2025 Realistic Verified Free Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Questions [Q26-Q41]

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2025 Realistic Verified Free Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Questions

CRM-Analytics-and-Einstein-Discovery-Consultant Real Exam Questions and Answers FREE

NEW QUESTION 26
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.

Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers

Use selection binding in the filters section of the step “Step_pie_1.”

Enable the option “Apply filters from faceting” in the step “Region_1.”

Enable the option “Apply filters from faceting” in the step “Step_pie_1.”

Use selection binding in the filters section of the step “Region_1.”

NEW QUESTION 27
The Event Monitoring Analytics app brings prebuilt insights and analytics to what type of existing data in your org?

Field audit trail data

Forensics data

Sales Cloud data Login

Event log file data

NEW QUESTION 28
How many concurrent stories per org are allowed?

NEW QUESTION 29
A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

Fill in the missing data with an average of all incomes.

Apply the predict missing values transformation in recipe nodes.

Drop the field as it will be difficult to get future respondents.

In CRM Analytics, when dealing with incomplete data, specifically when certain respondents have not filled out fields like income, the Predict Missing Values transformation in a recipe is highly effective. This transformation allows you to predict values for missing fields based on patterns from the existing data. Since the consultant finds this field informative despite having data from only 1% of respondents, applying this transformation can estimate these missing values, which ensures that the dataset remains useful for predictive purposes without discarding important variables.
Reference: CRM Analytics Recipes and Predict Missing Values

NEW QUESTION 30
Which three parameters are used in a compare table formula field to calculate and display a field as percentage value? Choose 3 answers

Calculation

Column Color

Format

Length

Column Name

NEW QUESTION 31
consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.
What else does the consultant need to do?

Set the organization-wide default for the Opportunity object to Public Read/Write.

Create a manual sharing rule to extend access to the VP of sales from the opportunity record.

Flatten the role hierarchy in the recipe and set a backup security predicate based on opportunity owner and role path.

NEW QUESTION 32
A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.
How can a dataflow be used to calculate the average time an opportunity spends in each stage?

computeExpression Transformation with SAQL Expression to calculate the duration

flatten Transformation with Offset Expressions to calculate the duration

computeRelative Transformation with offset parameter to calculate the duration

computeRelative Transformation with SAQL Expression to calculate the duration

https://help.salesforce.com/articleView?id=bi_integrate_computeRelative_transformation_operation.htm

NEW QUESTION 33
Exhibit:

A shipping company created a dataset. “Bookll,” containing budget per region per month for the first six months of 2018. The dataset is shown in the graphic. Now, they want to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.
How can an Einstein Consultant help this company build this lens?

Use a SAQL query leveraging the “fill” statement with a “partition” parameter.

Use a SAQL query to create fake rows for any data that is missing data from the dataset.

Use a “Compare Table” and use the “Show summary” option.

Use a “Compare Table” and add a column leveraging the “Running Total” function.

NEW QUESTION 34
The CRM Analytics consultant at Cloud Kicks (CK) notices that a specific dashboard is showing a different date and time from their locale. Upon investigating, they find that the recipe and datasets were created from a locale with a PST time zone while CK is in the CET time zone.
What led to this problem?

The developer turned off dynamic time zone in CRM Analytics settings.

Data within datasets is modified for localization or internationalization.

The dataset metadata locale Is not overridden by Individual user locale settings.

NEW QUESTION 35
Salesforce Analytics is…

An application built on top of Salesforce

A tool for analyzing surf reports and forecasts

A CRM alternative to Salesforce

An online repository of infographics

NEW QUESTION 36
Which of these standard deviations is for a curve that has values that are the most spread out away from the average?

NEW QUESTION 37
What is the test called that helps to identify categories that exhibit a pattern outside the overall average?

Null hypothesis test

Significance level test

Critical region test

Chi-square test

T-test

NEW QUESTION 38
Number of queries per user per day

10,000

50,000

1,000

20,000

NEW QUESTION 39
Which chart type is best suited to track progress of sales revenue that is realized versus the target?

Bar chart

Flat gauge

Pivot table

Pie chart

NEW QUESTION 40
CRM Analytics consultant receives a new project from a client that wants to implement CRM Analytics. They do not currently have CRM Analytics but want guidance on how to ensure their users have the correct access.
They have 1,000 users with a small team of three people who will build both datasets and dashboards. An additional 15 people should be able to only create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
Which recommendation should the consultant give the client?

Assign the app permissions “viewer”, “editor”, and “manager” to the three types of roles defined.

Create and assign three new Salesforce profiles according to the three types of roles defined.

Create and assign Salesforce permission sets according to the three types of roles defined.

For a client implementing CRM Analytics with a variety of user roles, creating and assigning Salesforce permission sets is the most flexible and scalable solution. Here’s why:
Flexibility and Customization: Permission sets allow for specific access rights to be compiled and assigned based on user roles without altering their existing profiles.
Scalability: As the organization grows or roles change, permission sets can be easily adjusted or reassigned to accommodate new requirements or users.
Simplified Management: Managing access via permission sets simplifies the administration of user rights, making it easier to ensure that each group has the appropriate level of access.

NEW QUESTION 41
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

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

Topic	Details
Topic 1	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 2	Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.
Topic 3	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 4	Admin Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync dataflows recipes limits.
Topic 5	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.

Exam Dumps CRM-Analytics-and-Einstein-Discovery-Consultant Practice Free Latest Salesforce Practice Tests: https://www.real4dumps.com/CRM-Analytics-and-Einstein-Discovery-Consultant_examcollection.html

2025 Realistic Verified Free Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Questions [Q26-Q41]

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

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