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質問 1：
Philip adds a recently created Seed Bank Orders dataset to an Einstein Analytics app for which the Mosaic Seed Bank project team has the Viewer app role. How much data in the Seed Bank Orders dataset can a project team member see?
A. Only rows designated by the App Manager
B. None of the data
C. Only rows designated by the Salesforce administrator
D. All rows and fields in the datasets
正解：D
質問 2：
Mosaic recently hired a new development coordinator, Zoe. First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can't access Einstein Analytics. What could be the problem?
A. An admin hasn't run a dataflow.
B. Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.
C. Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.
D. Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.
正解：B
質問 3：
A company used Einstein Analytics to create two datasets:
1. "Opportunity With Account- dataset, which contains data from the Opportunity standard object augmented by the Account data.
2. "Case with Account" dataset. which contains data from the Case standard object augmented by the Account data.
The company wants to build a lens showing the total number of Opportunities and Cases per Account. How can a consultant help them build this lens'
A. Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.
B. Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.
C. Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.
D. Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated by Account, and use the generated dataset in a lens.
正解：C
質問 4：
A Tableau CRM consultant has just completed deployment of an analytic app containing a recipe plus several datasets and dashboards. While conducting post deployment a smoke test, the new datasets don't seem to have migrated.
What post migration step has likely been forgotten?
What post migration step has likely been forgotten?
A. Go to Analytics Settings in Setup and approve the deployment
B. Apply security predicates on datasets
C. Provide read access on the datasets
D. Run the recipe
正解：D
質問 5：
The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they can calculate the Sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales representative, the target amount, and the month of the target. For each sales representative, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?
A. Update
B. Upsert
C. Overwrite
D. Append
正解：C
質問 6：
A consultant built a very useful Einstein Analytics app for the corporate Sales Operations team of a company that has multiple Salesforce Ogrs, Each Org has similar models and would like to review their data the way that the corporate Sales Operations team does. The app has been packaged and needs to be installed on the other production orgs.
What is the recommended practice to install the custom template app?
A. Change Sets
B. Rest API
C. Salesforce Managed Package
D. Metadata API
正解：C
質問 7：
A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.
Which action should the Einstein Consultant take?
A. Split the analysis into multiple models will each having fewer products
B. Adjust the model to eliminate extreme values in the outcome variable.
C. Run the model using the default variables in the Product object
D. Use SKU numbers rather than product names to increase clarity.
正解：D
Philip adds a recently created Seed Bank Orders dataset to an Einstein Analytics app for which the Mosaic Seed Bank project team has the Viewer app role. How much data in the Seed Bank Orders dataset can a project team member see?
A. Only rows designated by the App Manager
B. None of the data
C. Only rows designated by the Salesforce administrator
D. All rows and fields in the datasets
正解：D
質問 2：
Mosaic recently hired a new development coordinator, Zoe. First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can't access Einstein Analytics. What could be the problem?
A. An admin hasn't run a dataflow.
B. Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.
C. Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.
D. Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.
正解：B
質問 3：
A company used Einstein Analytics to create two datasets:
1. "Opportunity With Account- dataset, which contains data from the Opportunity standard object augmented by the Account data.
2. "Case with Account" dataset. which contains data from the Case standard object augmented by the Account data.
The company wants to build a lens showing the total number of Opportunities and Cases per Account. How can a consultant help them build this lens'
A. Use "Compare Table" to join the "OpportunityWithAccount" and "CaseWithAccount" datasets using the "Accountld" and then aggregate by Account.
B. Set up Connect Data Sources in the UI between the "OpportunityWithAccount" and "CaseWithAccount" datasets.
C. Use a SAQL query to group and join the "OpportunityWithAccount" and "CaseWithAccount" datasets then generate the results.
D. Create a recipe to generate a new dataset from the "OpportunityWithAccount" and "CaseWithAccount" datasets aggregated by Account, and use the generated dataset in a lens.
正解：C
質問 4：
A Tableau CRM consultant has just completed deployment of an analytic app containing a recipe plus several datasets and dashboards. While conducting post deployment a smoke test, the new datasets don't seem to have migrated.
What post migration step has likely been forgotten?
What post migration step has likely been forgotten?
A. Go to Analytics Settings in Setup and approve the deployment
B. Apply security predicates on datasets
C. Provide read access on the datasets
D. Run the recipe
正解：D
質問 5：
The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they can calculate the Sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales representative, the target amount, and the month of the target. For each sales representative, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?
A. Update
B. Upsert
C. Overwrite
D. Append
正解：C
質問 6：
A consultant built a very useful Einstein Analytics app for the corporate Sales Operations team of a company that has multiple Salesforce Ogrs, Each Org has similar models and would like to review their data the way that the corporate Sales Operations team does. The app has been packaged and needs to be installed on the other production orgs.
What is the recommended practice to install the custom template app?
A. Change Sets
B. Rest API
C. Salesforce Managed Package
D. Metadata API
正解：C
質問 7：
A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.
Which action should the Einstein Consultant take?
A. Split the analysis into multiple models will each having fewer products
B. Adjust the model to eliminate extreme values in the outcome variable.
C. Run the model using the default variables in the Product object
D. Use SKU numbers rather than product names to increase clarity.
正解：D
府川** -
試験にも合格だ。完璧。
とても有用なTableau-CRM-Einstein-Discovery-Consultant参考書になります。