Tableau-CRM-and-Einstein-Discovery-Consultant Salesforce Tableau CRM Einstein Discovery Consultant (SU24) exact Exam Questions

Salesforce Tableau CRM Einstein Discovery Consultant (SU24)

Last Update 4 hours ago Total Questions : 239

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Question # 61

What is a keyword in SAQL? And what case must it be in?

A keyword is basically just a function in SAQL, like group, foreach, etc. And it has to be lowercase.

Question # 62

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

Question # 63

What does Einstein Analytics check when a user submits a query against a dataset?

Whether the user has access to the app

Which fields the user has access to

If the user has access to the dataset

Which rows the user has access to

Question # 64

A consultant built a very useful Einstein Analytics app for Sales Operations and they want to share its contents with the rest of Global Sales. However, they do not want to add everyone in Sales to their app. The consultant recommends extending the Sales Operations app and distributing it as an Einstein Analytics template app, but needs to locate specific information to get started.

What is the REST API URL where the consultant can find current template apps?

/services/data/v##.#/wave/apps

/services/data/v##.#/analytics/wizard

/services/data/v##.#/wave/templates

/services/data/v##.#/analytics/projects

Question # 65

What's the best way to describe the template-info.json file?

It's a read-only file with all the user documentation for a template.

It's the boss of the template with all the information needed to create the app.

It makes sure that the app includes all the right Salesforce data.

It's automatically populated every time you create an app from the template.

Question # 66

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores and sees this chart. The visualized tooltip belongs to the blue bar for San Francisco, reflecting, November daily sales quantities in that city specifically.

What two conclusions can be drawn from this insight?

The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.

November sales are higher than in other months. This November-effect is the strongest in San Francisco.

The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.

The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country

Question # 67

The Universal Containers company uses a Microsoft Azure SQL Data Warehouse to gather information about sales representatives' objectives. They want to use Einstein Analytics to gain insights from this data; therefore, they need to automatically load the warehouse's data into an Einstein Analytics dataset on a daily basis. The data also needs to be transformed and merged with data from the company's org.

Which three Einstein Analytics user interface features can be used to complete these requirements? Choose 3 answers

Dataflow

Microsoft Azure SQL Data Warehouse Connector

Einstein Analytics Connector for Excel

Recipes

Analytics REST API

Answer:

A, D, E

Explanation:

To automate the loading of data from a Microsoft Azure SQL Data Warehouse into an Einstein Analytics dataset, transform it, and merge it with company data daily, the following Einstein Analytics user interface features can be used:

A: Dataflow: This tool allows for the creation and management of complex data transformation and integration processes necessary for combining data sources.

D: Recipes: Recipes provide a user-friendly interface for performing data transformation tasks without writing code, which can be used for merging and transforming data.

E: Analytics REST API: The API can automate data ingestion and management tasks, providing flexibility and control over data integration from external systems.

[Reference: https://developer.salesforce.com/, , QUESTIONNO: 71, A dashboard dataset is growing and the Einstein Analytics consultant notices an impact on performance. The consultant needs to make a few adjustments., Which three actions can the consultant take to improve dashboard performance? Choose 3 answers, A.Reorganize the dashboard widgets., B. Distribute steps among separate pages., C. Use SAQL code to join datasets at runtime., D. Replace separate step filters with a global filter., E. Move calculations to a dataflow., Answer: BDE, , To improve dashboard performance in the face of growing datasets, the Einstein Analytics consultant can take the following actions:, B: Distribute steps among separate pages: This reduces the load on any single page, enhancing performance by only loading data necessary for the view being accessed., D: Replace separate step filters with a global filter: This reduces the number of queries and processing needed as the global filter applies universally, streamlining data handling., E: Move calculations to a dataflow: Offloading calculationsto a dataflow minimizes the processing required at runtime, which can significantly improve dashboard performance., These actions optimize the performance of Einstein Analytics dashboards by efficiently managing how data is processed and displayed.Reference: https://help.salesforce.com/, ]

Question # 68

How do you post to Chatter from a Sales Wave dashboard?

Open the Actions menu for an opportunity or account and select Post

Select Post to Chatter from the Actions drop-down at the top of the dashboard

Right click any bar and type your message

Send an email to a team member with "chatter:" in the subject line