リアルSalesforce Tableau-CRM-Einstein-Discovery-Consultant試験問題集には正解244問題と解答があります
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Salesforce Tableau CRM Einstein Discovery Consultant試験は、Tableau CRM Einstein Discoveryプラットフォームの実装と管理に関する知識とスキルをテストするように設計されています。この認定は、ビジネスインテリジェンスとデータ分析分野で働く人々にとって特に関連性があり、Salesforceの高度な分析ツールを使用する能力を証明します。
質問 # 133
A Senior Sales Business Analyst asks for a dashboard that contains fiscal year product opportunities. Information is maintained in a spreadsheet which is comprehensive, but its contents often need to be explained. After sketching the dashboard, the consultant is ready to start building.
Which concept should be applied to this dashboard?
- A. Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.
- B. Limit widget actions and exploration so users will focus only on the high-level information.
- C. Use charts to help users ask questions, not illustrate a conclusion.
- D. Use the different chart types to make the dashboard interesting and appealing.
正解：C
解説：
Reference:
https://help.salesforce.com/articleView?id=bi_dashboard_build_tips.htm&type=5
質問 # 134
What does XMD stand for?
- A. Configuring unsupported fields
- B. Create a JSON
- C. Extended Metadata
- D. Lenses Dataset Fields
正解：C
質問 # 135
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. Rerun and update the story with a different algorithm.
- B. Proceed with deployment if the model quality metric values ire sufficient.
- C. Identify additional data that may have a stronger relationship with the outcome variable.
- D. Edit the model accuracy settings and rerun the story.
正解：B、C
質問 # 136
In the context of Analytics, what is faceting?
- A. Something only programmers can access
- B. Measuring the number of significant digits of precision for a particular metric
- C. Filtering all related widgets in a dashboard by your selection
- D. Representing the number of widgets on a dashboard
- E. Choosing the color of the background in a graph
正解：C
質問 # 137
The edgemart transformation gives the dataflow access to an existing, registered dataset that can contain Salesforce data, external data, or a combination of both.
Where is an edgemart transformation specified?
- A. Settings
- B. Step Editor
- C. Recipes Editor
- D. Dataflow Editor
正解：D
解説：
https://help.salesforce.com/articleView?id=bi_integrate_edgemart_transformation.htm&type=5
質問 # 138
What happens if the ui.json file is empty?
- A. You create a text-only version of an app.
- B. The dataflow fails.
- C. The app includes all possible dashboards by default.
- D. B and D
- E. The template will not include a configuration wizard.
正解：E
解説：
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_structure
質問 # 139
What does the Division is Naval section of the waterfall graph tell you?
- A. How individual factors separately affect the outcome for Naval customers
- B. How combinations of factors affect the CLV for Naval customers
- C. What the relationship is between significant and insignificant factors as they impact CLV for Naval customers
- D. How the chosen variable is related to all other factors in the model for Naval customers
正解：B
解説：
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/dm_einstein_discovery_advanced_stories/dm_understand_why_it_happened_insights
質問 # 140
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 Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);
- D. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);
正解：A
質問 # 141
Universal Containers reports that nay selection in the List widget is not affecting the pie chart in one of their tableau CRM dashboard. They query options associated with the List widget and Pie chart are shown in the graphic Which change can a Tableau CRM Consultant implement to solve this issues, given that the queries are using the same dataset?
- A. Set faceting to All instead of None in the query "Step_pie_1."
- B. Set faceting to all instead of None in the query "Region_1."
- C. Use selection binding/interaction in the filters section of the query "Region_1."
- D. Use result binding/interaction in the filters section of the query "Step_pie_1."
正解：A
質問 # 142
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. compute Expression
- B. flatten
- C. compute Relative
- D. append
正解：A
質問 # 143
A training dataset Is being prepared for a Einstein Discovery story. One skewed with outliers. at action should the Einstein consultant take?
- A. Remove the outlier rows.
- B. Change the method of binning to fixed width.
- C. Remove the field because it has bad data
- D. Nothing, because the field is not the outcome variable.
正解：B
質問 # 144
Why would you use a merge key in a dataset recipe?
- A. To find out what the merge icons represent in a dataset
- B. To schedule when a dataset recipe runs
- C. To join related data from different sources
- D. To deal with duplicate records
正解：C
質問 # 145
A large company has a single dataset that contains the attainment and commission fields for all sales reps. Each sales rep should be able to view the attainment data for each rep in their division. Each rep should only be able to see their own commission data.
Which option should be used to enforce this requirement?
- A. Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance.
- B. Add the sales organization to the attainment dataset access list.
- C. Apply a security predicate on the existing single dataset.
- D. Use sharing inheritance.
正解：A
質問 # 146
An Einstein Analytics team created a funnel chart to show the number of opportunities in each stage. The managers who use the chart report that the funnel shows stages in alphabetical order instead of sales cycle order.
In which two ways can a consultant help them address this issue? Choose 2 answers
- A. Use a dataflow to rename the stages with a preceding number.
- B. Use a dashboard JSON to rename stages.
- C. Use a dataset XMD to rename stages.
- D. Use a dataflow to sort the stages by their internal name.
正解：A、C
質問 # 147
What is the test called that helps to identify categories that exhibit a pattern outside the overall average?
- A. Critical region test
- B. Null hypothesis test
- C. Chi-square test
- D. T-test
- E. Significance level test
正解：D
質問 # 148
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 selection binding in the filters section of the step "Type_l."
- B. Use 'Connect Data Sources" and create a connection to connect the two datasets.
- C. Use "Connect Data Sources" and create a connection to connect the two widgets.
- D. Use selection binding in the filters section of Che step "Step_pie_2."
正解：B、D
質問 # 149
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 with all story data
- C. Selected variable average with the mean
- D. Selected variable average with the filtered average
- E. Selected variable with a different variable
正解：B
質問 # 150
An Einstein Analytics team wants to create a dashboard using two standard Salesforce objects. The dashboard should display data from the Case object, along with related data from the Account object. Which two processes can achieve this?
- A. Extract data from the case and account objects using an ETL tool, use the ETL tool to y/ Q join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset
- B. Extract data from the case and account objects using "dataloader", create a CSV file Q with account and case data, and then upload the CSV as a dataset to Einstein Analytics. Build a dashboard using that dataset
- C. Extract data from the case and account objects using "sfdcDigest" transformation, y/ Q use "augment" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset
- D. Extract data from the case and account objects using "sfdcDigest" transformation, Q use "append" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset
正解：A、C
質問 # 151
Exhibit:
Which two statements can be determined based on the Why it Happened graphic above' Choose 2 answers
- A. The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.
- B. Germany sells more Call Center product and that helps them increase their win rate.
- 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.
正解：B、D
質問 # 152
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Salesforce Tableau-CRM-Einstein-Discovery-Consultant認定リアル2023年最新の模擬試験：https://drive.google.com/open?id=1ORKesMA6p3tGUm1ue1BkBgt-twv1HDjt