SF-Data-Arch Data Governance Practice Question
A Data Architect is tasked with ensuring Data Lifecycle Management is governed. Which lifecycle stage should include a requirement for automated data archiving?
⚠ Common exam trap
Candidates often confuse the 'Archiving' stage with 'Data Storage' or 'Database Optimization,' failing to recognize that retention policies specifically dictate the timing and conditions for moving data to cold storage.
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
✓
Data Retention.
The 'Retention' or 'Disposition' phase is where archiving is most critical. As data ages, its value decreases, while storage costs and security risks remain. By governing this stage, the architect ensures that older data is moved to cheaper, secure storage (archiving) rather than being deleted or kept in active production tables, which optimizes system performance and maintains compliance with storage policies.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Data Creation.
Why it's wrong here
Archiving during creation is illogical as the data is actively being used. The goal of creation governance is to ensure that data is captured accurately and with all required metadata. Archiving at this stage would prevent the data from being available to users, rendering it useless for business operations.
- ✗
Data Usage.
Why it's wrong here
Data usage involves reading and updating records. Governing the usage stage ensures that access is controlled and that the data remains accurate. Archiving during active usage would disrupt business processes and prevent users from accessing the information they need to perform their daily tasks, creating unnecessary operational friction.
- ✓
Data Retention.
Why this is correct
Retention governance defines how long data is stored and when it should be moved or archived. Automating this phase ensures that production storage is kept clean and performant. By moving inactive data to archival storage, the organization balances regulatory requirements with the need for a lean, high-performing active Salesforce environment.
- ✗
Data Acquisition.
Why it's wrong here
Acquisition focuses on data ingestion and validation. Governance at this stage is meant to ensure that only quality data enters the system. Archiving during acquisition is a contradiction, as the goal is to integrate data into the system, not to immediately move it out to secondary storage locations.
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.