SF-Data-Arch Salesforce Data Management Practice Question
Exhibit
{
"jobType": "BigObjectLoad",
"operation": "insert",
"contentType": "CSV",
"object": "Customer_Interactions__b"
}Refer to the exhibit. An architect is reviewing a JSON configuration for a data load into a Big Object. Which statement correctly describes a requirement for successfully loading data into this specific object type?
⚠ Common exam trap
Candidates often assume Big Objects behave like standard objects and can be updated partially. They fail to realize that Big Objects have rigid index requirements for data insertion.
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
✓
All fields defined in the Big Object's index must be present in the CSV.
Big Objects are designed for massive data storage but have unique requirements compared to standard objects. When inserting data into a Big Object, the CSV file must include all fields that are defined in the Big Object's custom index. This index is required for querying and uniquely identifying records within the Big Object store.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The Bulk API 2.0 must be used as it is the only API supporting Big Objects.
Why it's wrong here
Big Objects are actually supported by the standard Bulk API and the REST API, not exclusively by Bulk API 2.0. In fact, many high-volume ingestion patterns for Big Objects utilize the Bulk API (v1) for its granular control over batch processing and monitoring of large datasets.
- ✓
All fields defined in the Big Object's index must be present in the CSV.
Why this is correct
Big Objects require a custom index to function, and this index is what defines the uniqueness of a record. During an insert operation, every field that makes up that index must be provided in the data source to ensure the record can be correctly placed and retrieved from storage.
- ✗
Triggers on the Big Object will execute for each record inserted.
Why it's wrong here
Big Objects do not support standard Salesforce features like Apex Triggers, Workflow Rules, or Process Builder. They are strictly for high-volume storage and retrieval. Any data validation or transformation must be performed before the data is sent to Salesforce for ingestion into the Big Object.
- ✗
The operation must be set to 'upsert' to avoid duplicate index entries.
Why it's wrong here
The 'upsert' operation is not supported for Big Objects. Big Objects only support the 'insert' operation. If you insert a record with the same index values as an existing record, it simply overwrites the previous data, acting as an implicit upsert without the need for a specific operation.
About these practice questions
One of 222 original SF-Data-Arch practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.