[Feb 13, 2025] Valid CRM-Analytics-and-Einstein-Discovery-Consultant Test Answers Full-length Practice Certification Exams [Q19-Q40]

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[Feb 13, 2025] Valid CRM-Analytics-and-Einstein-Discovery-Consultant Test Answers Full-length Practice Certification Exams

Accurate & Verified 2025 New CRM-Analytics-and-Einstein-Discovery-Consultant Answers As Experienced in the Actual Test!

Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	Einstein Discovery: This section unveils the magic of AI-driven insights and candidates’ ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein’s advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.
Topic 2	Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.
Topic 3	Analytics Dashboard Implementation: Here, consultants embark on a creative exploration of dashboard configuration, optimization of query performance using Dashboard Inspector, and using advanced functionality such as windowing.
Topic 4	Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It’s all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.

NEW QUESTION 19
What are the 3 basic actions within a query in Analytics? Choose 3:

Aggregate by a measure

Count rows by measure you want to visualize.

Filter to narrow down your results.

Grouping by a dimesnsion

Display the results graphically

NEW QUESTION 20
In Einstein Discovery:

‘What Is The Difference’ insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.

‘Why It Happened’ insights help you take a deeper look into the exact factors that led to an outcome. Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story’s goal. These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.

‘Predictions and Improvements’ insights help you explore what might happen in the future. For example, you can interactively perform “what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses:
– waterfall charts for predictions
– bar charts for suggested improvements

‘What Happened’ insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.

NEW QUESTION 21
Which of the following are requirements for enabling Analytics for Communities?

Wait at least 3 days after purchase.

Have a Customer Community Plus or Partner Community license.

Be nominated by your community peers.

Assign your community members the Analytics for Communities permission set license.

B and D

NEW QUESTION 22
A consultant is building a CRM Analytics dashboard for Universal
Containers. The consultant has enabled data sync to increase the
speed of datasets refreshing.
How often will the data on the dashboard be refreshed?

When dataflow/recipe runs to completion, and then data syne runs to completion

When the dashboard viewer clicks the Refresh button

When data sync runs to completion, and then dataflow/recipe runs to completion

NEW QUESTION 23
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

NEW QUESTION 24
The Tableau CRM team at a company has created three dataflows.
myDataflowOne: this dataflow tasks 2 hours to run.
myDataflowOne: this dataflow tasks 1 hours and 30 minutes to run
myDataflowOne: this dataflow tasks 1 minute and 30 seconds to run.
If all three dataflows run, how many count towards the limit?

NEW QUESTION 25
Which timeseries statement will fix the query?

q= timeseries q generate ‘sum_Sales’ as ‘Forecasted_Sales’ with (dateCols= (‘Date_Year’, ‘Date Quarter’, “Y-Q”), partition=’Region’, seasonality=4);

q = timeserles q generate ‘sum_Sales’ as ‘Forecasted_Sales’ with (length=12, dateCols=(“Date_Year’, ‘Date_Month’, “Y-M”), partition=’Region’);

q = timeseries q generate ‘sum_Sales’ as ‘Forecasted_Sales’ with (dateCols= (‘Date_Quarter’, ‘Date_Month’, “Q-M”), partition=’Region’, ignoreLast=true);

NEW QUESTION 26
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
A set of JSON files will be generated after a template is created from the Sales Operations app. What is the name of the JSON file that manages template metadata and all other template elements’

ui.json

template-to-app-rules.json

aster- info.j son

template-info.json

NEW QUESTION 27
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.

NEW QUESTION 28
To model customer value, a consultant decided to aggregate the amount ($) individual customers spent over a 2-year span.
With reference to the outcome variable, which action should the consultant take?

Create five bins of revenues, ranging from Very High Value, high Value, average Value, Low Value, and very Low Value in dataflow.

Select the option: Are you expecting a whole number greater than or equal to 0?

Create five bins or revenue, ranging from very high Value, High Value, Average Value, Low Value, and Very Low Value in data prep.

Select to minimize the outcome variable.

NEW QUESTION 29
What does the Division is Naval section of the waterfall graph tell you?

How combinations of factors affect the CLV for Naval customers

How individual factors separately affect the outcome for Naval customers

What the relationship is between significant and insignificant factors as they impact CLV for Naval customers

How the chosen variable is related to all other factors in the model for Naval customers

NEW QUESTION 30
Yasmine wants to create a lens with the Seed Bank Orders dataset, but she currently doesn’t see any rows in the dataset. Since Yasmine is Hadiqa’s manager, Yasmine asks Hadiqa if she’s experiencing the same problem, but Hadiqa replies that she can see all the rows. Why is this happening?

The dataset’s security predicate was set up incorrectly.

Yasmine doesn’t have the Manager app role.

Yasmine wasn’t assigned a permission set.

Yasmine doesn’t have the Create and Edit Analytics Dashboards permission.

NEW QUESTION 31
Which of the following are included in the template object?

ui.json

app.json

variables.json

A,B and C

A,C

NEW QUESTION 32
CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main “Deep Design Thinking” principles the team should keep in mind during the discovery sessions?

Purpose – Structure – Surface

Priority – Logic – Level of Granularity

Clarity – Efficiency – Consistency

NEW QUESTION 33
A new field called “CardBalance” is added to the standard object. Account. The team wants to add this new field to an Einstein Analytics dataset that sources the Account object; however, the team needs to limit the users who are able to view that field’s data in the dataset.
How can an Einstein Consultant help them implement this new requirement?

Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.

Add the new field to the existing dataset and activate “Sharing inheritance” in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.

Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.

Add the new field to the existing dataset and use “Security Predicates’ to hide it from users who should not access it.

NEW QUESTION 34
A consultant built an Einstein Analytics dashboard for a shipping company. The dashboard displays data from several data sources- The consultant enabled data sync (replication) to increase the speed of data refreshing from these sources.
What is the maximum number of dataflow definitions available in this situation?

NEW QUESTION 35
An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers

When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.

By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.

The customer’s org must have a Shield Platform Encryption tenant secret.

Bring Your Own Key is not supported.

NEW QUESTION 36
Upper and lower limits on rows in discovery.

1000 row minimum, 15,000,000 max

3000 row minimum, 20,000,000 max

00 row minimum, 20,000,000 max

500 row minimum, 25,000,000 max

NEW QUESTION 37
A story created has an AUC of .62.
What two things could be done to possible improve this AUC score?
Choose 2 answers

Segment the training set.

Change the order of the story insights to descending.

Run detect sentiment on the dataflow before creating the story.

Add more rows of relevant data.

NEW QUESTION 38
A consultant is creating a Churn Prediction model to identify customers who are not likely to renew their contract.
What is the appropriate action to take?

Replace nulls in the Churn Reason filed as ‘No reason given”,

Exclude active customers (customer who have not churned) from the training dataset since their Churned) from the training dataset since their Churn Reason field are nulls.

For the Churn Reason field, enable the ”This variable contains sensitive data” box because it may contain sensitive customer behavior.

Exclude the Churn reason field from the dataset.

NEW QUESTION 39
A CRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to deploy.
Which action should the consultant take?

A Identify additional data that may have a stronger relationship with the outcome variable.

Edit the model accuracy settings and rerun it to evaluate the correlation.

Use the appropriate algorithm and update the model.

NEW QUESTION 40
A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?

Aggregate

Flatten

Join