Data 360 Consultant Data Ingestion And Modeling Practice Question
What is the primary difference between batch ingestion and streaming ingestion in Data Cloud?
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
✓
Batch ingestion processes data at scheduled intervals, whereas streaming ingestion processes events in near real-time.
Batch ingestion processes data at scheduled intervals in bulk, while streaming ingestion processes records in real-time or near real-time as they arrive.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Batch ingestion is only used for Salesforce CRM, while streaming is for external systems.
Why it's wrong here
Both batch and streaming can be used across various connector types.
- ✗
Batch ingestion supports CSV files, whereas streaming ingestion only supports PDF files.
Why it's wrong here
Streaming ingestion processes JSON payloads via API.
- ✗
Streaming ingestion does not require data mapping, whereas batching does.
Why it's wrong here
All data streams require mapping regardless of ingestion type.
- ✓
Batch ingestion processes data at scheduled intervals, whereas streaming ingestion processes events in near real-time.
Why this is correct
Batch runs on schedules (e.g., hourly, daily), while streaming handles continuous real-time data flows.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Salesforce exam blueprint
This Data 360 Consultant 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 Data 360 Consultant exam.