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CRM-Analytics-and-Einstein-Discovery-Consultant Relevant Exam Dumps, Reliable CRM-Analytics-and-Einstein-Discovery-Consultant Study Plan

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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:

Topic
Details

Topic 1

Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It's all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.

Topic 2

Analytics Dashboard Implementation: Here, consultants embark on a creative exploration of dashboard configuration, optimization of query performance using Dashboard Inspector, and using advanced functionality such as windowing.

Topic 3

Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.

Topic 4

Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.

Topic 5

Admin
Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync
dataflows
recipe limits.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q15-Q20):

NEW QUESTION # 15
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.

Given that the steps are using different datasets. which two changes can an Einstein Consultant make to solve this issue' Choose 2 answers

A. Use selection binding in the filters section of the step "Type_l."
B. Use "Connect Data Sources" and create a connection to connect the two widgets.
C. Use selection binding in the filters section of Che step "Step_pie_2."
D. Use 'Connect Data Sources" and create a connection to connect the two datasets.

Answer: C,D

NEW QUESTION # 16
A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the "CloseDate_Month" field, the list filter shows numbers instead of names.
How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?

A. flatten
B. append
C. compute Relative
D. compute Expression

Answer: D

NEW QUESTION # 17
Universal Containers has a single dataset that contains the attainment and commission fields for all sales reps.
Each sales rep should be able view the attainment data for each rep in their division. Each repshould only be able to see their own commission data.
Which option should a CRM Analytics consultant use to enforce this requirement?

A. Add the sales organization to the attainment dataset access list to be able to view commission data.
B. Utilize a single dataset and apply security predicates and/or sharing inheritance.
C. Create separate datasets for attainment and commission, and apply security Predicates and/or sharing inheritance.

Answer: C

NEW QUESTION # 18
Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to next steps?

A. Rerun and update the story with a different algorithm.
B. Proceed with deployment if the model quality metric values ire sufficient.
C. Identify additional data that may have a stronger relationship with the outcome variable.
D. Edit the model accuracy settings and rerun the story.

Answer: B,C

NEW QUESTION # 19
A new field called "CardBalance" is added to the standard object. Account. The team wants to add this new field to an Einstein Analytics dataset that sources the Account object; however, the team needs to limit the users who are able to view that field's data in the dataset.
How can an Einstein Consultant help them implement this new requirement?

A. Add the new field to the existing dataset and activate "Sharing inheritance" in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.
B. Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.
C. Add the new field to the existing dataset and use "Security Predicates' to hide it from users who should not access it.
D. Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.

Answer: B

NEW QUESTION # 20
......

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