FBISE, NCP & NBF-aligned resources for Classes 9–12
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Computer Chapter 4 : Test #1
1 / 20
A school administration collects students' attendance records, examination scores, and participation details throughout the academic year. They want to identify students who may need extra academic support by examining the collected records instead of making decisions based only on assumptions. Which field mainly performs this task?
Reasoning: Data science combines programming, mathematics, and statistics to analyze data and extract meaningful insights for decision-making.
2 / 20
A researcher records the hourly temperature of a city for several weeks. Before making any conclusions, all temperature values are simply stored in a spreadsheet without any calculations or graphs. What do these recorded values represent at this stage?
Reasoning: Raw facts collected for future use are called data.
3 / 20
A teacher prepares a chart showing that students who studied more than three hours daily scored significantly higher in examinations. The chart is created after carefully examining students' study records and marks. What does this activity mainly represent?
Reasoning: Data analytics involves examining data to discover patterns and meaningful conclusions.
4 / 20
A supermarket stores daily sales records for every product. After analyzing the records, the manager concludes that cold drinks sell much better during weekends than weekdays. Which statement best describes the conclusion?
Reasoning: Processed data that provides meaning and context is called information.
5 / 20
A hospital stores thousands of patients' medical reports, laboratory results, and CT scan images in an organized form so doctors can study disease patterns. This organized collection of related records is best described as a:
Reasoning: A dataset is an organized collection of related data.
6 / 20
A company stores customer names, ages, and account balances in tables. It also keeps customer voice recordings and complaint videos. Which option correctly identifies the unstructured data?
Reasoning: Audio and video files are examples of unstructured data.
7 / 20
A weather department studies rainfall records from the last twenty years to estimate the chance of floods during the coming season. Which concept helps predict the likelihood of future events using past observations?
Reasoning: Probability estimates the likelihood of future events based on available information.
8 / 20
A data scientist develops a mathematical model to improve the accuracy of predicting electricity demand in different cities. Which component of data science is primarily responsible for building and optimizing such models?
Reasoning: Mathematics helps formulate models and optimize their performance.
9 / 20
A computer system improves its ability to recognize handwritten digits after being trained with thousands of labeled examples instead of being explicitly programmed for every possible writing style. Which technology is being used?
Reasoning: Machine learning enables computers to learn patterns from data.
10 / 20
An AI system recognizes faces in photographs by using multiple layers of artificial neural networks that imitate certain functions of the human brain. Which branch of AI does this describe?
Reasoning: Deep learning uses artificial neural networks inspired by the human brain.
11 / 20
A retail company examines years of customer purchase records to discover that customers buying baby products often purchase tissues during the same visit. Which data science concept is mainly responsible for finding such hidden relationships?
Reasoning: Data mining discovers useful patterns and relationships in existing datasets.
12 / 20
A business analyst converts a large table containing thousands of sales records into bar charts and line graphs so managers can quickly understand monthly sales trends. Which component of data science is being applied?
Reasoning: Data visualization presents data graphically for easier understanding.
13 / 20
An online shopping company analyzes billions of customer transactions collected over many years to improve recommendation systems and identify buying trends. Which concept deals with handling such extremely large volumes of data?
Reasoning: Big Data refers to managing and analyzing massive datasets.
14 / 20
A transport company studies previous traffic conditions, weather reports, and delivery times to estimate whether tomorrow's deliveries are likely to be delayed. Which data science technique is being applied?
Reasoning: Predictive analysis forecasts future events using historical data.
15 / 20
A company develops software that reads thousands of customer reviews and automatically classifies each review as positive, negative, or neutral before generating a summary report. Which field mainly enables this capability?
Reasoning: NLP enables computers to understand and process human language.
16 / 20
A restaurant owner receives hundreds of online reviews every week. Instead of reading each review manually, software determines whether customers are satisfied, dissatisfied, or neutral about the service. Which application is being used?
Reasoning: Sentiment analysis determines the emotional tone of text.
17 / 20
A company wants to answer why sales dropped last month by analyzing existing records. It does not build prediction models or AI systems. Which field best matches this objective?
Reasoning: Data analytics focuses on analyzing existing data to answer specific questions.
18 / 20
A team is responsible for collecting data, cleaning it, creating machine learning models, predicting future outcomes, and deploying software for business use. Which field best describes the team's overall work?
Reasoning: Data science covers the complete process from data collection to deployment.
19 / 20
A logistics company studies fuel costs, delivery times, customer locations, and traffic conditions before selecting the shortest and least expensive delivery routes. Which benefit of data science is demonstrated?
Reasoning: Data science helps optimize routes by analyzing multiple factors.
20 / 20
An e-commerce company analyzes customers' previous purchases and browsing history before suggesting products that each customer is likely to buy. Which application of data science is primarily responsible for this feature?
Reasoning: Recommendation systems analyze customer behavior to suggest relevant products.
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