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

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

• Question 71:

  Default # rows in compare table.

  A. 1500
  B. 1000
  C. 3000
  D. 2000
  D. 2000

• Question 72:

  Which chart type is suitable for rendering five measures in a lens visualization?

  A. Treemap chart
  B. Scatter chart
  C. Metric Radar chart
  D. Stacked Bar chart
  D. Stacked Bar chart

• Question 73:

  What does XMD stand for?

  A. Configuring unsupported fields
  B. Lenses Dataset Fields
  C. Extended Metadata
  D. Create a JSON
  C. Extended Metadata

• Question 74:

  In the Insights list, insights are ranked in what order?

  A. Time
  B. Geospatial
  C. Statistical significance
  D. Alphabetical
  E. There is no order
  C. Statistical significance

• Question 75:

  Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.

  

  Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers

  A. Use selection binding in the filters section of the step "Step_pie_1."
  B. Enable the option "Apply filters from faceting" in the step "Region_1."
  C. Enable the option "Apply filters from faceting" in the step "Step_pie_1."
  D. Use selection binding in the filters section of the step "Region_1."
  A. Use selection binding in the filters section of the step "Step_pie_1."
  C. Enable the option "Apply filters from faceting" in the step "Step_pie_1."

• Question 76:

  Using the Setup menu, the Universal Containers company activated data sync (replication) in the Einstein Analytics settings. After running the sync, they notice that the aggregate sum of a field within their dataset is different than what they manually calculated by summing the same data in the Salesforce object from which the dataset was populated.

  Which two differences in the newly synced data can explain this? Choose 2 answers

  A. Differences involving permanently deleted records
  B. Differences involving workflow-updated fields
  C. Differences involving formula fields
  D. Differences involving trigger-updated fields
  A. Differences involving permanently deleted records
  C. Differences involving formula fields

• Question 77:

  Which of the following are requirements for enabling Analytics for Communities?

  A. Wait at least 3 days after purchase.
  B. Have a Customer Community Plus or Partner Community license.
  C. Be nominated by your community peers.
  D. Assign your community members the Analytics for Communities permission set license.
  E. B and D
  E. B and D

• Question 78:

  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.

  What can the consultant do to give the Sales team more choices and options with future apps that are generated from the Sales Operations app'

  A. Update contents in the Sales Operations app and changes will be pushed down to its generated apps.
  B. Ensure the Sales team has the necessary permissions to customize their apps.
  C. Create a configuration wizard for the app.
  D. Update contents in the Sales Operations app and create new template versions of the app.
  C. Create a configuration wizard for the app.

• Question 79:

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

  A. Open the Actions menu for an opportunity or account and select Post
  B. Select Post to Chatter from the Actions drop-down at the top of the dashboard
  C. Right click any bar and type your message
  D. Send an email to a team member with "chatter:" in the subject line
  A. Open the Actions menu for an opportunity or account and select Post

• Question 80:

  Why is it important to prepare the data in a CSV file before you bring it into Analytics?

  A. To remove column headers
  B. To make sure the content is interesting
  C. To add currency symbols to numeric fields
  D. To make sure Analytics can set the field type correctly
  D. To make sure Analytics can set the field type correctly