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Computer Chapter 4 : Test #5
1 / 20
A country's revenue authority collects tax returns, banking transactions, business invoices, and digital payment records from millions of citizens and companies. Advanced analytics identify unusual financial patterns and help officials detect tax evasion while improving the overall efficiency of tax collection. Which application of big data is illustrated?
Reasoning: Big data helps governments improve tax compliance by analyzing financial records and detecting irregularities.
2 / 20
A company wants to process customer information stored in spreadsheets, JSON files, emails, videos, scanned documents, and social media posts. The management decides that traditional database systems alone are not sufficient because the information exists in many different formats. Which characteristic of big data creates this challenge?
Reasoning: Variety refers to handling structured, semi-structured, and unstructured data collected from multiple sources.
3 / 20
A teacher explains that big data became practical only after technologies capable of storing and processing massive datasets were developed. She asks students to identify the event that most directly enabled organizations to efficiently manage huge datasets. Which option is the best answer?
Reasoning: Hadoop was specifically developed as an open-source framework for storing and processing very large datasets.
4 / 20
A business analyst explains that collecting huge amounts of information alone does not improve business performance. Instead, organizations must analyze reliable data to discover useful patterns that support better planning and decision-making. Which combination of big data characteristics is most directly emphasized?
Reasoning: Veracity ensures data reliability, while Value focuses on extracting meaningful insights for decision-making.
5 / 20
A multinational company receives continuous information from IoT devices, online transactions, customer reviews, and social media platforms. Management successfully processes these datasets to improve products, predict customer needs, and make strategic business decisions. Which statement best explains the overall purpose of using big data?
Reasoning: The primary purpose of big data is to analyze massive datasets and extract valuable insights that improve decisions and solve complex business problems.
6 / 20
A research team is studying weather patterns by collecting temperature readings, satellite images, rainfall measurements, and written observations from different locations. Before meaningful analysis can begin, they first identify individual facts and observations collected from these sources. What are these individual facts called in data science?
Reasoning: Data refers to individual facts, observations, or measurements collected from different sources.
7 / 20
A hospital stores thousands of brain CT scans belonging to patients with brain tumors. Since all these scans are related to the same medical study, researchers analyze them together to identify common disease patterns. What is this organized collection of related information called?
Reasoning: A dataset is a structured collection of related data associated with a specific purpose or study.
8 / 20
A company analyzes sales records from the previous five years to identify customer purchasing patterns. It then estimates which products are most likely to sell during the coming holiday season. Which concept of data science mainly supports predicting future outcomes from past information?
Reasoning: Statistics analyzes past data, while probability predicts the likelihood of future events.
9 / 20
An engineering team develops a system that simplifies complex calculations, improves prediction accuracy, and optimizes the performance of an intelligent model used for business decision-making. Which fundamental concept of data science mainly enables these mathematical computations?
Reasoning: Mathematics provides the foundation for solving problems, optimizing models, and interpreting data.
10 / 20
An email service automatically learns to recognize spam messages by studying examples of unwanted emails. As more examples become available, the system gradually improves its accuracy without being explicitly reprogrammed. Which concept of data science is responsible for this improvement?
Reasoning: Machine learning enables computers to learn from data and improve performance automatically.
11 / 20
Scientists develop a computer system that identifies diseases from thousands of medical images using artificial neural networks designed to imitate the learning process of the human brain. Which concept of data science is being applied in this situation?
Reasoning: Deep learning is a subset of machine learning that uses artificial neural networks to simulate human brain functions.
12 / 20
A supermarket studies years of customer purchase records to discover that people buying breakfast cereal often purchase milk during the same visit. The company uses this hidden relationship to improve product placement. Which concept of data science is primarily being used?
Reasoning: Data mining focuses on discovering useful patterns and relationships within existing datasets.
13 / 20
A company presents its annual sales using bar charts, line graphs, interactive dashboards, and infographics so that managers can quickly understand business performance without examining thousands of rows of raw data. Which concept of data science is demonstrated?
Reasoning: Data visualization represents complex information graphically, making patterns and insights easier to understand.
14 / 20
A retail company receives millions of customer transactions, website visits, and social media comments every day. Data scientists analyze these massive datasets to identify buying patterns and improve future marketing strategies. Which key concept of data science enables handling such enormous volumes of information?
Reasoning: Big Data focuses on storing, processing, and analyzing extremely large datasets to extract meaningful insights.
15 / 20
A fashion retailer studies customers' previous purchases, seasonal trends, and online browsing history. Based on these historical records, it estimates which products will become popular during the next shopping season. Which concept of data science is primarily responsible for this prediction?
Reasoning: Predictive analysis uses historical data to forecast future trends and events.
16 / 20
A multilingual chatbot answers customer questions, translates messages into different languages, and summarizes long product reviews. It understands human language instead of processing only numbers or symbols. Which concept of data science makes these capabilities possible?
Reasoning: Natural Language Processing (NLP) enables computers to understand, interpret, and generate human language.
17 / 20
A hospital analyzes electronic health records, laboratory reports, wearable device readings, and medical images to detect diseases earlier and recommend suitable treatments for patients. Which field best demonstrates this application of big data?
Reasoning: Big data in healthcare improves diagnosis, patient monitoring, and personalized treatment planning.
18 / 20
An online learning platform studies students' quiz scores, learning speed, and classroom participation. It automatically recommends different learning materials for each student according to individual strengths and weaknesses. Which field of big data application is illustrated?
Reasoning: Big data supports personalized learning by adapting educational content to individual student needs.
19 / 20
A bank continuously monitors customer transactions, account activities, and payment histories. Whenever an unusual spending pattern appears, the system immediately alerts security staff to prevent financial loss. Which major advantage of big data is demonstrated?
Reasoning: Big data analytics identifies suspicious patterns to detect fraud and improve financial security.
20 / 20
A multinational company collects customer information from websites, mobile applications, and social media platforms. Although the data is valuable, unauthorized access could expose sensitive personal information. Which major challenge of big data is the company primarily facing?
Reasoning: Protecting massive datasets from unauthorized access is one of the biggest challenges of big data.
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