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

Topic
Details

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

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.

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

NEW QUESTION # 40
CRM Analytics team plans to enable data sync.
Which limit specific to data syne should the team consider before enabling the feature because it may impact existing jobs?

A. Maximum number of data sync jobs cannot exceed the limit
B. Maximum number of Full Sync connection mode enabled
C. Maximum number of objects that can be enabled for data sync

Answer: C

Explanation:
In CRM Analytics, when planning to enable data sync, one of the critical considerations is the limit on the number of objects that can be enabled for data sync. This limit is essential because it determines how many different Salesforce objects (like Accounts, Opportunities, etc.) can be synchronized concurrently. Exceeding this limit could impact the performance of existing sync jobs or prevent new sync jobs from being configured.
Key points to consider include:
Performance Impact: Syncing too many objects simultaneously can lead to increased load times and potential delays in data availability, impacting users' ability to access up-to-date information.
Resource Allocation: CRM Analytics allocates resources based on the number of objects being synchronized, and there are practical limits to these resources to ensure stable and efficient operation.
For a more detailed understanding and to manage these limits effectively, Salesforce provides documentation and guidelines within the CRM Analytics resources, which can be further explored in the Trailhead modules specifically focusing on data management and synchronization practices.

NEW QUESTION # 41
Which of these standard deviations is for a curve that has values that are the most spread out away from the average?

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

Answer: B

NEW QUESTION # 42
Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?

A. Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes
B. Analytics REST API used in conjunction with dataflows/recipes.
C. CRM Analytics Connector for Excel used in conjunction with dataflows/recipes

Answer: A

Explanation:
CRM Analytics provides out-of-the-box connectors for integrating external data sources like Microsoft Azure SQL Data Warehouse. To meet the requirement of daily automated data loading, the Microsoft Azure SQL Data Warehouse Connector can be used to pull data into CRM Analytics. Once the data is imported, dataflows or recipes can be used to transform and merge this data with the organization's Salesforce data. Recipes allow for merging datasets and applying any necessary transformations, ensuring the data from Azure is combined and transformed appropriately before analysis.
Reference: CRM Analytics Connectors and Dataflows

NEW QUESTION # 43
Universal Containers has a dashboard for sales managers. They need to visualize the percentage of their opportunities in the pipeline in a Gauge chart. They want to customize the chart to keep track if they are below or beyond the target.

Which widget parameters should a consultant use?

A. Range Values, Angle, Conditional Formatting
B. Reference Line, Markers, Conditional Formatting
C. Reference Line, Angle, Range Values

Answer: B

Explanation:
In the scenario described, the sales managers at Universal Containers require a Gauge chart that not only shows the current percentage of opportunities in their pipeline but also indicates whether they arebelow or beyond their set targets. The appropriate widget parameters to achieve this visualization in Salesforce CRM Analytics (formerly known as Einstein Analytics) are:
* Reference Line: This parameter is crucial for defining a specific target value on the gauge chart. It visually marks a point that represents the target goal, providing an immediate visual cue as to whether the current percentage is below or above this point.
* Markers: Markers are used to represent and highlight specific values on the gauge chart. They can be utilized to emphasize the current percentage level of the pipeline, making it instantly visible how close or far the current value is from the reference line or target.
* Conditional Formatting: This feature allows the chart to change color or style based on whether the current values meet, exceed, or fall below the target. It is a critical visual tool for quickly communicating performance against targets. Conditional formatting can be set to alter the appearance of the gauge's fill color based on whether the values are above, equal to, or below the reference line, thereby providing an intuitive visual representation of performance relative to targets.
The combination of these three parameters enables a highly effective visualization for sales managers to monitor their performance against key metrics and targets directly on their dashboards. This setup is aligned with Salesforce's best practices for creating meaningful and actionable insights within CRM dashboards, ensuring that users can easily interpret and react to the data presented.
For more details on configuring these parameters, you can refer to Salesforce documentation and specific Trailhead modules that cover dashboard creation and customization:
* Wave Analytics Explorer
* Building Lenses, Dashboards, and Apps in CRM Analytics
These resources provide in-depth training and examples to help users effectively use Salesforce CRM Analytics for a wide range of data visualization needs.

NEW QUESTION # 44
What kind of org should you use for checking challenges when you do Trailhead modules about Analytics?

A. A Developer Edition org, because it's a free, safe environment where you can try things out
B. A higher education org, because analytics requires advanced math
C. An enterprise org, because that type of org is typically used by large companies
D. A trial org, because you don't need to save anything

Answer: A

NEW QUESTION # 45
......

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