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CRM Analytics and Einstein Discovery Consultant Exam Questions and Answers PDF | SPOTO

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Question #1
Einstein Discovery is a tool that:
A. Is like having a personal data scientist on staff
B. Replaces your team of BI experts and data analysts
C. Helps you hire the best data scientist for your business
D. Understands your business better than you do
View answer
Correct Answer: A
Question #2
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. Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance
B. Add the sales organization to the attainment dataset access list
C. Use sharing inheritance
D. Apply a security predicate on the existing single dataset
View answer
Correct Answer: A
Question #3
A company needs to ensure that data is synchronized with CRM Analytics daily without reaching dataflow limits. Which tool should you primarily use to manage data sync frequency?
A. Data Manager
B. Data Integration Rules
C. Custom API Integration
D. External Data Sync
View answer
Correct Answer: A
Question #4
What does Einstein Analytics check when a user submits a query against a dataset?
A. Whether the user has access to the app
B. Which fields the user has access to
C. If the user has access to the dataset
D. Which rows the user has access to
View answer
Correct Answer: D
Question #5
Which two statements can be determined based on the Why it Happened graphic above' Choose 2 answers
A. Germany performs lower than average but better when the product is Call Center
B. The -2
C. Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect
D. Germany sells more Call Center product and that helps them increase their win rate
View answer
Correct Answer: BD
Question #6
Max Analytics API calls per user per hour
A. 50,000
B. 10,000
C. 5,000
D. 100,000
View answer
Correct Answer: B
Question #7
A CRM Analytics consultant has been asked to bring data from an external database as well as five external Salesforce environments into CRM Analytics. Twenty-five objects have been enabled from the local Salesforce connector.The requirements are:* 10 objects should be enabled from an external database* 12 objects each from three of the external Salesforce environments* 15 objects each from the remaining two external Salesforce environmentsThe consultant estimates each connector will, per object, bring betwe
A. Total number of enabled objects
B. Salesforce external connector number of synced rows
C. Storage rows of data
View answer
Correct Answer: A
Question #8
Which set of statements generates monthly amount on a cumulative basis annually?
A. result = load “opportunity1”; result = group result by (‘CloseDate_Year’,’CloseDate_Month’); result = foreach result generate ‘CloseDate_Year’,’CloseDate_Month’, sum(sum(Amount)) over ([
B. result = load “opportunity1”; result = group result by (‘CloseDate_Year’,’CloseDate_Month’); result = foreach result generate ‘CloseDate_Year’,’CloseDate_Month’, sum(sum(Amount)) over ([
C. result = load “opportunity1”; result = group result by (‘CloseDate_Year’,’CloseDate_Month’); result = foreach result generate ‘CloseDate_Year’,’CloseDate_Month’, sum(sum(Amount)) over ([
D. result = load “opportunity1”; result = group result by (‘CloseDate_Year ~ ~ ~ CloseDate_Month’); result = foreach result generate ‘CloseDate_Year’,’CloseDate_Month’, sum(sum(Amount)) over ([
View answer
Correct Answer: D
Question #9
Before using bindings, you can try using facets to specify interactions between widgets.
A. False
B. True
View answer
Correct Answer: B
Question #10
In a story investigating margin, large variations between product groups are dominating the story. Which action might an Einstein Consultant take to resolve this?
A. Add more data to the dataset
B. Normalize the margin by product group
C. Eliminate extreme values in the dataset
D. Run separate stories for each region
View answer
Correct Answer: C

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