Salesforce EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT Online Practice Questions and Exam Preparation

Salesforce EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT Online Questions & Answers

• Question 161:

  A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.

  A set of JSON files will be generated after a template is created from the Sales Operations app. What is the name of the JSON file that manages template metadata and all other template elements'

  A. ui.json
  B. template-to-app-rules.json
  C. aster- info.j son
  D. template-info.json
  D. template-info.json

• Question 162:

  A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.

  Which two actions must be performed when writing the SAQL query?

  Choose 2 answers

  A. Determine if the timeseries required parameter, prediction interval, should be 80 or 95.
  B. Investigate which prediction model is best for the data available.
  C. Validate that there is enough data in the dataset to make a good prediction.
  D. Include the fill SAQL statement to fill any missing dates.
  B. Investigate which prediction model is best for the data available.
  D. Include the fill SAQL statement to fill any missing dates.

• Question 163:

  An Einstein Consultant needs to add some data values to an existing dataflow: a text field, a number (via a case statement), and a date (via SAQL). In order to achieve this, which compute option should be used?

  A. computeExpression
  B. computeData
  C. computeValue
  D. computeField
  A. computeExpression

• Question 164:

  Which security option is not available in Einstein Analytics for securing datasets?

  A. Inherited security
  B. Row-level security with security predicates
  C. Field-level security
  D. App level security
  C. Field-level security

• Question 165:

  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. You can't import data from a CSV file
  D. Import the CSV file into an Einstein Analytics dataset, then create a story.
  D. Import the CSV file into an Einstein Analytics dataset, then create a story.

• Question 166:

  A customer displays a lot of data and wants a way to dynamically emphasize certain values on a bar chart in order to properly grab the user's attention. What can an Einstein Consultant use to accomplish this task?

  A. Customize tooltip
  B. Chart Markers
  C. XMD
  D. Compare Table
  C. XMD

• Question 167:

  In Einstein Analytics, which node is used in a dataflow to extract data from a registered dataset?

  A. sfdcDigest
  B. digest
  C. export
  D. edgemart
  D. edgemart

• Question 168:

  You can configure access to data at all of the following levels, except:

  A. Organization
  B. Records
  C. Page Layouts
  D. Objects
  C. Page Layouts

• Question 169:

  Why is it important to select the right root object when you use the dataset builder?

  A. The root object determines who can see the dataset.
  B. Only data from the root object can be included in the dataset.
  C. The root object determines what related objects you can add to the dataset.
  D. The root object determines what app the dataset is saved in.
  C. The root object determines what related objects you can add to the dataset.

• Question 170:

  A client has a dataset comprised of Opportunity data and Opportunity Line level data. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate. What must be done to the dataset to achieve this goal?

  A. Select the isWon = True outcome variable and generate the story.
  B. Filter to only look at isWon = True records to avoid skewing the results.
  C. Click Create Story and Einstein will take care of the rest.
  D. Change the grain by removing the line level detail as it will skew the win rate.
  C. Click Create Story and Einstein will take care of the rest.