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Salesforce Tableau CRM Einstein Discovery Consultant (SU24) Questions and Answers

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Viewing questions 21-30 out of questions

Questions # 21:

Trending data limits: Maximum number of trended datasets per user and rows per snapshot:

Options:

5 per user, 200,000 per snapshot

10 per user, 100,000 per snapshot

10 per user, 200,000 per snapshot

5 per user, 100,000 per snapshot

Answer

Explanation

[Reference: Salesforce Analytics Data Trends Limits Documentation]

Questions # 22:

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

Options:

Which fonts to use for headers and body text

Which charts to use to best support the defined goal

Howmany charts should be allowed on a single dashboard

Which colors to use and how to use them

Answer

B, D

Explanation

[Reference: Salesforce Documentation on Dashboard Design]

Questions # 23:

An Einstein Analytics team reports that when they start their dataflow it runs successfully with no errors or warnings, but one of the fieldsdoes not return values when it is queried.

What can be the origin of this issue?

Options:

The field does not contain any data in Salesforce.

The user who runs the dataflow does not have access to the field.

The "Integration User Profile" does not have access to the field.

The ""Security User Profile" does not have access to the field.

Answer

Explanation

[Reference: Salesforce Documentation on Integration User Profile]

Questions # 24:

What are predictive insights good for?

Options:

Predicting outcomes that you don't actually have the right data for

Exploring your existing data to see what already happened

Drilling down into the underlying reasons behind a prediction

Choosing between all possible outcomes for a single variable

Answer

Explanation

Predictive insights are primarilybeneficial for:

C: Drilling down into the underlying reasons behind a prediction. This capability enables users to understand not just what might happen in the future but why those outcomes are likely, based on the data being analyzed. This understanding is crucial for strategic decision-making and for optimizing processes based on predictive analytics.

[Reference: https://help.salesforce.com/, ]

Questions # 25:

Yasmine wants to create a lens with the Seed Bank Orders dataset, but she currently doesn't see any rows in the dataset. Since Yasmine is Hadiqa's manager, Yasmine asks Hadiqa if she's experiencing thesame problem, but Hadiqa replies that she can see all the rows. Why is this happening?

Options:

The dataset's security predicate was set up incorrectly.

Yasmine doesn't have the Manager app role.

Yasmine wasn't assigned a permission set.

Yasmine doesn'thave the Create and Edit Analytics Dashboards permission.

Answer

Explanation

The scenario described where Yasmine cannot see any rows in the Seed Bank Orders dataset while Hadiqa can, likely indicates that the dataset's security predicate was set up to restrict data visibility based on user roles or attributes. Security predicates in Salesforce Tableau CRM are used to implement row-level security, ensuring that users only see data pertinent to their role or permissions within the organization. This security setupis crucial for maintaining data privacy and compliance. Reference: Salesforce Help - Row-Level Security

Questions # 26:

What are the two main parts of a lens/exploration?

Options:

Query

Visualization

Dataset

Measure

Grouping

Answer

B, E

Explanation

In the context of Tableau CRM (formerly Einstein Analytics), a lens/exploration is composed of two main parts: Visualization and Grouping. Visualization refers to how the data is presented visually, such as charts or tables. Grouping involves how data fields are categorized or segmented for analysis, allowing users to drill down into specifics or see summaries based on certain criteria.

[Reference: Salesforce Help Documentation, ]

Questions # 27:

What can you change ina Compare Table formula column?

Options:

The filters

The measure

The grouping

The formula and the name

Answer

Explanation

In a Compare Table within Tableau CRM, when you are working with formula columns, you can change both the formula itself and the name of thecolumn. This allows you to tailor the calculations and the labeling to better fit the analysis needs and to make the table more understandable for users.

[Reference: Salesforce Help Documentation, ]

Questions # 28:

What are two benefits of designing using the "Progressive Disclosure" principle? Choose 2 answers

Options:

improved ease of use for end users

Discounted EA licenses when growth is achieved

Automatic conditional formatting

Better dashboard performance

Answer

A, D

Explanation

Two benefits of designing using the "Progressive Disclosure" principle are:

A: Improved ease of use for end users. By only displaying essential information initially and allowing users to access more detailed data as needed, dashboards become less cluttered and more user-friendly.

D: Better dashboard performance. This design principle can also lead to better performance as less data isprocessed and rendered initially, speeding up load times and responsiveness.

[Reference:https://help.salesforce.com/, , https://developer.salesforce.com/blogs/developer-relations/2017/04/lightning-components-performance-best-practices.html, ]

Questions # 29:

In the list of insights,the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variationin the outcome variable.

When you select one variable, what are you comparing?

Options:

Selected variable with CLV

Selected variable average with the mean

Selected variable with a different variable

Selected variable average with the filtered average

Selected variable with all story data

Answer

Explanation

When you select one variable in an Einstein Discovery story and examine its insights, you are comparing the impact of that selected variable with all other data in the story. This involves analyzing how much the selected variable influences the outcome variable relative to other variables in the dataset. The process evaluates the contribution of the selected variable to the overall variance in the outcome, offering insights into its significance and relationship within the broader data context. Reference: Salesforce Einstein Discovery Story Insights

Questions # 30:

Which of these standard deviations is for a curve that has values that are the most spread out away from the average?

Options:

Answer

Explanation

In statistical terms, the standard deviation measures the amount of variation or dispersion in a set of values. A higher standard deviation indicates that the values are more spread out from the mean (average). Among the options provided, a standard deviation of 16 suggests the highest degree of spread away from the average compared to the other values.

[Reference: Basic statistical knowledge—no specific Salesforce reference needed as this pertains to general statistical concepts., ]

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