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

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Questions # 1:

A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarch?

Options:

digest transformation

flatten transformation

delta transformation

sfdcDigest transformation

Answer

Explanation

[Reference: Salesforce Documentation on Flatten Transformation]

Questions # 2:

Which isn't an option for setting a security predicate for a dataset created from an external data file?

Options:

In the metadata file associated with the external data file using the rowLevelSecurityFilter key

In the Register transformation node of a dataflow that uses this dataset

In the dataset Security Predicate

On each row prior to upload

Answer

Explanation

Setting security predicates for a dataset in Salesforce can be done in several ways, but not directly on each row before uploading. Security predicates are typically set in the metadata file associated with the external data file or in the transformation node of a dataflow. This is essential for managing data visibility at a granular level and ensuring compliance with organizational security policies.

[Reference: Salesforce Help Documentation, ]

Questions # 3:

Timeout for ETL jobs that have been scheduled but not executed

Options:

5 minutes

15 minutes

20 minutes

10 minutes

Answer

Explanation

In Salesforce Tableau CRM, thetimeout for ETL (Extract, Transform, Load) jobs that have been scheduled but not executed is 15 minutes. This timeout setting helps manage system resources efficiently by ensuring that jobs do not indefinitely occupy system capacity if they fail to initiate.

[Reference: Salesforce Help Documentation, ]

Questions # 4:

A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.

What solution should be recommended?

Options:

Create two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as

"viewer." Add the datasets as references to both custom apps.

Create three custom apps: one for marketing dashboards with marketing as "viewer," one for sales dashboards with sales as

"viewer," and one for datasets where marketing and sales are "viewer."

Create one custom app for the datasets and share it with marketing and sales as "viewer."

Duplicate the datasets and create two custom apps: one for marketing dashboardsand datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor."

Answer

Explanation

[Reference: Salesforce Documentation on Apps and Dashboards, , ]

Questions # 5:

How many external files can beuploaded to Einstein Analytics on rolling 24 hour basis?

Options:

100 files per dataset

300 files per dataset

500 files per dataset

50 files Per dataset

Answer

Explanation

In Einstein Analytics, the limit for uploading external files to a dataset on a rolling24-hour basis is 50 files. This limitation is designed to manage the data ingestion process effectively and ensure optimal performance of the analytics system.

[Reference: Salesforce Help Documentation, ]

Questions # 6:

What do you have to assign to users before they can access Analytics?

Options:

Analytics permission set license (PSL)

Permission set with at least one Analytics user permission

Username and password

A and B

B and C

Answer

Explanation

Before users can access Analytics in Salesforce, they need two things: an Analytics permission set license (PSL) and a permission set containing at least one Analytics user permission. The PSL enables access to the Analytics functionality at a license level, while the permission set defines what specific actions the user is authorized to perform within Analytics.

[Reference: Salesforce Help Documentation, ]

Questions # 7:

The Tableau CRM team at a company has created three dataflows.

myDataflowOne: this dataflowtasks 2 hours to run.

myDataflowOne: this dataflow tasks 1 hours and 30 minutes to run

myDataflowOne: this dataflow tasks 1 minute and 30 seconds to run.

If all three dataflows run, how many count towards the limit?

Options:

Answer

Explanation

[Reference: Salesforce Dataflow Documentation, ]

Questions # 8:

What's a good way to see which required questions in the configuration wizard don't have default values?

Options:

Answeronly questions that involve custom objects

Try each option in the dropdown one at a time

Download the app and run a SAQL query on the JSON

Click "Looks good, next" and look for questions highlighted in red

Answer

Explanation

In the configuration wizard ofTableau CRM apps, required fields or questions without default values are typically indicated by the system to guide the setup process. By proceeding with the configuration ("Looks good, next"), the wizard will highlight any mandatory questions that havenot been answered, usually by marking them in red. This visual cue allows users to easily identify and address the required inputs that are missing defaults, ensuring that essential configurations are not overlooked during setup.Reference: https://help.sa lesforce.com/s/articleView?id=sf.bi_apps_configure.htm&type=5

Questions # 9:

The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.

Which two actions should a consultant take? Choose 2 answers

Options:

Deploy the story, because the variation in the metrics iswithin the normal range.

Confirm that the overall GINI coefficient is good prior to deploying the story.

Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.

Do not deploy thestory immediately, and research why one fold is performing worse than the others.

Answer

B, D

Explanation

[Reference: Einstein Discovery Model Management]

Questions # 10:

A large company has a single dataset that contains the attainment and commission fields for all sales reps. Each sales rep should be able to view the attainment data for each rep in their division. Each rep should only be able to see their own commission data.

Which option should be used to enforce this requirement?

Options:

Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance.

Apply a security predicate on the existing single dataset.

Use sharing inheritance.

Add the sales organization to the attainment dataset access list.

Answer

Explanation

To meet the requirement where each sales rep can view attainment data for reps in their division but only see their own commission data, applying a security predicate on the existing single dataset is the most efficient and secure method. This approach allows granular control over data visibility based on user-specific criteria, directly aligning with the security and privacy needs specified.

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

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