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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	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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q82-Q87):

NEW QUESTION # 82
In Einstein Discovery:

A. '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.
B. '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.
C. '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.
D. '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

Answer: A,B,D

NEW QUESTION # 83
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. 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 @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
C. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols

Answer: C

Explanation:
To create a weekly forecast per customer, anSAQL (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 onAccount Nameto 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 # 84
A CRM Analytics consultant is asked to make sure the new sales performance dashboard is accessible in the mobile app. They have created multiple mobile layouts for the same dashboard.
How is CRM Analytics expected to perform?

A. If more than one layout is eligible, the one with the most device properties set is used.
B. If more than one layout Is eligible, the one with the most widgets is used.
C. If more than one layout is eligible, the one with the most global filters is used.

Answer: A

NEW QUESTION # 85
The Universal Containers company built three Einstein Discovery stories that they want to use in Salesforce to predict and maximize their revenue per customer. The stories are for every region where they have business: EMEA, AMER, and APAC.
How can a consultant help them deploy the three Einstein models to Salesforce?

A. Segment the account data per region and deploy the appropriate model for each segment.
B. Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.
C. Deploy the same model to all accounts and set the region field as an actionable variable.
D. Segment the account data per region and deploy the same model to all segments.

Answer: A

Explanation:
https://help.salesforce.com/articleView?id=bi_edd_model_deploy_filter.htm&type=5

NEW QUESTION # 86
What's a good way to see which required questions in the configuration wizard don't have default values?

A. Answer only questions that involve custom objects
B. Click "Looks good, next" and look for questions highlighted in red
C. Try each option in the dropdown one at a time
D. Download the app and run a SAQL query on the JSON

Answer: B

NEW QUESTION # 87
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