Quiz 1: Big Data Analytics

An online marketplace collects searches, clicks, orders, payments, reviews, and delivery updates from millions of shoppers. Why is this considered Big Data?

A. It contains only numerical records
B. It is large, fast, diverse, and complex
C. It can be handled only on paper
D. It comes from a single small database

B. It is large, fast, diverse, and complex

A ride-hailing company receives live GPS coordinates from thousands of vehicles every few seconds. Which Big Data characteristic is the company mainly addressing?

A. Volume
B. Velocity
C. Veracity
D. Value

B. Velocity

A telecommunications company estimates which subscribers are likely to stop using its service next month. Which type of analytics is being applied?

A. Descriptive
B. Diagnostic
C. Predictive
D. Prescriptive

C. Predictive

A public-health dashboard reports the number of dengue cases recorded in each province during the past month. What question does this dashboard primarily answer? A. What happened? B. Why did it happen? C. What may happen next? D. What should we do?

A. What happened?

A Manila power utility uses previous consumption and weather patterns to estimate electricity demand next week. What is the typical output?

A. Reports and dashboards
B. Causes and relationships
C. Forecasts and probabilities
D. Recommended actions

C. Forecasts and probabilities

A bank monitors a stream of digital-wallet transactions and flags unusual activity within seconds. Which combination best describes the key challenge and application?

A. Volume and crop monitoring
B. Velocity and fraud detection
C. Variety and enrollment analysis
D. Value and video storage

B. Velocity and fraud detection

A school administrator opens a dashboard showing last semester's enrollment totals by academic program. Which type of analytics is being used?

A. Predictive
B. Prescriptive
C. Diagnostic
D. Descriptive

D. Descriptive

A university discovers duplicate student records, missing grades, and inconsistent date formats before creating a dashboard. Which Big Data characteristic is the main concern?

A. Volume
B. Velocity
C. Veracity
D. Value

C. Veracity

A hospital combines patient tables, doctors' notes, X-ray images, and audio recordings for analysis. Which Big Data characteristic best describes this situation?

A. Velocity
B. Value
C. Variety
D. Veracity

C. Variety

A university analyzes grades, attendance, and learning-platform activity to identify students at risk of dropping out. Which industry application is illustrated?

A. Education retention analysis
B. Transportation route planning
C. Agriculture crop monitoring
D. E-commerce fraud detection

A. Education retention analysis

A transport agency forecasts rush-hour passengers, then recommends how many buses should be deployed on each route. Which type of analytics produces the recommendation?

A. Diagnostic
B. Prescriptive
C. Descriptive
D. Predictive

B. Prescriptive

A Metro Manila traffic office stores five years of high-definition video from hundreds of road cameras. Which Big Data characteristic is most evident?

A. Volume
B. Velocity
C. Variety
D. Value

A. Volume

A warehouse system considers predicted orders, delivery distance, and capacity limits to select the best warehouse for each delivery. Which question is it answering?

A. What happened?
B. Why did it happen?
C. What may happen next?
D. What should we do?

D. What should we do?

A project has a moderate dataset but many false entries and inconsistent formats. A team member says it is not a Big Data problem because it lacks extreme volume. Which response is most accurate?

A. Every project must show all 5Vs equally
B. Only volume determines whether data is Big Data
C. Different projects can face different V-related challenges
D. The data must arrive in real time to be useful

C. Different projects can face different V-related challenges

A small company tries to process continuously growing sensor data with a traditional spreadsheet, but updates become too slow. Which solution requirement follows from the module?

A. Scalable storage and processing
B. Fewer data sources in all cases
C. Manual encoding of every record
D. Removal of all historical data

A. Scalable storage and processing

After website traffic drops, analysts compare system logs with the time of a server outage to determine the cause. What is the expected output of this analysis?

A. A historical summary only
B. Causes and relationships
C. A probability forecast
D. A recommended action plan

B. Causes and relationships

A government agency combines population records, rainfall readings, and evacuation-center capacity to prepare for typhoons. Which application of Big Data Analytics does this illustrate?

A. Product recommendation
B. Disaster response planning
C. Customer retention
D. Credit assessment

B. Disaster response planning

An agriculture agency uses weather and crop-sensor data to decide when farmers should irrigate. Which Big Data characteristic is achieved when the data improves this decision?

A. Variety
B. Value
C. Velocity
D. Volume

B. Value

A retailer sees that sales fell in June and examines stock records, finding that its best-selling product was unavailable. Which type of analytics was used to identify the reason?

A. Diagnostic
B. Descriptive
C. Predictive
D. Prescriptive

A. Diagnostic

A delivery company first predicts heavy demand next weekend and then chooses staffing levels and vehicle assignments under budget limits. Which sequence of analytics is used?

A. Descriptive then diagnostic
B. Diagnostic then descriptive
C. Predictive then prescriptive
D. Prescriptive then predictive

C. Predictive then prescriptive