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

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

• Question 81:

  How many stories can you create in Analytics Plus?

  A. 5,000
  B. 1,000, but more can be purchased
  C. 75, but more can be purchased
  D. 500, but more can be purchased
  D. 500, but more can be purchased

• Question 82:

  In Einstein Discovery:

  A. 'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.
  B. 'Why It Happened' insights help you take a deeper look into the exact factors that led to an outcome. Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story's goal. These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.
  C. 'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform "what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses:
  D. - waterfall charts for predictions -bar charts for suggested improvements
  E. 'What Happened' insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.
  A. 'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.
  C. 'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform "what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses:
  D. - waterfall charts for predictions -bar charts for suggested improvements

• Question 83:

  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.

  

  Given that the steps are using different datasets. which two changes can an Einstein Consultant make to solve this issue' Choose 2 answers

  A. Use 'Connect Data Sources" and create a connection to connect the two datasets.
  B. Use selection binding in the filters section of Che step "Step_pie_2."
  C. Use "Connect Data Sources" and create a connection to connect the two widgets.
  D. Use selection binding in the filters section of the step "Type_l."
  A. Use 'Connect Data Sources" and create a connection to connect the two datasets.
  B. Use selection binding in the filters section of Che step "Step_pie_2."

• Question 84:

  Number of queries per user per day

  A. 10,000
  B. 50,000
  C. 1,000
  D. 20,000
  A. 10,000

• Question 85:

  when organizing information in an Einstein Analytics dashboard, what does the "Progressive Disclosure' design principle mean'

  A. Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.
  B. Utilize the latest templates for the most modern look and feel.
  C. Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.
  D. Implement strict security predicates to minimize the amount of information displayed to users.
  A. Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.

• Question 86:

  An Einstein Consultant is implementing encryption for a customer.

  Which two statements about Einstein Analytics Encryption are true? Choose 2 answers

  A. When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.
  B. By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.
  C. The customer's org must have a Shield Platform Encryption tenant secret.
  D. Bring Your Own Key is not supported.
  A. When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.
  C. The customer's org must have a Shield Platform Encryption tenant secret.

• Question 87:

  A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the "CloseDate_Month" field, the list filter shows numbers instead of names. How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?

  A. flatten
  B. compute Relative
  C. compute Expression
  D. append
  C. compute Expression

• Question 88:

  Default rows in values table

  A. 100
  B. 200
  C. 50
  D. 75
  A. 100

• Question 89:

  Permissions of which 2 internal users are used by Analytics to gain access to Salesforce data?

  A. Each user has a corresponding Profile assigned (Analytics Cloud Integration User and Analytics Cloud Security User profiles).
  B. When you query a dataset that has row-level security based on the User object, Analytics uses the permissions of the Security User to access the User object and its fields.
  C. Analytics uses the permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow job runs.
  A. Each user has a corresponding Profile assigned (Analytics Cloud Integration User and Analytics Cloud Security User profiles).
  B. When you query a dataset that has row-level security based on the User object, Analytics uses the permissions of the Security User to access the User object and its fields.
  C. Analytics uses the permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow job runs.

• Question 90:

  In the list of insights, the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variation in the outcome variable.

  When you select one variable, what are you comparing?

  A. Selected variable with CLV
  B. Selected variable average with the mean
  C. Selected variable with a different variable
  D. Selected variable average with the filtered average
  E. Selected variable with all story data
  E. Selected variable with all story data