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Tag Archives: CRM-Analytics-and-Einstein-Discovery-Consultant valid study questions free download

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  2. Tag Archives: CRM-Analytics-and-Einstein-Discovery-Consultant valid study questions free download

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[Q49-Q67] Get instant access to CRM-Analytics-and-Einstein-Discovery-Consultant Practice Tests 2025 Free Updated Today!

[Q49-Q67] Get instant access to CRM-Analytics-and-Einstein-Discovery-Consultant Practice Tests 2025 Free Updated Today!

January 21, 2025 adminCRM-Analytics-and-Einstein-Discovery-Consultant, SalesforceCRM-Analytics-and-Einstein-Discovery-Consultant exam study solutions, CRM-Analytics-and-Einstein-Discovery-Consultant key concepts, CRM-Analytics-and-Einstein-Discovery-Consultant latest test dumps free, CRM-Analytics-and-Einstein-Discovery-Consultant new braindumps, CRM-Analytics-and-Einstein-Discovery-Consultant new exam notes, CRM-Analytics-and-Einstein-Discovery-Consultant valid practice exam online, CRM-Analytics-and-Einstein-Discovery-Consultant valid study questions free downloadLeave a Comment on [Q49-Q67] Get instant access to CRM-Analytics-and-Einstein-Discovery-Consultant Practice Tests 2025 Free Updated Today!

Get instant access to CRM-Analytics-and-Einstein-Discovery-Consultant Practice Tests 2025 Free Updated Today!

Welcome to download the newest PassLeader CRM-Analytics-and-Einstein-Discovery-Consultant PDF dumps ( 117 Q&As)

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
  • recipes limits.
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
  • 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 4
  • 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 5
  • 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.

 

NO.49 A consultant built a Tableau CRM dashboard for a shipping company. The consultant enabled data sync (replication) to increase the speed to datasets refreshing.
How often will the data on the dashboard be refreshed?

 
 
 
 

NO.50 A CRM Analytics consultant wants to move a dataflow to a recipe in order to use aggregation nodes. To do so, they use the Dataflow to Recipe convertor and the recipe runs successfully.
However, they are unable to see the aggregated data in the dataset.
What is causing the issue?

 
 
 

NO.51 A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.
How can a dataflow be used to calculate the average time an opportunity spends in each stage?

 
 
 
 
https://help.salesforce.com/articleView?id=bi_integrate_computeRelative_transformation_operation.htm

NO.52 What does Einstein Analytics check when a user submits a query against a dataset?

 
 
 
 

NO.53 Which set of statements generates monthly amount on a cumulative basis annually?

 
 
 
 

NO.54 What are two benefits of designing using the “Progressive Disclosure” principle? Choose 2 answers

 
 
 
 
https://developer.salesforce.com/blogs/developer-relations/2017/04/lightning-components-performance-best-practices.html

NO.55 What permissions are necessary for someone to edit the XMD?

 
 
 
 

NO.56 Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error page once the dashboard is opened.
How should the consultant solve this issue?

 
 
 

NO.57 How many external files can be uploaded to Einstein Analytics on rolling 24 hour basis?

 
 
 
 

NO.58 A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including:
recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at 6:00 AM EST.
How should the consultant proceed?

 
 
 

NO.59 Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.
An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.
To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing ‘Account’ dataset as follows:

This, however, does not seem to be working as expected.
What is causing the issue?

 
 
 
The issue with the security predicate not functioning as expected likely stems from a permissions issue related to the custom field Demographic__c on the User object. Here’s a detailed explanation:
Field-Level Security: If the sales reps do not have access to the Demographic__c field, the security predicate which references this field cannot execute properly as the system cannot evaluate the predicate without accessing the field.
Permission Settings: Ensuring that the sales reps have the necessary permissions to view and use the Demographic__c field is crucial for the security predicate to function correctly.
Data Visibility: The security model in CRM Analytics relies heavily on the underlying data permissions in Salesforce. If these permissions are not correctly configured, the expected data visibility through CRM Analytics will not be achieved.

NO.60 What does a configuration wizard do?

 
 
 
 
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_in_action

NO.61 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?

 
 
 
 

NO.62 A consultant has created a story to maximize the daily sales quantity of consumer products in stores. After creating a story, the consulting is presented with this data alert by Einstein Discovery (see graphic).
What are two appropriate actions to take?
Choose 2 answers

 
 
 
 

NO.63 After loading data to Einstein Discovery and creating a story, the client asks the Einstein Consultant to explain the “Unexplained Bar” in the “Why it Happened” chart.
Which explanation is correct?

 
 
 
 

NO.64 Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?

 
 
 
For Cloud Kicks’ requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here’s the rationale for choosing this approach:
Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.

NO.65 An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

 
 
 

NO.66 Which Einstein Analytics asset or assets are created when using an App Template to create an app?

 
 
 
 

NO.67 Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to next steps?

 
 
 
 

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Jan-2025 Latest PrepAwayExam CRM-Analytics-and-Einstein-Discovery-Consultant Exam Dumps with PDF and Exam Engine: https://www.prepawayexam.com/Salesforce/braindumps.CRM-Analytics-and-Einstein-Discovery-Consultant.ete.file.html

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