What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?

• A.Remind them that the technology is only as good as the data.
• B.Highlight that Einstein reduces time to insight, which is much faster than learning from experience.
• C.Advise them that the use case may not be accurate.
• D.Recommend using a visualization tool, like Einstein Analytics, to uncover the details.

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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 "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
• 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, Q use "append" 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 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

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Concurrent queries per user?

• A.20
• B.10
• C.50
• D.25

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In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
In which two ways can this be accomplished? Choose 2 answers

• A.Create an XMD node in the dataflow to change the label and color of the values in the fields.
• B.In the explorer, select the boolean fields, then create a derived dimension that references the boolean fields, and then modify the values and colors of the derived dimension.
• C.In the explorer, select the boolean fields and use the "edit values" option on the fields to change values and colors.
• D.Download the XMD for the dataset and change the values and color for the fields and then upload to the dataset.

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Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?

• A.Cancel running installations from Setup
• B.Stop the recipe from running in Data Manager.
• C.Update the app with the new field after installation.

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