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Data Management Basics (DataSys+ DS0-001) Flashcards
CompTIA DataSys+ DS0-001 Flashcards
Study our Data Management Basics (DataSys+ DS0-001) flashcards for the CompTIA DataSys+ DS0-001 exam with 30+ flashcards. View as flashcards, a searchable table, or as a fun matching game.
| Front | Back |
| What are the main types of data storage? | Primary storage, secondary storage, and tertiary storage. |
| What does the data lifecycle include? | Phases such as creation, storage, usage, archiving, and deletion. |
| What is a data schema? | The structure or layout that defines how data is organized in a database. |
| What is a data silo? | A collection of data that is not easily accessible to other parts of an organization. |
| What is a data warehouse? | A large storage system used for reporting and data analysis purposes. |
| What is a foreign key in a database? | A column that creates a relationship between two tables. |
| What is a popular file format for storing unstructured data? | JSON (JavaScript Object Notation). |
| What is a relational database? | A database that organizes data into tables with rows and columns. |
| What is an example of primary storage? | RAM (Random Access Memory). |
| What is an example of secondary storage? | Hard drives or SSDs (Solid-State Drives). |
| What is an example of tertiary storage? | Backup tapes or cloud archives. |
| What is data archiving? | The process of storing data no longer actively used but kept for legal, regulatory, or historical reasons. |
| What is data backup? | Creating copies of data to protect against loss or corruption. |
| What is data governance? | The management of data availability, usability, integrity, and security in an organization. |
| What is data integrity? | Maintaining and assuring data accuracy and consistency over its lifecycle. |
| What is data migration? | The process of moving data from one system, format, or location to another. |
| What is data redundancy? | The unnecessary repetition of data within a database or system. |
| What is ETL in data management? | Extract, Transform, and Load — a process used to move and preprocess data. |
| What is metadata? | Data about data, such as file creation date or author. |
| What is one example of a file format used for structured data? | CSV (Comma-Separated Values). |
| What is one factor to consider when planning data storage? | Capacity, performance, or security requirements. |
| What is one key benefit of cloud storage? | Scalability and remote access to stored data. |
| What is semi-structured data? | Data that has a loose structure, such as JSON or XML files. |
| What is structured data? | Data organized in a predefined format like tables in a database. |
| What is the difference between a database and a data lake? | A database is structured and optimized for query performance, while a data lake stores raw and unprocessed data for future analysis. |
| What is the primary language used to manage data in relational databases? | SQL (Structured Query Language). |
| What is the primary purpose of data management? | To ensure data is accurately stored, organized, and accessible while maintaining quality and security. |
| What is the role of a primary key in a database? | To uniquely identify each record in a table. |
| What is unstructured data? | Data that does not follow a specific format, such as videos, images, or emails. |
| Why is data normalization important? | To reduce redundancy and improve data consistency in databases. |
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About the Flashcards
This study set is designed to help you master essential terminology and concepts for your upcoming test. These Flashcards for the CompTIA DataSys+ exam provide a thorough review of data management principles, from foundational ideas to practical applications. You will explore the core functions of data storage, the differences between structured and unstructured data, and the importance of data integrity and governance. This deck is an excellent resource for reinforcing your knowledge of the entire data lifecycle, ensuring you are well-prepared to demonstrate your understanding of how data is effectively organized, accessed, and protected in various systems.
Topics covered in this flashcard deck:
- Data Management Fundamentals
- Types of Data and Storage
- Relational Database Concepts
- The Data Lifecycle
- Data Governance and Integrity