---
title: Knowledge Check | Tiger Data Docs
description: Test your understanding of real-world use cases
---

**Module:** Tiger Data 101 → TimescaleDB Core Use Cases\
**Section:** Core Use Cases\
**Estimated time:** 8–10 minutes total (this page: \~2 minutes)

---

### Knowledge Check

Question 1 of 3

#### A. A company is collecting temperature and humidity readings from 10,000 sensors every 5 seconds. Which TimescaleDB feature is most important for managing the write volume efficiently?

A)Continuous AggregatesB)hypertables with automatic time partitioningC)hypercore compressionD)Retention policies

Check Answer

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## You've completed Tiger Data 101! 🎉

You now understand:

- What TimescaleDB is and how it extends PostgreSQL
- Time-series data concepts and characteristics
- hypertables, hypercore, and Continuous Aggregates
- How to design and scale TimescaleDB solutions
- Real-world use cases across industries

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### Next Steps

- **[Tiger Data Docs](/learn/index.md)** — Full documentation for TimescaleDB and Tiger Cloud
- **[Build Tutorials](/build/index.md)** — Hands-on projects and quickstarts
- **[Glossary](/learn/glossary/index.md)** — Definitions for all key terms
- **[Blog](https://www.tigerdata.com/blog)** — Deep-dives and updates
- **[Community](https://www.tigerdata.com/community)** — Join the TimescaleDB community