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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Practice Q&A's

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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:

SectionWeightObjectives
Analytics Dashboard Design13%- Creating dashboards following CRM Analytics best practices and UX design principles
- Scoping, validating, and prioritizing dashboard design requirements
- Identifying appropriate use and configuration of standard CRM Analytics templated apps
Administration16%- SAQL query language for dashboard JSON and lens queries
- Managing CRM Analytics environment and configurations
- Embedding analytics in Salesforce
- Understanding recipes (Data Prep) for visual ETL interface
Security16%- Implementing security settings for users, groups, and profiles
- App sharing based on user and group requirements
- Dataset security settings using sharing inheritance and security predicates
Analytics Dashboard Implementation19%- Monitoring and optimizing query performance using Dashboard Inspector
- Implementing delivery management strategies using versioning and/or Dashboard Publisher
- Developing selection/result interactions with different query types
- Making dashboards actionable and accessible in Lightning pages
- Configuring dashboards using accurate query types and widget-level parameters
- Using advanced functionality such as windowing and time series analysis in compare tables
Einstein Discovery12%- Adjusting data parameters and adding/removing data or columns to improve models
- Analyzing model results and proposing data improvements
- Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics
- Building models by assessing data and selecting prediction types (numeric, binary, multi-classification)
- Monitoring and interpreting Model Cards to improve or maintain model performance
Data Layer24%- Dataflow configuration for multi-object scenarios
- Understanding denormalized sequential datasets
- Troubleshooting failed dataflow jobs
- Data transformation and loading into Einstein datasets
- Data extraction from sources
- Incremental sync configuration

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. Max story creations per org per day:

A) 20 per org per clay
B) 20 per org
C) 40 per org per clay
D) 40 per org


2. A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build.
Which two design considerations should be determined at this time? Choose 2 answers

A) How many charts should be allowed on a single dashboard
B) Which charts to use to best support the defined goal
C) Which colors to use and how to use them
D) Which fonts to use for headers and body text


3. Refer to the exhibit.

Universal Containers has a dashboard for Sales Managers to visualize the YoY Growth of their customers- The formula used is: YoY = [(This Year - Last Year) / Last Year] % Based on the graphic, when there is no account in the Last Year column, the YoY Growth shows null results. The Sales Managers want to replace it with 100% value.
What is the correct function to use?

A) replace()
B) number_to_string()
C) coalesce()
D) substr()


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


5. Exhibit:

A shipping company created a dataset. "Bookll," containing budget per region per month for the first six months of 2018. The dataset is shown in the graphic. Now, they want to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.
How can an Einstein Consultant help this company build this lens?

A) Use a SAQL query to create fake rows for any data that is missing data from the dataset.
B) Use a "Compare Table" and add a column leveraging the "Running Total" function.
C) Use a SAQL query leveraging the "fill" statement with a "partition" parameter.
D) Use a "Compare Table" and use the "Show summary" option.


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B,C
Question # 3
Answer: C
Question # 4
Answer: B,D
Question # 5
Answer: C

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