Pass Salesforce Tableau-CRM-Einstein-Discovery-Consultant PDF Dumps | Recently Updated 210 Questions
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NEW QUESTION 105
A company's Salesforce org has multi-currency enabled. This company's business intelligence team used Einstein Analytics to build a dataflow that creates a dataset, "OpportunityDataSet". This dataset is populated with data extracted from the standard object, Opportunity. One of the extracted fields is the standard field, Amount.
If a user explores the "OpportunityDataSet" in Einstein Analytics, in which currency will the Amount values be shown?
- A. In the currency that is set on the "currency" attribute in the dataset
- B. In the connected user's currency
- C. In the integration user's currency
- D. In the currency that is set on the "currency" attribute in the dataflow
Answer: C
Explanation:
Reference:
https://salesforce-trailblazer.com/einstein-analytics-multi-currency/
NEW QUESTION 106
Max number of dataflow definitions (with data sync enabled)
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION 107
Which of the following is true about the Service Analytics Overview dashboard?
- A. It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.
- B. It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.
- C. It's a great place to start your analysis.
- D. It's available on desktop and mobile.
- E. All of the above.
Answer: E
NEW QUESTION 108
In Einstein Discovery:
- A. '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.
- B. '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:
- waterfall charts for predictions
- bar charts for suggested improvements - C. '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.
- D. '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.
Answer: A,B,C
NEW QUESTION 109
Exhibit:
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 SAQL query to create fake rows for any data that is missing data from the dataset.
- B. Use a "Compare Table" and add a column leveraging the "Running Total" function.
- C. Use a "Compare Table" and use the "Show summary" option.
- D. Use a SAQL query leveraging the "fill" statement with a "partition" parameter.
Answer: D
NEW QUESTION 110
A client has a dataset comprised of Opportunity data and Opportunity Line level dat a. 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. Change the grain by removing the line level detail as it will skew the win rate.
- 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. Select the isWon = True outcome variable and generate the story.
Answer: C
NEW QUESTION 111
The Universal Containers Einstein Analytics team built a dashboard with two widgets:
1. List widget associated to the step "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Pie chart widget associated to the step "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings so any selection in the List widget will filter the Pie chart.
Additional notes:
* The steps use different datasets.
* Users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding?
A)
B)
C)
D)
- A. Option C
- B. Option D
- C. Option B
- D. Option A
Answer: A
NEW QUESTION 112
Can you share dashboards with others in your org?
- A. Click on the "Share" icon on the lens. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot
- B. No, you can't share dashboards.
- C. Click on the "Share" icon on the dashboard. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot.
- D. Click on the "Share" icon on the dataset.
Answer: C
NEW QUESTION 113
Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?
- A. Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device.
- B. Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.
- C. Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width.
- D. Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type.
Answer: B
NEW QUESTION 114
A small Business Intelligence team is overwhelmed with multiple requests to create new dashboards. An option is to use layout templates to help with dashboard development.
What are two advantages of using layout templates? Choose 2 answers
- A. Layout templates are fast to create because they are fixed and read-only
- B. Layout templates offer a consistent end user experience
- C. Layout templates offer a universal layout thus reducing the hours spent on design
- D. Layout templates are equipped with design best practice, such as optimally positioned KPIs and filters
Answer: B,C
NEW QUESTION 115
Which three parameters are used in a compare table formula field to calculate and display a field as percentage value? Choose 3 answers
- A. Length
- B. Column Color
- C. Calculation
- D. Column Name
- E. Format
Answer: C,D,E
NEW QUESTION 116
Which of the following are included in the template object?
- A. A,B and C
- B. A,C
- C. variables.json
- D. app.json
- E. ui.json
Answer: B
Explanation:
Reference:
* 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 117
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. The root object determines what related objects you can add to the dataset.
- C. The root object determines what app the dataset is saved in.
- D. Only data from the root object can be included in the dataset.
Answer: B
NEW QUESTION 118
A company uses role hierarchy to implement data security in Salesforce. They want the same role-hierarchy-based security model to apply in Einstein Analytics, but want the users in a role to see data owned by other users in the same role.
Using the "flatten" transformation, which attribute setting achieves this requirement?
- A. Set the attribute "include_self_id" to false.
- B. Set the attribute "selfjield" to false.
- C. Set the attribute "include_self_id" to true.
- D. Set the attribute "selfjield" to true.
Answer: C
Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_integrate_flatten_transformation_operation.htm&type=5
NEW QUESTION 119
The Tableau CRM team at a company has created three dataflows.
myDataflowOne: this dataflow tasks 2 hours to run.
myDataflowOne: this dataflow tasks 1 hours and 30 minutes to run
myDataflowOne: this dataflow tasks 1 minute and 30 seconds to run.
If all three dataflows run, how many count towards the limit?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION 120
What's the best way to describe the template-info.json file?
- A. It's a read-only file with all the user documentation for a template.
- B. It's the boss of the template with all the information needed to create the app.
- C. It's automatically populated every time you create an app from the template.
- D. It makes sure that the app includes all the right Salesforce data.
Answer: B
Explanation:
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_structure
NEW QUESTION 121
Default # rows in compare table.
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION 122
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. Move calculations to a dataflow.
- C. Distribute steps among separate pages.
- D. Use SAQL code to join datasets at runtime.
- E. Replace separate step filters with a global filter.
Answer: B,C,E
NEW QUESTION 123
The Universal Containers company thinks it knows everything about its business. However, Einstein Discovery surfaces an unexpected pattern that is concerning. They call in departmental experts and hold a meeting to discuss next steps with an Einstein Consultant.
What should the consultant advise as the next action'
- A. Filter out the data that causes the unexpected pattern and analyze the new results.
- B. Determine if the pattern is a data issue or a new insight.
- C. Consult a Data Scientist for further analysis.
- D. Accept the new pattern and have confidence that Einstein knows the business as accurately as the customer.
Answer: D
NEW QUESTION 124
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. computeValue
- B. computeData
- C. computeExpression
- D. computeField
Answer: C
NEW QUESTION 125
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