Free PDF Quiz Efficient CRM-Analytics-and-Einstein-Discovery-Consultant - Test Salesforce Certified CRM Analytics and Einstein Discovery Consultant Cram

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q43-Q48):

NEW QUESTION # 43
Salesforce Analytics is...

A. A tool for analyzing surf reports and forecasts
B. An application built on top of Salesforce
C. An online repository of infographics
D. A CRM alternative to Salesforce

Answer: B

NEW QUESTION # 44
consultant is reviewing a model that is set to maximize the daily sales quantity of consumer products in stores, and they see this recommendation.

Which action should the consultant take?

A. Verifyclient expectations that Store is a strong predictor for daily sales quantity.
B. Ignore alert; the explanation of variation is only 35%, which is below 50%,
C. Remove the Store field from the model definition, because that is the recommended action.

Answer: A

Explanation:
Upon reviewing the data model and noticing the high correlation alert between 'Store' and daily sales quantity, the appropriate action is to verify with the client their expectations regarding the influence of the Store field on daily sales. Here's the rationale:
* Understanding the Role of 'Store' in the Model: Before making any changes to the model, it's crucial to understand whether the 'Store' field is expected to be a strong predictor based on the business context. If the client expects that different stores inherently have different sales volumes due to factors like location, size, or customer base, this correlation may be both meaningful and desired.
* Potential Data Leakage: High correlation warnings can sometimes indicate data leakage, where a predictor (like 'Store') might inadvertently include information about the outcome variable (daily sales quantity). It's essential to verify whether this correlation makes sense logically or if it's skewing the model predictions.
* Client Consultation: Consulting with the client helps ensure that any modeling decisions align with their business knowledge and expectations. It's about validating the model against real-world expectations and ensuring it remains a useful tool for decision-making.
By taking these steps, the consultant not only adheres to best practices in data science by validating model inputs and their implications but also ensures that the model aligns with the client's business strategies and operational realities.

NEW QUESTION # 45
A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.
Which two actions must be performed when writing the SAQL query?
Choose 2 answers

A. Investigate which prediction model is best for the data available.
B. Include the fill SAQL statement to fill any missing dates.
C. Determine if the timeseries required parameter, prediction interval, should be 80 or 95.
D. Validate that there is enough data in the dataset to make a good prediction.

Answer: B,D

NEW QUESTION # 46
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?

A. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".
B. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.
C. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".

Answer: C

NEW QUESTION # 47
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

A. Timeseries Forecasting
B. Cluster
C. Predict Missing Values

Answer: B

NEW QUESTION # 48
......

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Free PDF Quiz Efficient CRM-Analytics-and-Einstein-Discovery-Consultant - Test Salesforce Certified CRM Analytics and Einstein Discovery Consultant Cram

100% Pass CRM-Analytics-and-Einstein-Discovery-Consultant Test Cram - Salesforce Certified CRM Analytics and Einstein Discovery Consultant Unparalleled Certification Book Torrent

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q43-Q48):

Fast Download Test CRM-Analytics-and-Einstein-Discovery-Consultant Cram - How to Download for Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Certification Book Torrent

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