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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Reliable Test Braindumps | Exam CRM-Analytics-and-Einstein-Discovery-Consultant Preparation

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

Topic
Details

Topic 1

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 2

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 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.

Topic 4

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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q40-Q45):

NEW QUESTION # 40
Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first 6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.

How should a CRM Analytics consultant help UC build this lens?

A. Use a "fill" statement in SAQL query with a "partition" parameter.
B. Use a "Compare Table" and use the "Show Totals" option.
C. Use a "Compare Table" and add a column leveraging the "Running Total" function.

Answer: C

NEW QUESTION # 41
A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?

A. Create a second dashboard and move the table to this new dashboard.
B. Create a Visualforce page and display a list view of the Opportunities on this new page.
C. Create a second page on the dashboard and move the table to this new page.

Answer: C

Explanation:
In CRM Analytics, performance issues often arise when large tables or datasets are loaded on a single dashboard page, especially when the table contains a lot of data, as in the case of the Opportunities Table. One way to improve performance is to split the dashboard into multiple pages, moving resource-intensive components (like large tables) to a secondary page. By creating a second page and relocating the Opportunities Table, the initial dashboard page will load faster, and users can still access the table by navigating to the second page when needed. This practice ensures better overall performance and user experience.
Reference: CRM Analytics Dashboard Optimization

NEW QUESTION # 42
How do you open the Actions menu for a particular case shown in a dashboard?

A. Double-click the case number in the Actions widget
B. Hover over the case number column of the values table widget and click the arrow that appears
C. Simply @mention the case manager for that segment
D. Click the Actions bar from a bubble chart

Answer: B

NEW QUESTION # 43
Universal Containers' CRM Analytics team is building a dashboard with two widgets.
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 "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings/interactions so any selection in the List widget will filter the Donut chart. The queries use different datasets, and users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding/interaction?

Answer: C

Explanation:
For the given requirement where a selection in a list widget needs to filter data displayed on a donut chart, and considering the list allows for multi-selection of the 'Type', the correct binding/interaction would be to use a syntax that captures the multi-select aspect and passes it appropriately. The right syntax, as indicated in Option A, looks like this:
"{{column(Type_2.selection, ["Type"]).asObject()}}"
This syntax ensures:
Multi-selection: The column() function in combination with .asObject() ensures that multiple selected values from the 'Type_2' query can be passed as an object, which the donut chart can utilize to filter its content.
Correct Data Type Handling: By using .asObject(), the binding ensures the data passed between widgets maintains the correct structure expected by the CRM Analytics dashboard, thereby ensuring accurate filtering.

NEW QUESTION # 44
Concurrent queries per user?

A. 0
B. 1
C. 2
D. 3

Answer: B

NEW QUESTION # 45
......

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