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Quiz 2025 Valid Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant: Study Salesforce Certified CRM Analytics and Einstein Discovery Consultant Group

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Posted on: 04/22/25

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

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q14-Q19):

NEW QUESTION # 14
Which of the following is true about the Service Analytics Overview dashboard?

  • A. It's a great place to start your analysis.
  • B. All of the above.
  • C. It's available on desktop and mobile.
  • D. It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.
  • E. It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.

Answer: B


NEW QUESTION # 15
A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?

  • A. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.
  • B. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
  • C. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.

Answer: A

Explanation:
For Cloud Kicks' requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger. This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.


NEW QUESTION # 16
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting dat
a. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

  • A. An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols
  • B. An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
  • C. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols

Answer: C

Explanation:
To create a weekly forecast per customer, an SAQL (Salesforce Analytics Query Language) query can be used. The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based on Account Name to ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.


NEW QUESTION # 17
Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

  • A. Cancel this story and redefine the dataset.
  • B. Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.
  • C. Do nothing; they appear to be similar, but there might be differences from the business perspective.
  • D. Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.

Answer: C


NEW QUESTION # 18
What's the best way to describe the template-info.json file?

  • A. It's the boss of the template with all the information needed to create the app.
  • B. It makes sure that the app includes all the right Salesforce data.
  • C. It's a read-only file with all the user documentation for a template.
  • D. It's automatically populated every time you create an app from the template.

Answer: A

Explanation:
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_structure


NEW QUESTION # 19
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