Free Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Dumps Questions & Answers

What are two main steps for creating a dataset?

• A.  Extract and prepare
• B.  Run and monitor
• C.  Build and explore
• D.  Plan and map

How do you analyze data from a CSV file using Einstein Discovery?

• A.  Import the CSV file into Einstein Discovery.
• B.  Import the CSV file into the most similar Salesforce object, then run reports on that object.
• C.  Import the CSV file into an Einstein Analytics dataset, then create a story.
• D.  You can't import data from a CSV file

The Vice President of Sales wants to create a "Pipeline Trending" dashboard in Einstein Analytics that displays specific colors depending on the values of the fields.
Which two techniques can a consultant use to help address this requirement? Choose 2 answers

• A.  Use an XMD file and assign colors to each field value.
• B.  Use the "fields" menu when exploring the dataset and assign colors to each field value.
• C.  Use SAQL queries to calculate a color field and assign it to each field value.
• D.  Use a compute Expression to calculate a color field and assign it to each field value.

A dataset is ready for analysis in Einstein Discovery.
What is the first step a consultant should take after the data is loaded?

• A.  Identify data types and define the appropriate data as numeric.
• B.  Load the data into Einstein Analytics
• C.  Analyze data columns and decide which, if any, to drop.
• D.  Produce a graph of the data to analyze.

An Einstein Analytics team wants to create a dashboard using two standard Salesforce objects. The dashboard should display data from the Case object, along with related data from the Account object. Which two processes can achieve this?

• A.  Extract data from the case and account objects using "dataloader", create a CSV file Q with account and case data, and then upload the CSV as a dataset to Einstein Analytics. Build a dashboard using that dataset
• B.  Extract data from the case and account objects using "sfdcDigest" transformation, y/ Q use "augment" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset
• C.  Extract data from the case and account objects using "sfdcDigest" transformation, Q use "append" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset
• D.  Extract data from the case and account objects using an ETL tool, use the ETL tool to y/ Q join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset