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

Topic	Details
Topic 1	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 2	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.
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 recipe limits.
Topic 5	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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q91-Q96):

NEW QUESTION # 91
What are predictive insights good for?

A. Choosing between all possible outcomes for a single variable
B. Predicting outcomes that you don't actually have the right data for
C. Exploring your existing data to see what already happened
D. Drilling down into the underlying reasons behind a prediction

Answer: D

NEW QUESTION # 92
What can you do on the Edit Field Attributes page when uploading a CSV file to Analytics?

A. Change a field's format
B. Change a field's name
C. All of the above
D. Change a field's type

Answer: C

NEW QUESTION # 93
CRM Analytics uses permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow/recipe job runs.
Why should a consultant be cautious while syncing objects and fields containing sensitive data?

A. The Integration User has Create and Modify All Data access.
B. The Integration User has View All Data access.
C. The Integration User has Modify All Data access.

Answer: B

NEW QUESTION # 94
Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?

A. Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes
B. CRM Analytics Connector for Excel used in conjunction with dataflows/recipes
C. Analytics REST API used in conjunction with dataflows/recipes.

Answer: A

NEW QUESTION # 95
An CRM Analytics consultant is working with Ursa Major Solar to build a dashboard to understand customer renewals. Each subscription is captured as a Closed Won Opportunity within Salesforce and a single Account should only have one active subscription. The consultant notices the Opportunity record does NOT specify whether it is a renewal or a net new subscription.
Which data transformation should the consultant use to determine if a subscription is new or a renewal?

A. Flatten
B. Custom Formula
C. Custom Multiple row formula

Answer: B

Explanation:
To determine whether a subscription is new or a renewal from the Opportunity records in Salesforce, the consultant should utilize a Custom Formula in the data transformation process. Here's the rationale:
Custom Formula Usage: By employing a custom formula, the consultant can create a logical expression that checks the historical data associated with each account. If an account has previous closed-won opportunities, any new opportunities can be labeled as renewals; otherwise, they are considered new subscriptions.
Data Insight: This method provides a straightforward way to derive new insights (new vs. renewal) directly from existing data without altering the data structure itself, making it a non-invasive and efficient solution.
Implementation: The custom formula can be applied in a recipe or directly within a dataflow in CRM Analytics, offering flexibility in how and where the transformation is executed.

NEW QUESTION # 96
......

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2025 CRM-Analytics-and-Einstein-Discovery-Consultant–100% Free Practice Exams | the Best CRM-Analytics-and-Einstein-Discovery-Consultant New Dumps

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

Practice CRM-Analytics-and-Einstein-Discovery-Consultant Exams | 100% Free Useful Salesforce Certified CRM Analytics and Einstein Discovery Consultant New Dumps

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q91-Q96):

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