DA0-002 Data Concepts and Environments Practice Question
A company is designing a data pipeline to process streaming data from social media feeds. Which THREE of the following are characteristics of streaming data? (Select THREE).
⚠ Common exam trap
It's easy for candidates to confuse processing strategies (like micro-batching) with the inherent nature of streaming data, or they assume streaming data must be stored before processing, which is a batch-oriented mindset.
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
✓
Data is unbounded and infinite
Streaming data is inherently unbounded and infinite because social media feeds generate a continuous, never-ending flow of events. Unlike batch data, there is no natural end to the stream; new tweets, posts, or interactions arrive constantly, making the dataset theoretically infinite in size.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Data is unbounded and infinite
Why this is correct
Streaming data is unbounded.
- ✗
Data is processed in micro-batches
Why it's wrong here
Micro-batch is a style, but not a defining characteristic of streaming.
- ✓
Data arrives continuously
Why this is correct
Streaming data is continuous.
- ✗
Data is stored permanently before processing
Why it's wrong here
Streaming data is typically processed on arrival.
- ✓
Data is processed in real-time
Why this is correct
Streaming data is often processed in real-time.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 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 DA0-002 exam.