最新なSalesforce Tableau-CRM-Einstein-Discovery-Consultant問題集（244題）、真実試験の問題を全部にカバー！

質問 1：
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 dataset is inheriting sharing from Salesforce and the VP can see more than 3000 rows
B. The Security Predicates set up at the dataset level are preventing the VP from seeing data
C. The Salesforce profile for the VP does not have read permission on the Opportunity__c custom object
D. The Salesforce profile for the VP does not have read permission on some fields of the Opportunity__c custom object
正解：A,C

質問 2：
Why would you use a merge key in a dataset recipe?
A. To schedule when a dataset recipe runs
B. To join related data from different sources
C. To deal with duplicate records
D. To find out what the merge icons represent in a dataset
正解：B

質問 3：
The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they can calculate the Sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales representative, the target amount, and the month of the target. For each sales representative, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?
A. Update
B. Upsert
C. Overwrite
D. Append
正解：C

質問 4：
A Tableau CRM consultant develops a dashboard called
SalesPerformance_l in a sardbox environment. To deploy the recipe the consultant creates a package in workbench What is the correct meta data reference in the xml file?
A. SalesPefformance_1
B. SalesPerformance_1 waveDashboard
C. SalesPerformance_1 EADashboard
D. SalesPerformance_1 EdgeOashboard
正解：B

質問 5：
In what order does Einstein Discovery present the insights that it uncovers?
A. Insights that explain the most variation in the outcome variable, in ascending order
B. Alphabetical, in ascending order
C. Alphabetical, in descending order
D. B and D
E. Insights that explain the most variation in the outcome variable, in descending order
正解：E

質問 6：
What does a configuration wizard do?
A. Asks you questions about how you store data in your org to help you create your app
B. Customizes your template based on Salesforce settings
C. Automatically creates multiple versions of the same app
D. Lets you know the best way to set up your Salesforce data
正解：A
解説: (Pass4Test メンバーにのみ表示されます)

質問 7：
Which three things can be done with the Einstein Analytics Dashboard Inspector? Choose 3 answers
A. View the total time required to run all queries.
B. Automatically remove bottlenecks to make queries run faster.
C. See the final query for each step along with query results.
D. Get a list of recommendations on how to improve the performance of the dashboard.
E. View all queries and the time it took to run each one.
正解：C,D,E

質問 8：
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 an external ETL tool to extract both datasets and delete records.
B. Use a combination of dataflow transformations: "augment" and "filter."
C. Use the dataflow transformation "delete" and set "userlD" as the deletion ID.
正解：B
解説: (Pass4Test メンバーにのみ表示されます)