Salesforce Certified Data 360 Consultant (Data-Con-101) - Data-Cloud-Consultant Exam Practice Test

A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing. What should a Data 360 Consultant recommend in this scenario?

A customer has multiple data sources and needs to match and reconcile data about individuals into a single unified profile. Which feature should the Data 360 Consultant recommend for the customer?

What is the minimum requirement needed when using the Visual Insights Builder to create a calculated insight?

A Data 360 Consultant needs to provide real- time, multidimensional analytics for a derived insight, " Net Profit " , to be used within Tableau Next. The requirements specify that the metrics must be as up to date as possible while allowing users to dynamically filter by region, period, and product category. Which approach should the consultant take?

Cumulus Financial needs to create a composite key on an incoming data source that combines the fields Customer Region and Customer Identifier. Which formula function should a Data 360 Consultant use to create a composite key when a primary key is not available in a data stream?

A marketer needs to segment customers based on their Lifetime Loyalty Points. This requires summing all point-based transactions from a historical ledger brought in from their data lake along with a Commerce Cloud data stream. Which tool should the marketer use?

When reporting on calculated insights in Salesforce, what is a critical limitation a Data 360 Consultant must keep in mind regarding data freshness?

When preparing to build a predictive AI model in Einstein Studio using Data 360 data, which step is essential to ensure the model produces ethical and unbiased results?

A retail company wants a dashboard to display " Top 10 Trending Products " based on product page views over the last 24 hours. The company typically has over 500 million engagements a week. The requirements specify that the maximum latency for data freshness is 15 minutes and the dashboard must load with minimal load times for executive users. Which architectural component should the Data 360 Consultant use to meet these performance and scale requirements?

Data 360 receives a nightly file of all ecommerce transactions from the previous day. Several segments and activations depend upon calculated insights from the updated data in order to maintain accuracy in the customer ' s scheduled campaign messages. What should the Data 360 Consultant do to ensure the ecommerce data is ready for use for each of the scheduled activations?