SF-Data-Arch Salesforce Data Management Practice Question
A company requires real-time reporting on millions of records. Which architecture enables this while minimizing impact on production database performance?
⚠ Common exam trap
Candidates often suggest custom code or batch processing to move historical data into Salesforce, ignoring the performance impact on local storage and the efficiency of virtualized external data access.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Salesforce Connect for virtualized access.
Salesforce Connect with External Objects is the ideal solution for large-scale data that shouldn't live directly inside Salesforce. It fetches data in real-time from external sources without consuming Salesforce storage or affecting local database performance. This pattern is critical for architects managing massive datasets, as it keeps the core Salesforce CRM instance light and performant while still providing users with seamless access to historical or external financial data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Import all data into custom Salesforce objects.
Why it's wrong here
Importing millions of records into Salesforce objects will hit storage limits, increase costs, and degrade query performance significantly. The database will struggle with full-table scans, and reporting performance will suffer, creating a poor user experience. This approach is highly discouraged for high-volume data that is not actively needed for CRM processes.
- ✓
Use Salesforce Connect for virtualized access.
Why this is correct
Salesforce Connect allows users to view external data in real-time without physically storing it in Salesforce. This offloads the data footprint to the external system, maintaining Salesforce performance and avoiding storage limits. It is an excellent architectural pattern for large datasets that need to be queried but not necessarily updated.
- ✗
Copy all data into the Salesforce Big Object.
Why it's wrong here
While Big Objects handle scale, they are not designed for real-time reporting in the same way as standard reports and dashboards. Querying millions of records in a Big Object requires specific SOQL syntax and does not offer the same user-friendly reporting interface as standard objects, making this an suboptimal solution.
- ✗
Use platform events to stream data records.
Why it's wrong here
Platform Events are for event-driven messaging, not for storing or querying large historical datasets. They are meant for real-time state changes and triggers, not for long-term data warehousing or reporting. Attempting to use them for this purpose would lead to architectural failure and massive overhead for the messaging bus.
About these practice questions
Courseiva writes every SF-Data-Arch question from scratch — 222 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Salesforce exam blueprint
This SF-Data-Arch practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SF-Data-Arch exam.