AI Associate Data for AI Practice Question
Which method is most suitable for ingesting streaming data from IoT sensors into a data lake?
⚠ Common exam trap
Salesforce often tests the distinction between batch and real-time processing, and the trap here is that candidates may choose batch ingestion (Option B) thinking it is simpler or sufficient, overlooking the fundamental requirement for low-latency streaming in IoT sensor data ingestion.
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
✓
Real-time streaming with Apache Kafka.
Apache Kafka is the most suitable option because it is a distributed streaming platform designed for high-throughput, fault-tolerant, real-time data ingestion. IoT sensors generate continuous, high-velocity data streams, and Kafka's publish-subscribe model allows data to be ingested into a data lake with low latency, ensuring near-real-time availability for analytics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Copying data via FTP.
Why it's wrong here
FTP is batch-oriented and lacks real-time capability.
- ✗
Batch ingestion every 24 hours.
Why it's wrong here
Batch ingestion introduces latency, not suitable for streaming data.
- ✗
Manual upload via web interface.
Why it's wrong here
Manual upload is impractical for continuous sensor data.
- ✓
Real-time streaming with Apache Kafka.
Why this is correct
Kafka provides high-throughput, fault-tolerant streaming for IoT data.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI Associate 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 AI Associate exam.