AI0-001 AI Infrastructure and Technologies Practice Question
A company needs to store large volumes of unstructured data (PDFs, images, logs) for future AI model training. The data must be easily accessible by data scientists using Spark and must support cost-effective storage. Which data infrastructure is MOST appropriate?
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 data lake
A data lake stores raw, unstructured data at low cost and integrates with Spark. Data warehouses are for structured, processed data; vector databases are for embeddings.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Snowflake data warehouse
Why it's wrong here
Snowflake is optimized for structured, query-ready data; storing raw unstructured files would be expensive and inefficient.
- ✗
Relational database like Amazon RDS
Why it's wrong here
Relational databases are designed for structured, transactional data; they are not suitable for storing large files.
- ✗
Pinecone vector database
Why it's wrong here
Vector databases store embeddings for similarity search, not raw unstructured data files.
- ✓
Amazon S3 data lake
Why this is correct
S3 is a scalable, low-cost object store for unstructured data; it integrates with Spark and is ideal for a data lake.
About these practice questions
One of 754 original AI0-001 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 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.