CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT GUIDE TORRENT: SALESFORCE CERTIFIED CRM ANALYTICS AND EINSTEIN DISCOVERY CONSULTANT - CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT EXAM PREP - PASS-FOR-SURE CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT

CRM-Analytics-and-Einstein-Discovery-Consultant Guide Torrent: Salesforce Certified CRM Analytics and Einstein Discovery Consultant - CRM-Analytics-and-Einstein-Discovery-Consultant Exam Prep - Pass-for-sure CRM-Analytics-and-Einstein-Discovery-Consultant

CRM-Analytics-and-Einstein-Discovery-Consultant Guide Torrent: Salesforce Certified CRM Analytics and Einstein Discovery Consultant - CRM-Analytics-and-Einstein-Discovery-Consultant Exam Prep - Pass-for-sure CRM-Analytics-and-Einstein-Discovery-Consultant

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

TopicDetails
Topic 1
  • 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 2
  • 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 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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q60-Q65):

NEW QUESTION # 60
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 Account 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 Opportunity Name as the partition and Y-M-W as the Date Cols

Answer: A

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 # 61
A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.
What should the consultant use to complete the migration?

  • A. Analytics dashboard connector
  • B. Change sets
  • C. Analytics External Data API

Answer: B


NEW QUESTION # 62
Refer to the exhibit.

Universal Containers has a dashboard for Sales Managers to visualize the YoY Growth of their customers- The formula used is: YoY = [(This Year - Last Year) / Last Year] % Based on the graphic, when there is no account in the Last Year column, the YoY Growth shows null results. The Sales Managers want to replace it with 100% value.
What is the correct function to use?

  • A. coalesce()
  • B. number_to_string()
  • C. substr()
  • D. replace()

Answer: A


NEW QUESTION # 63
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

  • A. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
  • B. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
  • C. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
  • D. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.

Answer: B


NEW QUESTION # 64
An Einstein Analytics team reports that when they start their dataflow it runs successfully with no errors or warnings, but one of the fields does not return values when it is queried.
What can be the origin of this issue?

  • A. The ""Security User Profile" does not have access to the field.
  • B. The user who runs the dataflow does not have access to the field.
  • C. The "Integration User Profile" does not have access to the field.
  • D. The field does not contain any data in Salesforce.

Answer: D


NEW QUESTION # 65
......

This Salesforce Certified CRM Analytics and Einstein Discovery Consultant (CRM-Analytics-and-Einstein-Discovery-Consultant) certification is a valuable credential that is designed to validate your expertise all over the world. After successfully competition of CRM-Analytics-and-Einstein-Discovery-Consultant exam you can gain several personal and professional benefits. All these Salesforce Certified CRM Analytics and Einstein Discovery Consultant (CRM-Analytics-and-Einstein-Discovery-Consultant) certification exam benefits will not only prove your skills but also assist you to put your career on the right track and achieve your career objectives in a short time period.

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