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Einstein Analytics & Discovery-Consultant Exam Reference
NEW QUESTION 26
After loading data to Einstein Discovery and creating a story, the client asks the Einstein Consultant to explain the "Unexplained Bar" in the "Why it Happened" chart.
Which explanation is correct?
- A. It displays the difference between the analyzed data and the data not reviewed.
- B. It only appears for outcomes that do not have an explanation.
- C. It shows the difference between the predicted outcome and the observed outcome.
- D. It should always be 0 or the model should not be used.
Answer: A
NEW QUESTION 27
Why would you use the Actions menu in a chart?
- A. To rearrange widgets in dashboards
- B. To post to Chatter
- C. To create workout plan for you and your team
- D. To expand the time period shown in a dashboard
Answer: B
NEW QUESTION 28
Universal Containers has a dashboard for Sales Managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. An Einstein Consultant created a static step to display three values: ClosedDate_month, ClosedDate_quarter, and ClosedDate_year.
What should the consultant do next?
- A. Use selection binding to update the measure in the chart.
- B. Use nested binding to update the grouping in the chart.
- C. Use selection binding to update the grouping in the chart.
- D. Use result binding to update the measure in the chart.
Answer: C
NEW QUESTION 29
when organizing information in an Einstein Analytics dashboard, what does the "Progressive Disclosure' design principle mean'
- A. Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.
- B. Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.
- C. Utilize the latest templates for the most modern look and feel.
- D. Implement strict security predicates to minimize the amount of information displayed to users.
Answer: B
NEW QUESTION 30
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. Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the
"Accountld" and thenaggregate by Account. - B. Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.
- C. Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.
- D. Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated byAccount, and use the generated dataset in a lens.
Answer: B
NEW QUESTION 31
An Einstein consultant created a dashboard that went through review. Some few charts were added and removed in the process. The dashboard is now approved for production.
Which best practice should be done before releasing the dashboard?
- A. Apply conditional formatting on the new charts.
- B. Rename all the steps to correspond with the defined naming convention.
- C. Modify the XMD so all labels and values are user-friendly.
- D. Remove the redundant steps to ensure dashboard performance.
Answer: D
Explanation:
Explanation
https://help.salesforce.com/articleView?id=bi_dashboards_inspector.htm&type=5
NEW QUESTION 32
What kind of insight is "What Is The Difference"?
- A. Predictive
- B. Descriptive
- C. Prescriptive
- D. Selective
- E. Diagnostic
Answer: E
Explanation:
Explanation
https://trailhead.salesforce.com/content/learn/modules/understand_einstein_discovery_stories/understand-what-is
NEW QUESTION 33
An Einstein Consultant receives a request from the Marketing department to help them understand lead conversion. Presently, they are unaware of the percentage of leads that get converted to sales. They hope to view results by account manager, value, and quarter. The data is there, so the consultant can add it to the marketing dashboard.
How should this metric be calculated?
- A. Create a new step in the dashboard using a compare table and the running total function.
- B. Create a formula field on the lead object in Salesforce and add it to the dataset.
- C. Create a new step in the dashboard using a compare table and define a formula.
- D. Create a computeExpression in the dataflow.
Answer: A
NEW QUESTION 34
Maximum concurrent API Analytics calls per org
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
NEW QUESTION 35
As part of their analysis, Yasmine, Tonya, and Hadiqa need to create and save lenses to their project app. What is the minimum app role they need to do this?
- A. Manager
- B. Editor
- C. Viewer
- D. Designer
Answer: B
Explanation:
Explanation
Save changes to existing dashboards, lenses, and datasets in the app (saving dashboards requires the appropriate permission set license and permission) available in Editor and Manager*##**##*
NEW QUESTION 36
An Einstein Analytics team wants to create a dashboard that displays values from an external, on-premise Oracle database.
What are two options to load the data from the Oracle database into Einstein Analytics? Choose 2 answers
- A. Use the Analytics External Data API.
- B. Use the Salesforce SOAP interface.
- C. Load the data as a CSV file.
- D. Use Oracle database connector.
Answer: B
NEW QUESTION 37
Which of the following are included in the template object?
- A. A,C
- B. variables.json
- C. app.json
- D. ui.json
- E. A,B and C
Answer: A
Explanation:
Explanation
* template-info.json manages all elements of your template, including metadata information about the template, the Analytics objects that define dashboards and lenses, and the other files that are part of the template.* ui.json manages the configuration wizard that drives app creation. It defines the number of wizard pages, the order of wizard questions, and any messages you want the user to see.* variables.json contains all template variables, including text for wizard questions and specifications for the answers. Variables also define conditional questions. For example, you may want some questions to appear in the wizard only if an org contains certain data. Or you might want to add more specific questions based on the answers to more general wizard questions.* template-to-app-rules.json defines the rules the template follows. For example, you could define a rule that specifies that if an org doesn't use certain Salesforce objects, the app won't refer to them in dashboards or include them in the dataflow. Rules also define how variables are handled. For example, if the wizard asks which fields to include in filters for accounts, template-to-app-rules.json determines how that choice is reflected in dashboards.
NEW QUESTION 38
What's the magic of faceting?
- A. It binds charts together so that selecting something in one chart filters other charts by that choice.
- B. It shifts the time period of the chart you're viewing.
- C. It turns the dataflow on and off.
- D. It creates a chart that shows all the faces of your data in a diamond chart.
Answer: A
NEW QUESTION 39
A consultant built a very useful Einstein Analytics app for Sales Operations and they want to share its contents with the rest of Global Sales. However, they do not want to add everyone in Sales to their app. The consultant recommends extending the Sales Operations app and distributing it as an Einstein Analytics template app, but needs to locate specific information to get started.
What is the REST API URL where the consultant can find current template apps?
- A. /services/data/v##.#/analytics/projects
- B. /services/data/v##.#/analytics/wizard
- C. /services/data/v##.#/wave/templates
- D. /services/data/v##.#/wave/apps
Answer: B
NEW QUESTION 40
The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.
Which two actions should a consultant take? Choose 2 answers
- A. Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.
- B. Do not deploy the story immediately, and research why one fold is performing worse than the others.
- C. Confirm that the overall GINI coefficient is good prior to deploying the story.
- D. Deploy the story, because the variation in the metrics is within the normal range.
Answer: B,C
NEW QUESTION 41 
Which two statements can be determined based on the Why it Happened graphic above' Choose 2 answers
- A. Germany sells more Call Center product and that helps them increase their win rate.
- B. The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.
- C. Germany performs lower than average but better when the product is Call Center.
- D. Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.
Answer: A,B
NEW QUESTION 42
Concurrent queries per user?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION 43 
A shipping company created a dataset. "Bookll," containing budget per region per month for the first six months of 2018. The dataset is shown in the graphic. Now, they want to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.
How can an Einstein Consultant help this company build this lens?
- A. Use a "Compare Table" and add a column leveraging the "Running Total" function.
- B. Use a "Compare Table" and use the "Show summary" option.
- C. Use a SAQL query leveraging the "fill" statement with a "partition" parameter.
- D. Use a SAQL query to create fake rows for any data that is missing data from the dataset.
Answer: A
NEW QUESTION 44
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