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

Topic
Details

Topic 1

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
recipe limits.

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

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.

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q69-Q74):

NEW QUESTION # 69
In the list of insights, the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variation in the outcome variable.
When you select one variable, what are you comparing?

A. Selected variable with a different variable
B. Selected variable with all story data
C. Selected variable with CLV
D. Selected variable average with the filtered average
E. Selected variable average with the mean

Answer: B

NEW QUESTION # 70
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting dat
a. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

A. An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols
B. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols
C. An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols

Answer: B

Explanation:
To create a weekly forecast per customer, an SAQL (Salesforce Analytics Query Language) query can be used. The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based on Account Name to ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.

NEW QUESTION # 71
Exhibit:

A company wants to create a timeline chart to visualize the evolution of their Closed Won Opportunities. What are the required parameters to build a lens that displays output similar to the image shown?

A. 2 measures, 0-2 groupings if trellis is disabled, or 0-4 groupings if trellis is enabled
B. 1 measure, 1 grouping by a date field, and either 0-1 groupings by a dimension if trellis is disabled, or 0-2 groupings if trellis is enabled
C. 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled
D. 1 measure, 0 groupings if trellis is disabled, or 0-2 groupings if trellis is enabled

Answer: B

NEW QUESTION # 72
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?

A. Select to minimize the outcome variable.
B. Select the option: Are you expecting a whole number greater than or equal to 0?
C. Create five bins of revenues, ranging from Very High Value, high Value, average Value, Low Value, and very Low Value in dataflow.
D. Create five bins or revenue, ranging from very high Value, High Value, Average Value, Low Value, and Very Low Value in data prep.

Answer: B

NEW QUESTION # 73
What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?

A. Remind them that the technology is only as good as the data.
B. Recommend using a visualization tool, like Einstein Analytics, to uncover the details.
C. Advise them that the use case may not be accurate.
D. Highlight that Einstein reduces time to insight, which is much faster than learning from experience.

Answer: A

NEW QUESTION # 74
......

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