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Tableau-CRM-Einstein-Discovery-Consultant問題集で2024年最新のSalesforce Tableau-CRM-Einstein-Discovery-Consultant試験問題
質問 # 70
What does Einstein Analytics check when a user submits a query against a dataset?
- A. Which rows the user has access to
- B. Which fields the user has access to
- C. Whether the user has access to the app
- D. If the user has access to the dataset
正解：A
質問 # 71
How do you analyze data from a CSV file using Einstein Discovery?
- A. Import the CSV file into an Einstein Analytics dataset, then create a story.
- B. You can't import data from a CSV file
- C. Import the CSV file into the most similar Salesforce object, then run reports on that object.
- D. Import the CSV file into Einstein Discovery.
正解：A
質問 # 72
Upper and lower limits on rows in discovery.
- A. 3000 row minimum, 20,000,000 max
- B. 00 row minimum, 20,000,000 max
- C. 500 row minimum, 25,000,000 max
- D. 1000 row minimum, 15,000,000 max
正解：B
質問 # 73
How many concurrent stories per org are allowed?
- A. 0
- B. 1
- C. 2
- D. 3
正解：C
質問 # 74
To use the Sales Analytics app, which permission set license do you need?
- A. Analytics Templated Apps
- B. Security User
- C. Sales Analytics Apps
- D. Sales Wave
正解：C
解説：
Each prebuilt Analytics app has its own PSL. When you set up permissions for those apps, select the right PSL. For Service Analytics, select "Service Analytics Apps." For Event Monitoring, select "Event Monitoring Analytics Apps," and so on.
質問 # 75
Which isn't an option for setting a security predicate for a dataset created from an external data file?
- A. In the dataset Security Predicate
- B. In the metadata file associated with the external data file using the rowLevelSecurityFilter key
- C. On each row prior to upload
- D. In the Register transformation node of a dataflow that uses this dataset
正解：C
質問 # 76
Your sales team requests that datasets for their dashboards are refreshed every hour. You agree to investigate if this is possible and find that the dashboards use A datasets created from two recipes. The first recipe takes 43 min to run and the second recipe takes 25 min to run.
Is it possible to refresh data every hour?
- A. Yes, the number of recipe runs does not exceed the limit of 60 in a 24 hour rolling period.
- B. No, the number of recipe runs exceed the limit of 40 in a 24 hour rolling period.
- C. Yes, with the concurrent recipe runs the duration is less than hour.
- D. No, the total duration of the recipe jobs exceeds one hour.
正解：B
質問 # 77
In a Compare Table formula, you can refer to other columns with:
- A. Their names
- B. Numbers (1..9)
- C. Letters (A..Z)
- D. All of the above
正解：C
質問 # 78
What are two core design principles to consider when building Analytics apps or dashboards? Choose 2 answers
- A. Balance: make sure they have a balance of different charts to get a more interesting design.
- B. Clarity: make sure they are uncluttered and easy to interpret.
- C. Emphasis: make sure they have space for important information, such as headlines and key charts.
- D. Consistency: make sure they have a sense of familiarity to strengthen your users' ease of use.
正解：B、D
解説：
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/analytics-app-design/principles-good-design
質問 # 79
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. computeField
- B. computeData
- C. computeExpression
- D. computeValue
正解：C
質問 # 80
Refer to the graphic.
Which conclusion can be made regarding the strength of the model shown?
- A. The model is very weak and doesn't provide useful predictions due to the low threshold.
- B. The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.
- C. The strength of the model cannot be determined with the metrics shown.
- D. The model is very strong. A GINI coefficient of .535 shows that this model is very effective.
正解：A
質問 # 81
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. Limit widget actions and exploration so users will focus only on the high-level information.
- B. Use charts to help users ask questions, not illustrate a conclusion.
- C. Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.
- D. Use the different chart types to make the dashboard interesting and appealing.
正解：B
解説：
Reference:
https://help.salesforce.com/articleView?id=bi_dashboard_build_tips.htm&type=5
質問 # 82
When you set up Analytics, which of the following features can you enable?
- A. B and C
- B. Low-fuel notifications
- C. Sharing of apps with Communities
- D. A and B
- E. Access to the API
正解：A
解説：
Community member should have assigned:
- 'Analytics for Communities' permission set license - a permission set that includes the 'View Analytics on Communities pages' Its possible to access API.
- for a user: API Enabled permission
- for all: Analytics =>Settings=>Grant all users access to Wave API for all users
質問 # 83
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 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.
- B. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
- C. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
- D. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
正解：A
解説：
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4666c2
質問 # 84
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.
Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers
- A. Use selection binding in the filters section of the step "Step_pie_1."
- B. Enable the option "Apply filters from faceting" in the step "Region_1."
- C. Use selection binding in the filters section of the step "Region_1."
- D. Enable the option "Apply filters from faceting" in the step "Step_pie_1."
正解：A、D
質問 # 85
To see predictive insights, what option do you select in the Story toolbar?
- A. How Can I Improve It
- B. Predictions & Improvements
- C. Why It Happened
- D. What Happened
- E. What Changed Over Time
正解：B
質問 # 86
A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?
- A. Ask the credit card company for a more comprehensive dataset to analyze.
- B. Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
- C. Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
- D. Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
正解：C
質問 # 87
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. Use sharing inheritance.
- B. Apply a security predicate on the existing single dataset.
- C. Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance.
- D. Add the sales organization to the attainment dataset access list.
正解：C
質問 # 88
Which two recommended techniques can be used to access tableau CRM data from a remote app or website? Choose 2 answers
- A. Use HTTPS to call the /wave/query API, supplying an encoded SAQL query as a parameter.
- B. Use an Iframe to embed the Salesforce page in a remote site.
- C. Export the data to a CSV, copy it to a USB drive, and load it on the remote site.
- D. Use Lightning out to embed a dashboard component in the remote site.
正解：A、D
質問 # 89
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 REST API to get predictions from Einstein Discovery.
- C. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
- D. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
正解：A
解説：
https://help.salesforce.com/articleView?id=bi_edd_wb_native.htm&type=5
質問 # 90
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