
[Apr-2024] Tableau-CRM-Einstein-Discovery-Consultant Dumps With 100% Verified Q&As - Pass Guarantee or Full Refund
Pass Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam With Practice Test Questions Dumps Bundle
NEW QUESTION # 43
What do Analytics apps do?
- A. Let you create configuration wizards to make Analytics setup easier
- 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 add new types of charts to Salesforce
Answer: C
NEW QUESTION # 44
What is an Analytics app?
- A. A specialized version of the Einstein Analytics platform that runs outside of Salesforce
- B. Analytics for iPad
- C. A collection of datasets, dashboards, lenses, and a dataflow
- D. The blueprint for your org's Einstein Analytics implementation
Answer: C
NEW QUESTION # 45
Which of these standard deviations is for a curve that has values that are the most spread out away from the average?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION # 46
An Einstein Analytics team reports that when they start their dataflow it runs successfully with no errors or warnings, but one of the fields does not return values when it is queried.
What can be the origin of this issue7
- A. The user who runs the dataflow does not have access to the field.
- B. The "Integration User Profile" does not have access to the field.
- C. The ""Security User Profile" does not have access to the field.
- D. The field does not contain any data in Salesforce.
Answer: D
NEW QUESTION # 47
An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?
- A. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
- B. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
- C. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
- D. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
Answer: A
Explanation:
https://help.salesforce.com/articleView?id=bi_edd_wb_native.htm&type=5
NEW QUESTION # 48
Number of queries per user per day
- A. 1,000
- B. 50,000
- C. 10,000
- D. 20,000
Answer: C
NEW QUESTION # 49
Universal Containers has a Sales Manager dashboard- They have a compare table that displays the count of Customers and the Sum of Annual Revenue per year and per Account type. A consultant is asked to add more groupings to enhance details about their customers.
What is the maximum number of grouping columns that the consultant must be aware of in order to continue using a compare table versus creating the query using SAQL?
- A. 0
- B. unlimited
- C. 1
- D. 2
Answer: A
NEW QUESTION # 50
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 only appears for outcomes that do not have an explanation.
- B. It displays the difference between the analyzed data and the data not reviewed.
- 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: C
NEW QUESTION # 51
A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?
- A. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
- B. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
- C. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
- D. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
Answer: B
Explanation:
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4666c2
NEW QUESTION # 52
A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?
- A. Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.
- B. Export the dataset as a CSV file and load it to an external database.
- C. Use the Analytics External Data API and leverage the "query" resource.
- D. Use the Analytics REST API and leverage the -query" resource.
Answer: C
NEW QUESTION # 53
Upper and lower limits on columns (vars) in discovery:
- A. 2 column minimum, 25 maximum
- B. 10 column minimum, 200 maximum
- C. 2 column minimum, 50 maximum
- D. 20 column minimum, 50 maximum
Answer: C
NEW QUESTION # 54
Universal Containers (UC) is a multinational company that utilizes Salesforce and has a variety of internal systems. UC uses Einstein Analytics for their data analysis platform and they want to automate their weekly manual process to create a dataset from their on-premise data warehouse. Which solution should a consultant recommend to meet this requirement?
- A. Utilize middleware with Analytics External Data API
- B. Utilize Analytics Connector.
- C. Utilize a dataflow
- D. Utilize a Salesforce weekly export feature
Answer: A
NEW QUESTION # 55
A company created a dataset called myExternalDataset. It contains a dimension, called UserRegion, that is populated by the standard User object's picklist: Region.
The company has security requirements for this dataset:
1. Only a subset of users should be able to access the dataset.
2. Users who can access the dataset should see only data that belongs to their region.
In which two ways can an Einstein Analytics consultant help them implement these requirements? Choose 2 answers
- A. Save the dataset under "My Private App" so only a subset of selected users can access the dataset.
- B. Create a sharing rule in Salesforce based on the Region field in the user object and set the dataset to inherit sharing from Salesforce.
- C. Save the dataset under a new application and give "viewer" access to a public group containing the list of users allowed to see the dataset.
- D. Use a security predicate in the dataset so users can see only rows belonging to their respective regions.
Answer: C,D
NEW QUESTION # 56
After getting approval of the dashboard layout design for a desktop, the Einstein Analytics consultant is ready to start the design process for a mobile layout.
What are three considerations that the consultant should keep in mind when developing the layout? Choose 3 answers
- A. A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel.
- B. If no layouts are eligible for the mobile device, an error message will be displayed.
- C. There are widgets that cannot be displayed on mobile layouts.
- D. If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used. (Missed)
- E. If no layouts are eligible for the mobile device, the first defined layout is used. (Missed)
Answer: A,D,E
Explanation:
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/wave_dashboard_designer_basics/wave_take_analytics_on_the_go
NEW QUESTION # 57
Max of objects that can be enabled for Data Sync
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 58
A Tableau CRM consultant develops a dashboard called
SalesPerformance_l in a sardbox environment. To deploy the recipe the consultant creates a package in workbench What is the correct meta data reference in the xml file?
- A. SalesPerformance_1 EdgeOashboard
- B. SalesPefformance_1
- C. SalesPerformance_1 EADashboard
- D. SalesPerformance_1 waveDashboard
Answer: D
NEW QUESTION # 59
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5
- A. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
- B. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
- C. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
- D. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
Answer: C
NEW QUESTION # 60
An Einstein Consultant is reviewing the "Why it Happened" Insights provided by Einstein Discovery with the customer. The customer would like to validate the results. Which action should the consultant take?
- A. Show the customer how to export and review the R-Code model validation results
- B. Consult with a Data Scientist to validate the findings
- C. Use the Share and Export feature to help the customer determine if the findings make logical sense
- D. Check the p-values and standard deviation
Answer: C
NEW QUESTION # 61
Which chart type is best suited to track progress of sales revenue that is realized versus the target?
- A. Bar chart
- B. Pie chart
- C. Pivot table
- D. Flat gauge
Answer: D
NEW QUESTION # 62
In the Insights list, insights are ranked in what order?
- A. Alphabetical
- B. Geospatial
- C. There is no order
- D. Time
- E. Statistical significance
Answer: E
NEW QUESTION # 63
Which of the following are requirements for enabling Analytics for Communities?
- A. Wait at least 3 days after purchase.
- B. Assign your community members the Analytics for Communities permission set license.
- C. B and D
- D. Have a Customer Community Plus or Partner Community license.
- E. Be nominated by your community peers.
Answer: C
Explanation:
Community member should have assigned:
- 'Analytics for Communities' permission set license - a permission set that includes the 'View Analytics on Communities pages' Only users with a Customer Community Plus or Partner Community license can use this feature. This feature is supported in communities but not in portals.
NEW QUESTION # 64
Creating an Einstein Discovery story involves:
- A. Entering notes about the data
- B. Copying text from company reports and pasting into Einstein Discovery
- C. Selecting a Dataset in Einstein Analytics, then clicking Create Story
- D. Uploading a Microsoft PowerPoint presentation
Answer: C
NEW QUESTION # 65
After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high?
What is the most likely multiple for this?
- A. The dataset used in the story suffers from too many outlier values.
- B. The outcome variable is causing data leakage.
- C. The dataset contains too many rows.
- D. The dataset contains multiple dominant values.
Answer: D
NEW QUESTION # 66
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 "selfjield" to true.
- B. Set the attribute "include_self_id" to false.
- C. Set the attribute "selfjield" to false.
- D. Set the attribute "include_self_id" to true.
Answer: D
Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_integrate_flatten_transformation_operation.htm&type=5
NEW QUESTION # 67
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Salesforce Tableau CRM Einstein Discovery Consultant Certification Exam is a highly sought-after certification for professionals who specialize in business intelligence and data analysis. Salesforce Tableau CRM Einstein Discovery Consultant certification validates the knowledge and skills required to implement and maintain Tableau CRM solutions using Einstein Discovery, a powerful AI-driven analytics platform.
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