. Which fields the user has access to

正解:B


質問 # 20
A CRM Analytics consultant has been tasked with providing access to CRM Analytics for a few users. They should be able to view the data but unable to export it.
Which permission should the consultant make sure to NOT include?

  • A. View CRM Analytics Assets
  • B. Export CRM Analytics data
  • C. Download CRM Analytics data

正解:C


質問 # 21
Max number of dataflow definitions (with data sync enabled)

  • A. 0
  • B. 1
  • C. 2
  • D. 3

正解:D


質問 # 22
A consultant has been asked to build and embed a dashboard in a Lightning page. Users should only be able to change the dashboard contrast and open Analytics Studio from the header of the dashboard.
How should the consultant achieve this?

  • A. Deselect the "Show Share Icon" and "Enable Subscriptions" buttons.
  • B. Deselect the "Enable Notifications" and "Enable Subscriptions" buttons.
  • C. Deselect the "Enable Notifications" and "Enable Email" buttons.

正解:B


質問 # 23
A company wants to allow users who belong to an account team to see all the Opportunities associated with that Account in Einstein Analytics.
Which two actions accomplish this requirement? Choose 2 answers

  • A. In the dataflow, extract the OpportunityTeamMember object and augment it with the Opportunity object using 'Opportunityld' as the join field and apply the following security predicate: 'OpportunityTeamMember.Userld' == "$User.Id".
  • B. Apply sharing inheritance.
  • C. In the dataflow, extract the AccountTeamMember object and augment it with the Opportunity object using 'Accountld' as the join field and apply following security predicate: 'AccountTeamMember.Userld' == "$User.Id".
  • D. Create a master-detail relationship between the Salesforce Account and Opportunity objects.

正解:B、C


質問 # 24
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?

  • A. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".
  • B. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.
  • C. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".

正解:A


質問 # 25
The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an "activitylD" dimension and a "userlD" dimension Dataset B: contains a list of users with a "userlD" dimension The team wants to delete from Dataset A all activities related to users in Dataset B.
How can an Einstein Consultant help them achieve this?

  • A. Use the dataflow transformation "delete" and set "userlD" as the deletion ID.
  • B. Use an external ETL tool to extract both datasets and delete records.
  • C. Use a combination of dataflow transformations: "augment" and "filter."

正解:C

解説:
D, Use the recipe operation "delete" and set "userlD" as the deletion ID.


質問 # 26
As a tableau CRM consultant you have been asked to bring data from a Snowflake database as well external Salesforce environment into Tableau CRM (CRM Analytics Plus edition). 25 objects have been enabled from the local Salesforce connector. After further investigation of the external Salesforce environment and 15 object each from the remaining 2 external Salesforce environment. You estimate each connector will per object bring between 1000 and 1 mil rows of data.
What limit will be exceeded?

  • A. Snowflake connector number synced rows
  • B. Total number of enabled objects
  • C. Salesforce external connector number of synced rows
  • D. Storage rows of data

正解:C


質問 # 27
A consultant is tasked with creating a dataset and a dashboard for a sales team. During the requirements gathering, it was highlighted that security of the data is important.
It was noted that the Opportunity object has organization-wide defaults set to Private with access via the role hierarchy. Sales wants to keep this security in place for the dashboard. Looking at the Opportunity data, the consultant sees that the VP of sales can have access to up to 20,000 records and is unsure if sharing inheritance can be used.
Which approach ensures data security for the new Opportunity dataset?

  • A. Run the Sharing Inheritance Coverage Assessment for the Opportunity object in the analytics settings.
  • B. Flatten the role hierarchy in the dataflow recipe and set a security predicate based on Opportunity owner and role path.
  • C. Enable Inherit Sharing from Salesforce in the analytics settings and set Opportunity as the source on the dataset.

正解:A

解説:
For ensuring that the security settings on the Opportunity object are appropriately replicated in the CRM Analytics environment, running the Sharing Inheritance Coverage Assessment is an effective strategy. Here's why:
Assessment of Inheritance Feasibility: This tool assesses whether sharing rules on the Opportunity object can be effectively inherited in the analytics environment, ensuring that the organization-wide defaults and role hierarchy are maintained.
Identification of Limitations: The assessment will identify any potential issues or limitations with inheriting sharing settings due to the large number of records (up to 20,000 for the VP of Sales), providing clear insights on how to proceed.
Guided Decision Making: Based on the outcome of the assessment, the consultant can make informed decisions about whether to directly inherit sharing or consider alternative strategies like flattening the role hierarchy or using security predicates.


質問 # 28
An Einstein Consultant is reviewing the "Why it Happened" Insights provided by Einstein Discovery with the customer. The customer would like to validate the results. Which action should the consultant take?

  • A. Consult with a Data Scientist to validate the findings
  • B. Check the p-values and standard deviation
  • C. Show the customer how to export and review the R-Code model validation results
  • D. Use the Share and Export feature to help the customer determine if the findings make logical sense

正解:D


質問 # 29
Universal Containers uses CRM Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users in the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.
How should a CRM Analytics consultant address this need?

  • A. Create one app for each department, put common datasets in the shared app, and use permission sets to share apps.
  • B. Create one app for each department, put common datasets in the shared app, and use roles to share apps.
  • C. Create one app for each department, put common datasets in the shared app, and use profiles to share apps.

正解:A

解説:
For managing access to department-specific dashboards while leveraging common datasets, the best approach involves the use of apps and permission sets. Here's why:
App Segregation: Creating a separate app for each department (Sales, Service, Marketing) allows for tailored dashboards and datasets to be grouped by department, facilitating easier management and navigation.
Shared Common Datasets: Placing common datasets in a shared app ensures that all departments can access necessary data without duplication, maintaining consistency and reducing storage requirements.
Use of Permission Sets: Leveraging permission sets to control access to these apps is a flexible and scalable approach. Permission sets can be finely tuned to grant or restrict access based on user roles within the organization, and they can be easily adjusted as roles or organizational structures change.
This structure not only ensures data security and appropriate access but also enhances the efficiency of managing CRM Analytics resources across different departments.


質問 # 30
Exhibit:

Which two statements can be determined based on the Why it Happened graphic above' Choose 2 answers

  • A. Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.
  • B. Germany sells more Call Center product and that helps them increase their win rate.
  • C. The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.
  • D. Germany performs lower than average but better when the product is Call Center.

正解:A、B


質問 # 31
In the Insights list, insights are ranked in what order?

  • A. Alphabetical
  • B. Time
  • C. Statistical significance
  • D. Geospatial
  • E. There is no order

正解:C


質問 # 32
The Event Monitoring Analytics app brings prebuilt insights and analytics to what type of existing data in your org?

  • A. Event log file data
  • B. Forensics data
  • C. Field audit trail data
  • D. Sales Cloud data Login

正解:A


質問 # 33
You are asked to update and maintain your company's Einstein Analytics dashboards.
A request comes in for one of the dashboards that contains steps from different datasets. The request is to make it possible for a table from one dataset to be filtered by the results of a chart from another dataset. Your solution is to create a results binding.
Which three steps should you implement to create the binding?

  • A. Find source and target step names
  • B. Look up the API name of the filtering field
  • C. Configure the results binding on the target step in the dashboard JSON.
  • D. Look up the API name of the source field

正解:A、B、C


質問 # 34
Which of the following are requirements for enabling Analytics for Communities?

  • A. Wait at least 3 days after purchase.
  • B. Be nominated by your community peers.
  • C. Assign your community members the Analytics for Communities permission set license.
  • D. Have a Customer Community Plus or Partner Community license.
  • E. B and D

正解:E

解説:
Community member should have assigned:
- 'Analytics for Communities' permission set license - a permission set that includes the 'View Analytics on Communities pages' Only users with a Customer Community Plus or Partner Community license can use this feature. This feature is supported in communities but not in portals.


質問 # 35
Upper and lower limits on rows in discovery.

  • A. 3000 row minimum, 20,000,000 max
  • B. 00 row minimum, 20,000,000 max
  • C. 500 row minimum, 25,000,000 max
  • D. 1000 row minimum, 15,000,000 max

正解:B


質問 # 36
A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarch?

  • A. flatten transformation
  • B. delta transformation
  • C. digest transformation
  • D. sfdcDigest transformation

正解:A


質問 # 37
Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error page once the dashboard is opened.
How should the consultant solve this issue?

  • A. Open the Lightning page, remove the dashboard component, reinsert it, and save the page.
  • B. Clone the dashboard and replace the existing one on the Lightning page with the new one
  • C. Check the Analytics Studio app to see if user's access has been removed.

正解:C


質問 # 38
A story has been deployed to the Opportunity object with a prediction field, Predicted Amount.
How can all the Opportunity records be predictions written back to the Predicted Amount field?

  • A. Mass edit all the records by populating the Predicted Amount field.
  • B. Open all Opportunity records.
  • C. Enable a Bulk Scoring Job under the Prediction Definition.
  • D. Use the Prediction Service API to get the prediction and populate the Predicted Amount field.

正解:D


質問 # 39
The Einstein Analytics team at a company created a clataset based on the Opportunity__c custom object. The VP of Sales reports seeing the message "No results found" when opening the dataset to explore it. Other users below the VP in the role hierarchy can see rows on the same dataset. Which two problems might be causing this issue?

  • A. The Security Predicates set up at the dataset level are preventing the VP from seeing data
  • B. The Salesforce profile for the VP does not have read permission on the Opportunity__c custom object
  • C. The Salesforce profile for the VP does not have read permission on some fields of the Opportunity__c custom object
  • D. The dataset is inheriting sharing from Salesforce and the VP can see more than 3000 rows

正解:B、D


質問 # 40
An insurance company has many Einstein Analytics dashboards that show the influence of weather, such as atmospheric temperature, on customer cases. A service agent commented that it is sometimes difficult to determine, by looking at a dashboard, whether the temperature data is reported in degrees Fahrenheit or in degrees Celsius.
How can a dashboard designer ensure the temperature data is easier to interpret on the dashboards?

  • A. Add a text widget to the dashboard to indicate Fahrenheit or Celsius.
  • B. Use the XMD node in the dataflow to customize the number format of the field.
  • C. Customize the number format in the number widget properties of the dashboard.
  • D. In Explorer, go to the Fields menu and then customize the number format of the measure.

正解:A


質問 # 41
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