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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q107-Q112):

NEW QUESTION # 107
Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first
6 months of the year, as shown in the graphic below. Now, UC wants 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 should a CRM Analytics consultant help UC build this lens?

A. Use a "Compare Table" and use the "Show Totals" option.
B. Use a "Compare Table" and add a column leveraging the "Running Total" function.
C. Use a "fill" statement in SAQL query with a "partition" parameter.

Answer: B

NEW QUESTION # 108
A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with them. Ideally they would like to have key details highlighted about active cases and opportunities, opportunity value and product whitespace.
What can the consultant do to increase adoption?

A. Create a dashboard and embed onto the account record page
B. Create a dashboard and embed it onto the account record page with a filter based on the viewed account
C. Create datasets for account managers to explore
D. Create 4 analytics lenses and embed them onto the account record page

Answer: B

NEW QUESTION # 109
An Einstein Analytics team reports that when they start their dataflow it runs successfully with no errors or warnings, but one of the fields does not return values when it is queried.
What can be the origin of this issue?

A. The user who runs the dataflow does not have access to the field.
B. The ""Security User Profile" does not have access to the field.
C. The "Integration User Profile" does not have access to the field.
D. The field does not contain any data in Salesforce.

Answer: D

NEW QUESTION # 110
In an org, some of the Activity records do not have related Opportunity records. Additionally, there are Opportunity records that do not have related Activity records.
Which SAQL statement will fetch all Opportunities, even if they don't have associated Activities, and fetch related Activity data, if it exists?

A. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;
B. q = cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';
C. q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';
D. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';

Answer: B

Explanation:
https://developer.salesforce.com/docs/atlas.en-us.bi_dev_guide_saql.meta/bi_dev_guide_saql/bi_saql_statement_cogroup.htm

NEW QUESTION # 111
A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A. Apply the predict missing values transformation in recipe nodes.
B. Fill in the missing data with an average of all incomes.
C. Drop the field as it will be difficult to get future respondents.

Answer: A

Explanation:
In CRM Analytics, when dealing with incomplete data, specifically when certain respondents have not filled out fields like income, the Predict Missing Values transformation in a recipe is highly effective. This transformation allows you to predict values for missing fields based on patterns from the existing data. Since the consultant finds this field informative despite having data from only 1% of respondents, applying this transformation can estimate these missing values, which ensures that the dataset remains useful for predictive purposes without discarding important variables.
Reference: CRM Analytics Recipes and Predict Missing Values

NEW QUESTION # 112
......

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