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CompTIA Data+ Data Types and File Formats Flashcards
CompTIA Data+ DA0-002 (V2) Flashcards
Study our CompTIA Data+ Data Types and File Formats flashcards for the CompTIA Data+ DA0-002 (V2) exam with 34+ flashcards. View as flashcards, a searchable table, or as a fun matching game.
| Front | Back |
| Give two examples of unstructured data. | Images, video. |
| Is a database schema more relevant to structured or unstructured data? | Structured data. |
| Is SQL used to manipulate structured or unstructured data? | Structured. |
| Is video considered structured | semi-structured, or unstructured data?,Unstructured. |
| Name one common use for XML. | Data interchange between systems, especially in enterprise settings. |
| What does CSV stand for? | Comma-Separated Values. |
| What does HTML stand for? | Hypertext Markup Language. |
| What does XML stand for? | Extensible Markup Language. |
| What file format is best for storing hierarchical data structures? | JSON or XML. |
| What file format is often used for storing and exchanging tabular data? | CSV (Comma-Separated Values) or TSV (Tab-Separated Value) |
| What is a binary file format? | A file that stores data in a non-text, machine-readable format. |
| What is a flat file? | A plain text file containing data without structured relationships, often CSV or TSV. |
| What is a log file? | A file that records events and messages from software or systems. |
| What is a semi-structured data format? | Data with some organizational properties, like JSON or XML. |
| What is a structured data format? | Data stored in a defined schema, like rows and columns in a database. |
| What is data serialization? | The process of converting data into a format for storage or transmission. |
| What is machine data? | Automatically generated data from devices, systems, or applications. |
| What is metadata? | Data that describes other data. |
| What is tab-delimited data? | Text where columns are separated by tab characters. |
| What is the file extension for JavaScript Object Notation? | .json |
| What is the main characteristic of structured data? | Organized in predefined models like tables or spreadsheets. |
| What is the MIME type for JSON? | application/json |
| What is the primary advantage of using JSON over XML? | More concise and easier to parse. |
| What is the primary use of .log files? | Tracking system or application events for auditing or debugging. |
| What is the typical use case for a .csv file? | Flat-file data exchange between systems. |
| What kind of data is audio classified as? | Unstructured. |
| What kind of data is most likely stored in a relational database? | Structured data. |
| What kind of data is typically stored in a data lake? | Structured, semi-structured, and unstructured data. |
| What type of data format is used for web page content? | HTML. |
| What’s the difference between JSON and XML? | JSON is lightweight and human-readable; XML is more verbose and supports schemas. |
| Which data format is commonly used in REST APIs? | JSON. |
| Which file format is commonly used in Excel spreadsheets? | .xlsx |
| Which format is often used for storing configuration files? | YAML or JSON. |
| Which is better for enforcing data structure: JSON or XML? | XML (supports schemas like XSD). |
About the Flashcards
Flashcards for the CompTIA Data+ exam provide a concise review of common data formats, storage models, and file characteristics you'll encounter on the test. Cards cover structured, semi-structured, and unstructured data; tabular and flat-file formats like CSV, TSV, and .xlsx; and markup and serialization formats such as JSON, XML, YAML, and HTML, including file extensions and MIME types.
This deck emphasizes key terminology and practical distinctions: metadata, database schema, binary and log files, data serialization, and the roles of REST APIs and configuration files. Students can use these cards to compare JSON vs XML, identify typical file uses, and reinforce concepts about relational databases, data lakes, and machine-generated logs.
Topics covered in this flashcard deck:
- Structured vs unstructured data
- CSV, TSV, flat files
- JSON, XML, YAML formats
- File extensions and MIME types
- Data serialization and REST APIs
- Logs, machine data, data lakes