[Jan-2024] Tableau-CRM-Einstein-Discovery-Consultant PDF Dumps Extremely Quick Way Of Preparation [Q49-Q70]

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[Jan-2024] Tableau-CRM-Einstein-Discovery-Consultant PDF Dumps Extremely Quick Way Of Preparation

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Salesforce Tableau-CRM-Einstein-Discovery-Consultant certification is a valuable credential for professionals who work in the field of data analysis and business intelligence. It demonstrates a high level of expertise and knowledge in this area, and can help individuals advance their careers and enhance their professional credibility.

 

NEW QUESTION # 49
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
A set of JSON files will be generated after a template is created from the Sales Operations app. What is the name of the JSON file that manages template metadata and all other template elements'

  • A. template-info.json
  • B. template-to-app-rules.json
  • C. ui.json
  • D. aster- info.j son

Answer: A


NEW QUESTION # 50
Which security feature can be used to give Regional Development Coordinator roles access to only their designated regions and seed bank orders?

  • A. Security predicates
  • B. Sharing rules
  • C. Separate apps for each region
  • D. Inherited security

Answer: A


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. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer 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. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
  • D. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.

Answer: B

Explanation:
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4666c2


NEW QUESTION # 52
The Event Monitoring Analytics app brings prebuilt insights and analytics to what type of existing data in your org?

  • A. Event log file data
  • B. Field audit trail data
  • C. Sales Cloud data Login
  • D. Forensics data

Answer: A


NEW QUESTION # 53
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 (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');
  • B. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region');
  • C. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);
  • D. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);

Answer: A


NEW QUESTION # 54
How can you restrict access to Analytics data at the row level?

  • A. Remove restricted rows from the JSON file.
  • B. Manually add a flag to each row to prevent access.
  • C. Use a security predicate to filter which rows are returned.
  • D. Use subtle thought control.

Answer: C

Explanation:
Predicate is a name for a filter condition that defines row-level access to records in a dataset Example: "rowLevelSecurityFilter":"'AccountOwner' == \"$User.Name\""


NEW QUESTION # 55
In Einstein Analytics, which node is used in a dataflow to extract data from a registered dataset?

  • A. digest
  • B. edgemart
  • C. export
  • D. sfdcDigest

Answer: B


NEW QUESTION # 56
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 (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');
  • B. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region');
  • C. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);
  • D. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);

Answer: A


NEW QUESTION # 57
An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers

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

Answer: C,D

Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_analytics_encryption.htm&type=5


NEW QUESTION # 58
Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to next steps?

  • A. Identify additional data that may have a stronger relationship with the outcome variable.
  • B. Proceed with deployment if the model quality metric values ire sufficient.
  • C. Rerun and update the story with a different algorithm.
  • D. Edit the model accuracy settings and rerun the story.

Answer: A,B


NEW QUESTION # 59
How do you open the Actions menu for a particular case shown in a dashboard?

  • A. Click the Actions bar from a bubble chart
  • B. Double-click the case number in the Actions widget
  • C. Hover over the case number column of the values table widget and click the arrow that appears
  • D. Simply @mention the case manager for that segment

Answer: C


NEW QUESTION # 60
What does XMD stand for?

  • A. Create a JSON
  • B. Configuring unsupported fields
  • C. Extended Metadata
  • D. Lenses Dataset Fields

Answer: C


NEW QUESTION # 61
Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

  • A. Cancel this story and redefine the dataset.
  • B. Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.
  • C. Do nothing; they appear to be similar, but there might be differences from the business perspective.
  • D. Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.

Answer: C


NEW QUESTION # 62
Which permission gives you view-only access to Analytics?

  • A. Use Analytics
  • B. None of above
  • C. Create and Edit Analytics Dashboard
  • D. Manage Analytics

Answer: A


NEW QUESTION # 63
Which chart type is best suited to track progress of sales revenue that is realized versus the target?

  • A. Pivot table
  • B. Bar chart
  • C. Pie chart
  • D. Flat gauge

Answer: D


NEW QUESTION # 64
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 # 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 dataset contains multiple dominant values.
  • C. The outcome variable is causing data leakage.
  • D. The dataset contains too many rows.

Answer: B


NEW QUESTION # 66
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
What can the consultant do to give the Sales team more choices and options with future apps that are generated from the Sales Operations app'

  • A. Create a configuration wizard for the app.
  • B. Ensure the Sales team has the necessary permissions to customize their apps.
  • C. Update contents in the Sales Operations app and changes will be pushed down to its generated apps.
  • D. Update contents in the Sales Operations app and create new template versions of the app.

Answer: A

Explanation:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_in_action


NEW QUESTION # 67
The client asks an Einstein Consultant to build a dashboard with a chart that shows revenue and quantity of units sold. Which type of Combo Chart can the consultant use?

  • A. Grid over Bar
  • B. Line over Scatter Plot
  • C. Line over Stacked Bar
  • D. Line over Bar

Answer: D


NEW QUESTION # 68
A company wants to allow users who belong to an account team to see all the Opportunities associated with that Account in Einstein Analytics.
Which two actions accomplish this requirement? Choose 2 answers

  • A. In the dataflow, extract the OpportunityTeamMember object and augment it with the Opportunity object using 'Opportunityld' as the join field and apply the following security predicate: 'OpportunityTeamMember.Userld' == "$User.Id".
  • B. Create a master-detail relationship between the Salesforce Account and Opportunity objects.
  • C. In the dataflow, extract the AccountTeamMember object and augment it with the Opportunity object using 'Accountld' as the join field and apply following security predicate: 'AccountTeamMember.Userld' == "$User.Id".
  • D. Apply sharing inheritance.

Answer: C,D


NEW QUESTION # 69
What kind of insight is "What Is The Difference"?

  • A. Diagnostic
  • B. Descriptive
  • C. Selective
  • D. Prescriptive
  • E. Predictive

Answer: A

Explanation:
Reference:
https://trailhead.salesforce.com/content/learn/modules/understand_einstein_discovery_stories/understand-what-is-the-difference-insights


NEW QUESTION # 70
......

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