SF-Data-Arch Master Data Management Practice Question
A company is planning to migrate legacy customer data into Salesforce. Before the load, the data architect recommends data profiling. Why is this activity mandatory for a successful MDM project?
⚠ Common exam trap
Candidates often assume data profiling is an optional step that can be skipped to speed up the migration timeline, failing to realize it is essential for identifying hidden data quality risks.
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
✓
It identifies patterns, anomalies, and quality issues within the legacy data set.
Data profiling uncovers hidden quality issues, such as inconsistent formatting, missing values, or unexpected dependencies. By understanding the true state of the source data, the architect can design effective cleansing and transformation rules. Failing to profile leads to 'garbage in, garbage out,' where inaccurate data undermines the value of the new Salesforce implementation and causes significant post-migration remediation costs and user frustration.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It ensures that the Salesforce data model is fully compatible with the legacy SQL schema.
Why it's wrong here
Schema compatibility is a structural design task, not a profiling task. While profiling identifies data content, it does not address the fundamental differences in relational structures or metadata definitions between legacy databases and the Salesforce object model, which must be mapped separately during the integration design phase.
- ✓
It identifies patterns, anomalies, and quality issues within the legacy data set.
Why this is correct
Profiling tools analyze columns to discover frequency distributions, null counts, and data format variances. This insight allows architects to create accurate data cleansing logic, ensuring that the migrated data is clean, standardized, and ready for use in Salesforce, which is vital for maintaining the integrity of the MDM strategy.
- ✗
It increases the speed of the data load by compressing the CSV files before import.
Why it's wrong here
Data profiling has no impact on file size or compression for import speeds. Its purpose is purely analytical, focused on understanding the content and structure of the data rather than optimizing the technical infrastructure or the file formats used for the migration process itself.
- ✗
It automatically maps all legacy fields to the appropriate Salesforce fields without human intervention.
Why it's wrong here
Profiling does not replace the logical mapping process. Mapping requires a deep understanding of business requirements and CRM configuration. While profiling highlights data characteristics, it cannot infer business context or decide which specific legacy field should correspond to a target field in the new Salesforce environment.
About these practice questions
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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.