PL-600 · Question #78
Case Study 1 - First Up Consulting Background First Up Consulting recruits information technology (IT) workers for temporary or permanent positions at client companies. The company operates offices…
The correct answer is B. Virtual tables. Virtual tables are the correct recommendation because they allow Power Platform (Dataverse) to surface data from an external source - in this case, the on-premises system holding historical job placement data - without migrating or duplicating that data. The case study…
Question
Options
- APower Virtual Agents chatbots
- BVirtual tables
- CPower BI
- DPower Automate flows
How the community answered
(34 responses)- A15% (5)
- B74% (25)
- C3% (1)
- D9% (3)
Explanation
Virtual tables are the correct recommendation because they allow Power Platform (Dataverse) to surface data from an external source - in this case, the on-premises system holding historical job placement data - without migrating or duplicating that data. The case study explicitly states that historical records will not be migrated to the new solution, making virtual tables the ideal bridge: they present external data as if it were native Dataverse records, directly addressable within Power Apps forms and views.
Why the distractors are wrong:
- A. Power Virtual Agents - these build chatbots for user interaction; they have no native capability to expose or integrate external database records into operational app views.
- C. Power BI - this is a reporting and visualization tool, useful for dashboards (required elsewhere in this case), but it cannot make external data accessible as editable or viewable records within a Power App operational context.
- D. Power Automate flows - flows can call external APIs or move data reactively, but they are an automation engine, not a data access layer; they don't solve the structural problem of making read-accessible historical records available natively within Dataverse.
Memory tip: Think of virtual tables as a two-way mirror - Power Platform sees the external data as its own, but the data never actually moves. Whenever a case study says "data stays in the old system but must be accessible in the new solution," virtual tables are almost always the answer.
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