📚 Topic Summary
Data validation is like a quality check for information. It makes sure the data entered into a system is accurate, complete, and reasonable. When data doesn't meet the set rules (validation criteria), a data validation error occurs. These errors can lead to incorrect results, system crashes, or even security vulnerabilities. Understanding data validation and its consequences is crucial for building reliable and trustworthy systems.
🧠 Part A: Vocabulary
Match the term with its correct definition:
| Term |
Definition |
| 1. Data Validation |
a. A set of rules that data must adhere to. |
| 2. Validation Rule |
b. An error that occurs when data doesn't meet the specified criteria. |
| 3. Data Type |
c. The process of ensuring data is accurate and consistent. |
| 4. Error Message |
d. The kind of data being stored (e.g., integer, text, date). |
| 5. Data Corruption |
e. A notification indicating a validation rule has been violated. |
(Match the numbers to the letters)
📝 Part B: Fill in the Blanks
Data _________ ensures that the information entered is correct and _________. A _________ rule specifies the _________ of data allowed. If data doesn't meet these rules, a validation _________ occurs, which can lead to serious _________.
💡 Part C: Critical Thinking
Think about a time when you entered incorrect information online (e.g., a wrong email address or phone number). What were the consequences? How could data validation have prevented those consequences?