EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT Certification Exam Questions with AI Explanations

QUESTION: 36

An insurance company has many Einstein Analytics dashboards that show the influence of weather, such as atmospheric temperature, on customer cases. A service agent commented that it is sometimes difficult to determine, by looking at a dashboard, whether the temperature data is reported in degrees Fahrenheit or in degrees Celsius.
How can a dashboard designer ensure the temperature data is easier to interpret on the dashboards?

Add a text widget to the dashboard to indicate Fahrenheit or Celsius.
Use the XMD node in the dataflow to customize the number format of the field.
Customize the number format in the number widget properties of the dashboard.
In Explorer, go to the Fields menu and then customize the number format of the measure.

Answer(s): A

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QUESTION: 37

A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarchy'

digest transformation
flatten transformation
delta transformation
sfdcDigest transformation

Answer(s): B

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QUESTION: 38

You can get data into Einstein Discovery:

By connecting a USB drive to your laptop
By using an Einstein analytics dataset
Only if your database administrator does it for you
Only if Salesforce does it for you

Answer(s): B

Explanation:

https://trailhead.salesforce.com/content/learn/modules/wave_exploration_smart_data_discovery_basics/wave_get_smart_data_discovery_and_data

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QUESTION: 39

Which of the following is true about the Service Analytics Overview dashboard?

It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.
It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.
It's available on desktop and mobile.
It's a great place to start your analysis.
All of the above.

Answer(s): E

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QUESTION: 40

The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.
Which two actions should a consultant take? Choose 2 answers

Deploy the story, because the variation in the metrics is within the normal range.
Confirm that the overall GINI coefficient is good prior to deploying the story.
Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.
Do not deploy the story immediately, and research why one fold is performing worse than the others.

Answer(s): B,D

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Salesforce Einstein Analytics and Discovery Consultant(SU19) EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT Dumps in PDF

Free Salesforce EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT Real Questions (page: 27)

QUESTION: 36

QUESTION: 37

QUESTION: 38

Explanation:

QUESTION: 39

QUESTION: 40