Question 1

As part of their analysis, Yasmine, Tonya, and Hadiqa need to create and save lenses to their project app. What is the minimum app role they need to do this?

Options :

A : Manager

B : Viewer

C : Editor

D : Designer

Answer: C

Question 2

How can you restrict access to Analytics data at the row level?

Options :

A : Manually add a flag to each row to prevent access.

B : Use a security predicate to filter which rows are returned.

C :

Use subtle thought control.

D : Remove restricted rows from the JSON file

Answer: B

Question 3

A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including: recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at 6:00 AM EST. How should the consultant proceed?

Options :

A :

Use the Data Manager and schedule each item to run at 6:00 AM EST based on ‘Time-based Scheduling’.

B :

Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling’.

C : Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.

Answer: C

Question 4

In Data Alerts, a field named Region is 96.5% North America. The consultant believes that this is an important field since the majority of sales is in the North American market. What is the appropriate action?

Options :

A : Choose the recommended action “keep only North America” and exclude all of the other rows.

B :

Understand if client should only "focus on North America” or drop the field, as it does not have valuable information.

C : Append more rows of data with "other values of Region” to balance the dataset properly.

Answer: B

Question 5

A dataset is ready for analysis in Einstein Discovery.
What is the first step a consultant should take after the data is loaded?

Options :

A : Identify data types and define the appropriate data as numeric.

B : Analyze data columns and decide which, if any, to drop.

C : Produce a graph of the data to analyze.

D : Load the data into Einstein Analytics

Answer: A

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