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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	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.
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	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 5	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.

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q73-Q78):

NEW QUESTION # 73
Number of queries per user per day

A. 1,000
B. 50,000
C. 20,000
D. 10,000

Answer: D

NEW QUESTION # 74
Universal Containers asks a CRM Analytics consultant to review the performance of its local data sync.
After removing unused objects and fields from connected data, what else should the consultant do to improve performance of the data sync?

A. Evaluate connection mode for each connected object.
B. Contact Salesforce Support to increase sync speed.
C. Enable fast sync in analytics settings.

Answer: A

Explanation:
To improve the performance of local data sync in Universal Containers, evaluating the connection mode for each connected object is a practical approach. Here's the rationale:
Optimization of Resources: Different connection modes (e.g., Full Sync, Incremental Sync) use different amounts of resources. Choosing the right mode for each object based on how frequently its data changes can optimize the sync process and reduce load times.
Efficient Data Handling: By tailoring the connection mode to the needs of specific data objects, the overall efficiency of the data sync process is improved, leading to faster refresh rates and more timely data availability.
Cost and Performance Balance: Evaluating and selecting the appropriate connection mode can also help balance performance needs with cost constraints, as some modes may consume more compute resources than others.

NEW QUESTION # 75
The CRM Analytics consultant at AW Computing is designing dashboard. They want to add a rate between two metrics and display it in a new chart. They are finding that the new chart seems to prejudice the design of other charts.
What should the consultant do to resolve this?

A. Create a component with the rate chart and insert it in one of the tooltips.
B. Adjust the dashboard widgets to accommodate the rate chart.
C. Clone the dashboard and replace one of the charts with the new rate chart.

Answer: A

NEW QUESTION # 76
Universal Containers' CRM Analytics team is building a dashboard with two widgets, and the queries use different datasets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Query_pie_3" and grouped by the dimension "Type" The team wants any selection in the List widget to filter the Donut chart and vice vers a. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?

A. Use "Connect Data Sources" to create a mapping of the two fields from the two datasets.
B. Set up a result and selection based interaction for each query.
C. Create a selection based Interaction and apply It to the query of "Query ple 3".

Answer: B

NEW QUESTION # 77
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?

A. It only appears for outcomes that do not have an explanation.
B. It shows the difference between the predicted outcome and the observed outcome.
C. It should always be 0 or the model should not be used.
D. It displays the difference between the analyzed data and the data not reviewed.

Answer: B

NEW QUESTION # 78
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