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 effectively
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