SF-Data-Arch Data Migration Practice Question
During a migration, you discover that the source system has a different date format than the required ISO 8601 format for Salesforce. What is the most efficient way to handle this?
⚠ Common exam trap
Candidates frequently choose to handle formatting inside Salesforce via complex formula fields or triggers rather than cleaning the data upstream.
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
✓
Transform the data using an ETL tool or script before loading it into Salesforce.
Data transformation should ideally occur in the ETL (Extract, Transform, Load) layer before the data reaches Salesforce. By formatting dates during the extraction or transformation process, you ensure that the data conforms to Salesforce requirements before it hits the API. This is more scalable than attempting to force Salesforce to interpret varying formats, which can lead to data loss or import errors during the ingestion process.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use an Apex trigger to format the dates after the records are inserted.
Why it's wrong here
Apex triggers run after data is already in the system. If the date format is incorrect, the initial insert may fail due to validation or parsing errors. Data should always be cleaned and formatted prior to ingestion to ensure the records pass all Salesforce requirements at the moment of entry.
- ✓
Transform the data using an ETL tool or script before loading it into Salesforce.
Why this is correct
Transforming data in the ETL layer is the industry standard for migration. It keeps the Salesforce org clean and prevents errors during ingestion. Using tools such as Informatica, Mulesoft, or custom scripts allows for robust validation and formatting, ensuring the incoming data meets all schema requirements before submission.
- ✗
Update the Salesforce field type to 'Text' to accommodate any date format.
Why it's wrong here
Changing a Date field to a Text field is a poor architectural choice. It prevents the use of Salesforce's built-in date functions, such as sorting, filtering by date ranges, or using date-based reports. This compromises the analytical value of the data and ignores the purpose of using a structured database.
- ✗
Manually update the records in the Salesforce UI after the migration completes.
Why it's wrong here
Manual updates for millions of records are not feasible or scalable. This approach is prone to human error, incredibly time-consuming, and does not provide a repeatable process. Automated data transformation is necessary to ensure the integrity and accuracy of the historical data within the Salesforce environment.
About these practice questions
This SF-Data-Arch question is part of Courseiva's 222-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam 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.