AI0-001 AI Infrastructure and Technologies Practice Question
A data engineer is building a pipeline to process streaming clickstream data and feed it into a real-time ML feature store. Which tool is BEST suited for the streaming 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
✓
Apache Kafka
Apache Kafka is the industry standard for high-throughput, fault-tolerant streaming data ingestion. It can handle real-time clickstream data and integrate with feature stores.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon S3
Why it's wrong here
S3 is object storage, not a streaming platform; it's used for storage, not ingestion.
- ✗
Apache Airflow
Why it's wrong here
Airflow is an orchestrator for batch workflows, not a streaming ingestion tool.
- ✗
Apache Spark (batch mode)
Why it's wrong here
Spark batch mode processes data in micro-batches, not true streaming; for real-time, Kafka is better.
- ✓
Apache Kafka
Why this is correct
Kafka provides low-latency, durable streaming, ideal for real-time clickstream ingestion into feature stores.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.