Question 1

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?

Options :

A : Dataflow Editor

B : Recipes Editor

C : Step Editor

D : Settings

Answer: A

Question 2

What permissions are necessary for someone to edit the XMD?

Options :

A : Upload External Data to Analytics

B : Manage Analytics Templated Apps

C : Edit Analytics Dataflows

D : Edit Dataset Recipes

Answer: A,C

Question 3

A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?

Options :

A : Use the Analytics External Data API and leverage the 'query' resource.

B : Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.

C : Use the Analytics REST API and leverage the -query' resource.

D : Export the dataset as a CSV file and load it to an external database.

Answer: A

Question 4

Trending data limits: Maximum number of trended datasets per user and rows per snapshot:

Options :

A : 5 per user, 200,000 per snapshot

B : 10 per user, 100,000 per snapshot

C : 10 per user, 200,000 per snapshot

D : 5 per user, 100,000 per snapshot

Answer: D

Question 5

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?

Options :

A : 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

B : 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

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 '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

Answer: B,C

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