Data Analytics Exam

3. Techniques to plan and execute a project efficiently, including tasks, timelines, and dependencies.
4. A system involving digital hardware, software, data, and processes to create solutions.
9. Analyzing how components of systems interact and influence the whole.
10. Generating and evaluating creative solutions, using both divergent and convergent thinking.
14. Measures how well a solution or system meets intended outcomes (e.g., accessibility, accuracy).
15. Checking data for completeness, correctness, and consistency during entry.
19. The appearance and presentation style of data (e.g., images, text, tables).
22. Organizing data for efficient algorithms and optimized program performance.
23. Laws governing the ownership, privacy, and security of information.
25. Consistent rules for naming entities in software and data management.
26. Recognizing computational aspects in problems, using logic, algorithms, and programming to solve them.
27. Creating digital output by transforming data into information, like websites or apps.
30. Rules for consistency and clarity in digital systems, like program and file naming.
31. Using software to represent data graphically (charts, maps) for pattern recognition.
32. Actions or events that threaten data security (e.g., malware, phishing).
33. Different forms of data (e.g., binary, Boolean, numeric) for specific operations.

1. Guidelines for functional, usable, and visually appealing digital solutions.
2. A visual language for modeling system requirements and interactions.
5. A document outlining functional, technical, and system requirements.
6. Hardware and software interconnected to create digital solutions.
7. English-like statements representing algorithms without adhering to formal coding syntax.
8. Organizing, naming, and storing files systematically for easy access and backup.
11. Methods to ensure a solution works as intended, with rigorous testing.
12. Software methods to protect information (e.g., encryption, firewalls).
13. Equipment and procedures to protect digital information systems physically.
16. Proofreading and confirming data accuracy after it has been entered.
17. Devices connected via the internet, communicating data between themselves.
18. Elements of programming languages, like functions and control structures.
20. General categories like image, number, and text data.
21. Acquiring, analyzing, and presenting data patterns to draw conclusions.
24. Measures the time, cost, and effort required to achieve results in a system.
28. Visual elements to communicate data patterns and trends quickly.
29. Protecting digital systems from threats using policies, ethics, and defensive techniques.