MCQs-Predictive Analytics


  1. What is the primary purpose of business analytics?
    A) Making artwork
    B) Writing reports
    C) Improving business decisions
    D) Sending emails
    Answer: C) Improving business decisions
  2. Which type of analytics identifies the root cause of a problem?
    A) Descriptive
    B) Diagnostic
    C) Predictive
    D) Prescriptive
    Answer: B) Diagnostic
  3. What does prescriptive analytics help with?
    A) Describing past events
    B) Diagnosing failures
    C) Making future decisions
    D) Drawing graphs
    Answer: C) Making future decisions
  4. Which field focuses on extracting patterns from large datasets?
    A) Graphic design
    B) Data mining
    C) Networking
    D) Marketing
    Answer: B) Data mining
  5. What is a data warehouse used for?
    A) Email distribution
    B) Video storage
    C) Aggregating and storing structured data
    D) Printing documents
    Answer: C) Aggregating and storing structured data
  6. Which term refers to data shown as charts or infographics?
    A) Data cleaning
    B) Data scripting
    C) Data visualization
    D) Data warehousing
    Answer: C) Data visualization
  7. Who typically builds dashboards and visual reports from data?
    A) Electricians
    B) Data analysts
    C) Mechanics
    D) Architects
    Answer: B) Data analysts
  8. Which job role is responsible for creating and maintaining data systems?
    A) Data scientist
    B) Data engineer
    C) Business executive
    D) Auditor
    Answer: B) Data engineer
  9. Which analytics type uses previous data to make predictions?
    A) Descriptive
    B) Diagnostic
    C) Predictive
    D) Prescriptive
    Answer: C) Predictive
  10. Which analytics type helps answer “what happened”?
    A) Predictive
    B) Descriptive
    C) Diagnostic
    D) Prescriptive
    Answer: B) Descriptive
  11. What is the first step in the business analytics process?
    A) Visualization
    B) Data analysis
    C) Data collection
    D) Decision-making
    Answer: C) Data collection
  12. What does “data cleaning” aim to fix?
    A) Charts and visuals
    B) Broken servers
    C) Incorrect, outdated, or missing data
    D) Paper records
    Answer: C) Incorrect, outdated, or missing data
  13. Which tool uses historical data to predict future revenue?
    A) Text mining
    B) Forecasting
    C) Reporting
    D) ETL
    Answer: B) Forecasting
  14. What is knowledge discovery in data also called?
    A) Data staging
    B) ETL
    C) Data mining
    D) Data fusing
    Answer: C) Data mining
  15. Which professionals manage models and algorithms in analytics?
    A) HR managers
    B) Developers
    C) Data scientists
    D) Designers
    Answer: C) Data scientists
  16. Which language is commonly used by data scientists?
    A) HTML
    B) JavaScript
    C) Python
    D) Swift
    Answer: C) Python
  17. What can text analysis help extract from documents?
    A) Barcodes
    B) Images
    C) Patterns and trends
    D) Passwords
    Answer: C) Patterns and trends
  18. Which of these is a benefit of business analytics?
    A) Higher phone bills
    B) Enhanced customer service
    C) Longer meetings
    D) Increased paperwork
    Answer: B) Enhanced customer service
  19. What is the main output of predictive modeling?
    A) Patterns
    B) Visual charts
    C) Hypotheses about future behaviors
    D) HTML pages
    Answer: C) Hypotheses about future behaviors
  20. What does a data silo refer to?
    A) A backup server
    B) A machine learning tool
    C) Isolated data not shared across departments
    D) A type of cloud storage
    Answer: C) Isolated data not shared across departments
  21. Which analytics type helps prevent problems before they happen?
    A) Diagnostic
    B) Prescriptive
    C) Predictive
    D) Descriptive
    Answer: C) Predictive
  22. Which method supports decision-making by suggesting best actions?
    A) Predictive analytics
    B) Prescriptive analytics
    C) Diagnostic analytics
    D) Exploratory analytics
    Answer: B) Prescriptive analytics
  23. What’s an example of a prescriptive analytics use case?
    A) Pie chart showing customer age groups
    B) Predicting sales drop
    C) Determining best content types for marketing
    D) Cleaning old data
    Answer: C) Determining best content types for marketing
  24. What’s one major reason for data becoming outdated?
    A) Natural disasters
    B) Constant updates in pricing and customer info
    C) Software crashes
    D) Office holidays
    Answer: B) Constant updates in pricing and customer info
  25. What does a single-window view of data improve?
    A) Hardware performance
    B) Department collaboration
    C) Operating system speed
    D) Cloud upload time
    Answer: B) Department collaboration
  26. Which of the following is an example of integrated sales planning?
    A) Developing a new app
    B) Building a website
    C) Using analytics to forecast revenue and allocate resources
    D) Hiring new designers
    Answer: C) Using analytics to forecast revenue and allocate resources
  27. Which tool is commonly used for business planning before modern platforms?
    A) SQL
    B) Microsoft Excel
    C) Tableau
    D) SPSS
    Answer: B) Microsoft Excel
  28. What is the final step in the business analytics process?
    A) Data cleaning
    B) Data collection
    C) Data visualization
    D) Reporting
    Answer: D) Reporting
  29. Which of the following refers to combining internal and external data for insights?
    A) Data theft
    B) Data silos
    C) Data augmentation
    D) Data cleansing
    Answer: C) Data augmentation
  30. How do business analytics help dynamic pricing strategies?
    A) Fixing prices manually
    B) Using real-time data to adjust prices profitably
    C) Ignoring competition
    D) Sending bills faster
    Answer: B) Using real-time data to adjust prices profitably

31. What is the main purpose of the Apriori algorithm?
A) Clustering customers
B) Classification of emails
C) Discovering frequent itemsets and association rules
D) Cleaning dirty data
Answer: C) Discovering frequent itemsets and association rules

32. What does “support” mean in the context of the Apriori algorithm?
A) Number of items in a basket
B) Total sales per item
C) Frequency of an itemset appearing in all transactions
D) Number of products in inventory
Answer: C) Frequency of an itemset appearing in all transactions

33. What step comes after generating frequent itemsets in Apriori?
A) Forecasting
B) Data visualization
C) Generating association rules
D) Data mining
Answer: C) Generating association rules

34. Which of the following itemsets would be considered frequent if the minimum support is 50% and it appears in 3 out of 6 transactions?
A) Not frequent
B) Frequent
C) Never occurs
D) Needs confidence calculation
Answer: B) Frequent

35. If {Milk, Bread} appears in 4 transactions and {Milk, Bread, Butter} appears in 3, what is the confidence of the rule {Milk, Bread} → Butter?
A) 25%
B) 50%
C) 75%
D) 100%
Answer: C) 75%

36. In a single predictor model, how many independent variables are used to predict the outcome?
A) Two
B) One
C) Three
D) None
Answer: B) One

37. Which of the following is a valid example of a multiple predictor model?
A) Final score ~ Hours studied
B) Final score ~ GPA
C) Final score ~ Attendance + GPA + Study Hours
D) Final score ~ Exam Type
Answer: C) Final score ~ Attendance + GPA + Study Hours

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