1) Why is data valuable for businesses? a) It only tracks finances b) It supports decision-making and strategy c) It fills storage spaces 2) Which is structured data? a) Employee performance reviews b) Customer database c) A digital image collection 3) What is a database’s role in a data hub? a) Organize information b) Share online articles c) Design user interfaces 4) What tool visualizes data for reporting? a) Video editing software b) Document formatting tool c) Power BI 5) What data shows customer behavior? a) Weather patterns b) Sales transactions c) Travel schedules 6) What is the goal of data security? a) Improve network speed b) Prevent unauthorized data access c) Organize project files 7) What is 'Big Data'? a) A large physical storage device b) A method for quick calculations c) Large, complex datasets 8) What is unstructured data? a) System-generated logs b) Audio recordings c) A detailed database report 9) Why use data visualization tools in reporting? a) Show data trends clearly b) Write structured content c) Organize a to-do list 10) What does effective data management involve? a) Manage files in a folder b) Organize, store, and process data c) Draft weekly meeting minutes 11) What data requires strict governance? a) News headlines b) Customer personal info c) Public event schedules 12) What data suits bar charts? a) Recipe instructions b) Employee contact details c) Monthly product sales 13) Why use cloud storage for data? a) To improve data security and accessibility b) To reduce internet usage c) To format documents 14) What is a 'relational database'? a) A file storage system b) A collection of spreadsheet c) A database structured to recognize relationships among stored items of information 15) What is data governance’s role? a) Monitor project schedules b) Track website visits c) Manage data use and policies 16) What is data cleaning’s purpose in reporting? a) Remove unnecessary columns only b) Correct, remove, and format data for clarity c) Add more data points 17) What is the purpose of training a machine learning model? a) Create colorful charts b) Store data securely in databases c) Make accurate predictions from data 18) What is a data dashboard for? a) Store raw data b) Visualize metrics interactively for stakeholders c) Edit documents collaboratively 19) What is metadata’s role in governance? a) Defines storage capacity b) Transfers data between systems c) Describes data for better management 20) What is a primary data source? a) Direct collection from original events or measurements b) A summary of research findings c) A secondary analysis report 21) What is SQL primarily used for in data analysis? a) Create dashboards for reports b) Query and manipulate data in databases c) Visualize trends using graphics 22) Which chart type best shows data distribution over time? a) Pie chart b) Histogram c) Line chart 23) What does data security protect? a) Ensures data integrity and restricts access b) Minimizes file sizes for easy access c) Aligns content visually for clarity 24) What is the main goal of analytics? a) Produce colorful presentations b) Derive actionable insights for decision-making c) Store historical records effectively 25) What is the function of a data warehouse? a) A central repository for organized analysis b) A tool to edit raw files c) A method to distribute data online 26) How does governance impact data security? a) Provides templates for reporting formats b) Defines access controls and compliance standards c) Encrypts documents for sharing 27) Which one is not the layer of Medallion Architecture? a) Bronze b) Gold c) Platinum d) Silver 28) What does 'ETL' stand for in data processing? a) Edit, Transform, Load b) Extract, Transform, Load c) Evaluate, Test, List 29) What does the term 'data mining' refer to? a) Searching for gold b) Organizing data into folders c) Discovering patterns and insights from large datasets 30) What is the difference between a data lake and a data warehouse? a) A data lake stores raw data, while a data warehouse stores processed and structured data b) A data lake is for small data, while a data warehouse is for big data c) There is no difference

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