Free Practice Questions for Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant Exam

Einstein Discovery presents insights based on their importance in explaining the variation in the outcome variable, in descending order. This approach prioritizes insights that have the most significant impact on the outcome, helping users to focus on the most influential factors first. By sorting insights in this manner, Einstein Discovery ensures that users can quickly identify and address the key drivers of their business metrics, facilitating more effective decision-making based on the most critical data points.Reference: https://help.salesforce.com/s/articleView?id=sf.bi_edd_story_overview.htm &type=5

To load data from an external, on-premise Oracle database into Einstein Analytics, the recommended optionsare:

Use the Analytics External Data API: This API facilitates the integration of external data sources with Einstein Analytics, allowing for automated data uploads.

Load the data as a CSV file: This method involves extracting data from the Oracle database into a CSV format and then uploading it to Einstein Analytics.

Outliers in a dataset can significantly impact the results of a machine learning model, including those built by Einstein Discovery.expand_more Here's why changing binning methods is often the best approach:

Outliers and Machine Learning: Outliers are extreme values that fall far outside the typical range of data.expand_more They can distort statistical summaries and skew the model's understanding of relationships within the data.

Binning: Binning is the process of dividing continuous numerical data into discrete groups or bins.expand_more In Einstein Discovery, binning affects how data is visualized and analyzed.

Fixed-width Binning: With fixed-width binning, you define equal-sized intervals for grouping data points. This can help mitigate the impact of outliers by spreading their influence across a wider range, reducing their effect on individual bins and the overall model.

Why other options are less ideal:

A. Remove the outlier rows: While removing outliers can be effective, it risks discarding potentially valuable information. It's best used only when outliers are definitively incorrect.

B. Nothing, because the field is not the outcome variable: Even predictor variables (inputs) with outliers can negatively impact the model. Outliers distort relationships the model is trying to learn.expand_more

D. Remove the field because it has bad data: This is too drastic unless the whole field is unreliable. Binning adjustments are often enough to address outlier issues.

To address the need for department-specific dashboard access while utilizingcommon datasets with the same row-level security, the best approach is to:

C: Create one application for each department, put common datasets in the shared app, and use roles to share applications. This setup ensures that each department has its own tailored application containing relevant dashboards while still accessing shared datasets from a central application. The use of roles facilitates controlled access based on user roles within the organization.

In Salesforce Analytics Query Language (SAQL), the order of functions plays a crucial role in how data is processed. The 'filter'and 'order' functions can be used interchangeably depending on the specific needs of the query. However, 'offset' should always follow either 'filter' or 'order', and 'limit' must be specified after 'offset'. This order ensures that the query first narrowsdown the data set, then offsets into this subset, and finally limits the number of records returned.

In Salesforce Tableau CRM (Einstein Analytics), the visibility of data in a dataset like the Seed Bank Orders is controlled by the app manager within the context of the app to which the dataset hasbeen added. Therefore, a project team member with the Viewer role in the Mosaic Seed Bank project team can see only the rows in the dataset that are designated by the App Manager. This access is configured to ensure data security and relevancy based on user roles and permissions. Reference: Salesforce Help - Dataset Security

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The issue of the VP of Sales seeing "No results found" while others can view data in the dataset suggests a problem with access permissions. Two likely causes are: A) The VP’s Salesforce profile may lack read permissions on some crucial fields ofthe Opportunity__c custom object, which could prevent viewing data where those fields are essential. B) Security predicates at the dataset level might be set up in a way that restricts data visibility for the VP, perhaps due to specific conditions that exclude higher hierarchy levels.

In Salesforce, access to data can be configured at several levels, including Organization, Records, and Objects. However, Page Layouts is not a level at which access to data is configured. Page Layoutsdetermine the arrangement of fields, related lists, and other elements on a record's page but do not control data access or security settings. Access controls are managed through settings at other specified levels such as profiles, roles, and sharing rules. Reference: Salesforce Help - Data Security

To enable Analytics for Communities in Tableau CRM, you need specific prerequisites:

License Requirements: A Customer Community Plus or Partner Community license is necessary, enabling moreextensive CRM functionalities for community members.

Permission Set License: Community members must be assigned the Analytics for Communities permission set license. This setup ensures that community users have the appropriate access to use and benefit from Analytics features within their community environments.