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

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

• Question 91:

  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.
  B. Distribute steps among separate pages.
  D. Replace separate step filters with a global filter.
  E. Move calculations to a dataflow.

• Question 92:

  The Einstein Analytics Plus Platform license is enabled for a Salesforce org and assigned to each user. However, these users cannot see the Einstein Analytics Studio in the App Launcher. How can this issue be addressed?

  A. Share the app with the users in Einstein Analytics.
  B. Create user accounts for the users in Einstein Analytics.
  C. Assign the users to the permission set containing Use Analytics.
  D. Assign the users to the permission set containing Manage Analytics.
  C. Assign the users to the permission set containing Use Analytics.

• Question 93:

  A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.

  What is the recommended next step to improve the story outcome?

  A. Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
  B. Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
  C. Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
  D. Ask the credit card company for a more comprehensive dataset to analyze.
  C. Explain to the company that the story has returned unbiased results and the initial assessment is accurate.

• Question 94:

  What do Analytics apps do?

  A. Let you add new types of charts to Salesforce
  B. Alert you when you need a visa for an upcoming trip
  C. Use ready-made dashboards to tell easy-to-follow stories about your data
  D. Let you create configuration wizards to make Analytics setup easier
  C. Use ready-made dashboards to tell easy-to-follow stories about your data

• Question 95:

  Refer to the graphic.

  

  Which conclusion can be made regarding the strength of the model shown?

  A. The model is very strong. A GINI coefficient of .535 shows that this model is very effective.
  B. The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.
  C. The strength of the model cannot be determined with the metrics shown.
  D. The model is very weak and doesn't provide useful predictions due to the low threshold.
  D. The model is very weak and doesn't provide useful predictions due to the low threshold.

• Question 96:

  A company used Einstein Analytics to create two datasets:

  1.

  "Opportunity With Account- dataset, which contains data from the Opportunity standard object augmented by the Account data.

  2.

  "Case with Account" dataset. which contains data from the Case standard object augmented by the Account data.

  The company wants to build a lens showing the total number of Opportunities and Cases per Account. How can a consultant help them build this lens'

  A. Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated by Account, and use the generated dataset in a lens.
  B. Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.
  C. Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.
  D. Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.
  D. Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.

• Question 97:

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

  A. 8
  B. 1
  C. 4
  D. 16
  D. 16

• Question 98:

  Which three things can be done with the Einstein Analytics Dashboard Inspector? Choose 3 answers

  A. Automatically remove bottlenecks to make queries run faster.
  B. Get a list of recommendations on how to improve the performance of the dashboard.
  C. View all queries and the time it took to run each one.
  D. View the total time required to run all queries.
  E. See the final query for each step along with query results.
  B. Get a list of recommendations on how to improve the performance of the dashboard.
  C. View all queries and the time it took to run each one.
  E. See the final query for each step along with query results.

• Question 99:

  The client is trying to create a SAQL step to predict sales in each sales region. They cannot get the query to return any results, but have identified that the error is in the time series statement. They have asked an Einstein Consultant to review the following query and fix any errors.

  

  Which timeseries statement will fix the query?

  A. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);
  B. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');
  C. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);
  D. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region');
  B. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');

• Question 100:

  A Senior Sales Business Analyst asks for a dashboard that contains fiscal year product opportunities. Information is maintained in a spreadsheet which is comprehensive, but its contents often need to be explained. After sketching the dashboard, the consultant is ready to start building.

  Which concept should be applied to this dashboard?

  A. Limit widget actions and exploration so users will focus only on the high-level information.
  B. Use the different chart types to make the dashboard interesting and appealing.
  C. Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.
  D. Use charts to help users ask questions, not illustrate a conclusion.
  D. Use charts to help users ask questions, not illustrate a conclusion.