CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT TRAINING ONLINE - BRAINDUMP CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT PDF

CRM-Analytics-and-Einstein-Discovery-Consultant Training Online - Braindump CRM-Analytics-and-Einstein-Discovery-Consultant Pdf

CRM-Analytics-and-Einstein-Discovery-Consultant Training Online - Braindump CRM-Analytics-and-Einstein-Discovery-Consultant Pdf

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The Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Certification is a valuable credential in the modern world. The Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant certification exam offers a great opportunity for beginners and experienced professionals to validate their skills and knowledge level. With the one certification Salesforce Certified CRM Analytics and Einstein Discovery Consultant exam you can upgrade your expertise and knowledge.

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
  • 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 3
  • Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.
Topic 4
  • 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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q70-Q75):

NEW QUESTION # 70
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. Remove the Store field from the model definition, because that is the recommended action.
  • C. Ignore alert; the explanation of variation is only 35%, which is below 50%,

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 # 71
A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?

  • A. Aggregate
  • B. Flatten
  • C. Join

Answer: B


NEW QUESTION # 72
A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build.
Which two design considerations should be determined at this time? Choose 2 answers

  • A. Which fonts to use for headers and body text
  • B. Which charts to use to best support the defined goal
  • C. How many charts should be allowed on a single dashboard
  • D. Which colors to use and how to use them

Answer: B,D

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


NEW QUESTION # 73
A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?

  • A. The consultant has set up a dashboard filter condition for data to be visible to system administrators only.
  • B. The consultant has set up/enabled a 'Hide on Error' feature for the dashboard while embedding it.
  • C. The consultant has set up component visibility for the dashboard for system administrators only.

Answer: C

Explanation:
When embedding a CRM Analytics dashboard in a Lightning page using a CRM Analytics Dashboard Component, you must configure the component's visibility settings correctly to ensure that all relevant users have access. In this case, the issue arises because the system administrator can see the dashboard, but the contract manager cannot. The most likely cause is that the consultant has set the component visibility to display only for system administrators, which would prevent the contract manager from seeing the content. To resolve this issue, the consultant must modify the component visibility settings to include both the system administrator and contract manager profiles.
Reference: CRM Analytics and Lightning Components


NEW QUESTION # 74
Max story creations per org per month

  • A. 200 (can purchase more)
  • B. 500 (can purchase more)
  • C. 0
  • D. 1000 (can purchase more)

Answer: B


NEW QUESTION # 75
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