AI0-001 AI Infrastructure and Technologies Practice Question
A data engineering team is designing a data pipeline to process streaming sensor data and feed it into an ML model for anomaly detection. Which THREE components are essential for this pipeline?
⚠ Common exam trap
CompTIA often tests the distinction between batch and streaming technologies, and the trap here is that candidates confuse Airflow's scheduling capability with real-time streaming orchestration, or assume Snowflake can act as a streaming sink when it is fundamentally a batch-oriented warehouse.
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
✓
Amazon S3 as a data lake for storing raw sensor data
Amazon S3 is essential as a data lake for storing raw sensor data because it provides durable, scalable, and cost-effective object storage that can serve as a central repository for streaming data before and after processing. In a streaming pipeline, raw data must be persisted for reprocessing, historical analysis, and compliance, and S3's integration with Apache Spark and Kafka makes it a natural landing zone for sensor data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Apache Airflow for scheduling recurring batch jobs
Why it's wrong here
Airflow is for orchestrating batch workflows, not for real-time streaming ingestion or processing.
- ✓
Amazon S3 as a data lake for storing raw sensor data
Why this is correct
S3 is a scalable object store that can serve as a data lake for raw sensor data, accessible for both streaming and batch processing.
- ✗
Snowflake as a real-time streaming destination
Why it's wrong here
Snowflake is a cloud data warehouse optimized for analytical queries on structured data, not designed for real-time streaming ingestion.
- ✓
Apache Kafka for ingesting streaming sensor data
Why this is correct
Kafka is a distributed streaming platform designed for high-throughput, fault-tolerant data ingestion.
- ✓
Apache Spark Structured Streaming for real-time processing
Why this is correct
Spark Structured Streaming allows real-time processing of streaming data with ML integration.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
About these practice questions
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JA
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.