NSCT – Data-Driven Problem Solving MCQs 20 min Score: 0 Attempted: 0/20 Subscribe 1. . Data-driven problem solving is: (A) Backup only (B) Encrypting data only (C) Compressing files only (D) Using data analysis to guide decisions and solve problems effectivelyShow All Answers 2. . The first step in data-driven problem solving is: (A) Writing code immediately (B) Collecting and understanding relevant data (C) Encrypting data (D) Backup only 3. . Data cleaning involves: (A) Removing errors, inconsistencies, and missing values from data (B) Encrypting data (C) Compressing data (D) Backup only 4. . Data exploration means: (A) Compressing exploration data (B) Encrypting exploration data (C) Analyzing datasets to understand patterns, trends, and anomalies (D) Backup only 5. . Visualization in data-driven problem solving helps: (A) Represent data graphically to identify trends and insights (B) Encrypt charts (C) Compress charts (D) Backup only 6. . Hypothesis formulation in data-driven problem solving is: (A) Backup only (B) Encrypting hypothesis (C) Compressing hypothesis (D) Making an educated assumption based on available data to test solutions 7. . Statistical analysis in problem solving helps: (A) Backup only (B) Encrypt statistics (C) Compress statistics (D) Quantify relationships, measure significance, and make predictions 8. . Data-driven decisions are more reliable because: (A) Backup only (B) Encrypting intuition (C) Compressing intuition (D) They are based on evidence and measurable insights rather than intuition 9. . Data sources for problem solving include: (A) Encrypting files (B) Databases, surveys, sensors, logs, and external datasets (C) Compressing files (D) Backup only 10. . Key performance indicators (KPIs) are used to: (A) Backup only (B) Encrypt KPIs (C) Compress KPIs (D) Measure progress and evaluate effectiveness of solutions 11. . Predictive analytics in data-driven problem solving helps: (A) Backup only (B) Encrypt predictions (C) Compress predictions (D) Forecast future trends or behaviors based on historical data 12. . Data-driven problem solving requires: (A) Compressing data (B) Encrypting data (C) Critical thinking, analytical skills, and ability to interpret data (D) Backup only 13. . Correlation analysis helps in: (A) Encrypting correlations (B) Identifying relationships between variables in data (C) Compressing correlations (D) Backup only 14. . Causation differs from correlation because: (A) Causation indicates one variable directly affects another (B) Encrypting causation (C) Compressing causation (D) Backup only 15. . Data-driven problem solving improves: (A) Encryption quality (B) Decision quality, efficiency, and accountability (C) Compression efficiency (D) Backup only 16. . Common tools used in data-driven problem solving include: (A) Compression software (B) Encryption software (C) Excel, Python, R, SQL, and visualization software (D) Backup software 17. . Data validation ensures: (A) Data is accurate, consistent, and complete before analysis (B) Encrypting validation (C) Compressing validation (D) Backup only 18. . Iterative analysis in data-driven problem solving means: (A) Continuously refining insights and solutions based on updated data (B) Encrypting analysis (C) Compressing analysis (D) Backup only 19. . Advantages of data-driven problem solving include: (A) Compressing outcomes only (B) Encrypting outcomes only (C) Evidence-based decisions, reduced errors, and measurable outcomes (D) Backup only 20. . The main purpose of data-driven problem solving is to: (A) Use data systematically to identify problems, generate solutions, and make informed decisions (B) Encrypt data (C) Compress files (D) Backup tables
