1Which of the following best defines 'data' in the context of digital information?
A.Processed information ready for decision making
B.Raw, unorganized facts and figures
C.Visual charts and graphs
D.Software applications used for analysis
Correct Answer: Raw, unorganized facts and figures
Explanation:Data consists of raw facts and figures that have not yet been processed to reveal meaning.
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2Which type of data resides in fixed fields within a record or file, such as Relational Database Management Systems (RDBMS)?
A.Unstructured Data
B.Semi-structured Data
C.Structured Data
D.Abstract Data
Correct Answer: Structured Data
Explanation:Structured data is highly organized and formatted in a way that is easy for searching in relational databases (rows and columns).
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3Emails, videos, and social media posts are primarily examples of which type of data?
A.Structured Data
B.Semi-structured Data
C.Unstructured Data
D.Normalized Data
Correct Answer: Unstructured Data
Explanation:Unstructured data does not have a predefined data model or organization, making it typical for media, text blobs, and social interactions.
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4XML and JSON files are classic examples of which data category?
A.Structured Data
B.Semi-structured Data
C.Unstructured Data
D.Raw Data
Correct Answer: Semi-structured Data
Explanation:Semi-structured data does not reside in a relational database but has some organizational properties like tags or markers (e.g., XML tags) to enforce hierarchy.
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5What is a major limitation of traditional databases (RDBMS) when dealing with modern big data?
A.They cannot handle structured data
B.They lack security features
C.Difficulty in scaling horizontally and handling unstructured data
D.They cannot perform mathematical calculations
Correct Answer: Difficulty in scaling horizontally and handling unstructured data
Explanation:Traditional RDBMS are designed for vertical scaling and structured data, making them less efficient for the massive scale and variety of unstructured big data.
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6OLTP stands for:
A.Online Text Processing
B.Online Transaction Processing
C.Offline Transaction Protocol
D.Online Analytical Processing
Correct Answer: Online Transaction Processing
Explanation:OLTP refers to systems that manage transaction-oriented applications, typically for data entry and retrieval processing.
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7What is the primary goal of an OLTP system?
A.Complex data analysis
B.Fast query processing and data integrity for transactions
C.Historical data archiving
D.Generating executive dashboards
Correct Answer: Fast query processing and data integrity for transactions
Explanation:OLTP systems are optimized for speed, reliability, and maintaining data integrity during frequent updates and insertions.
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8Which system is primarily used for decision support, planning, and problem-solving?
A.OLTP
B.OLAP
C.RDBMS
D.ATM Systems
Correct Answer: OLAP
Explanation:OLAP (Online Analytical Processing) is designed to answer multi-dimensional analytical queries swiftly for business intelligence.
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9In the context of data volatility, how do OLTP and OLAP differ?
A.OLTP data is volatile; OLAP data is non-volatile
B.OLTP data is static; OLAP data is volatile
C.Both are highly volatile
D.Both are non-volatile
Correct Answer: OLTP data is volatile; OLAP data is non-volatile
Explanation:OLTP data changes constantly with new transactions. OLAP data is historical and generally read-only (non-volatile) used for analysis.
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10Business Intelligence (BI) can best be described as:
A.A specific software tool for writing SQL queries
B.Strategies and technologies used for data analysis and management
C.The process of backing up database files
D.A method for securing network connections
Correct Answer: Strategies and technologies used for data analysis and management
Explanation:BI encompasses the strategies, technologies, and applications used to collect, integrate, analyze, and present business information.
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11Which of the following is an early predecessor to modern BI, designed for middle managers?
A.EIS (Executive Information Systems)
B.MIS (Management Information Systems)
C.AI (Artificial Intelligence)
D.IoT (Internet of Things)
Correct Answer: MIS (Management Information Systems)
Explanation:MIS evolved in the 1960s/70s to provide periodic reports to middle management to monitor the organization's performance.
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12What is the primary function of an Executive Information System (EIS)?
A.To process daily operational transactions
B.To provide senior executives with easy access to internal and external data
C.To compile code for software developers
D.To manage customer support tickets
Correct Answer: To provide senior executives with easy access to internal and external data
Explanation:EIS is designed to facilitate and support senior executive information and decision-making needs, often emphasizing graphical displays and easy interfaces.
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13What is a Digital Dashboard?
A.A hardware component in a server
B.A data visualization tool that displays the current status of metrics and KPIs
C.A type of unstructured data
D.A database backup utility
Correct Answer: A data visualization tool that displays the current status of metrics and KPIs
Explanation:Dashboards consolidate and arrange numbers, metrics, and performance scorecards on a single screen.
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14Why is BI needed at the Operational Level of an organization?
A.To plan 5-year strategies
B.To optimize daily workflows and immediate decision making
C.To design the company logo
D.To analyze ten years of historical data
Correct Answer: To optimize daily workflows and immediate decision making
Explanation:Operational BI provides real-time or near real-time data to help front-line workers and managers optimize daily processes.
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15Descriptive Analytics in BI answers which question?
A.What happened?
B.Why did it happen?
C.What will happen?
D.How can we make it happen?
Correct Answer: What happened?
Explanation:Descriptive analytics looks at past data to report on what has already occurred.
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16Predictive Analytics is associated with which time frame?
A.Past
B.Present
C.Future
D.None of the above
Correct Answer: Future
Explanation:Predictive analytics uses statistical models and forecasts to understand what could happen in the future.
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17Which data type accounts for the largest percentage of data growth in the modern world?
A.Structured Data
B.Unstructured Data
C.Numeric Data
D.Boolean Data
Correct Answer: Unstructured Data
Explanation:Unstructured data (text, video, audio, social media) is growing significantly faster than structured data.
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18In an OLAP system, 'Drill-down' capability allows a user to:
A.Delete data permanently
B.View data at a more detailed level
C.Summarize data to a higher level
D.Export data to a text file
Correct Answer: View data at a more detailed level
Explanation:Drill-down is an analytical technique to navigate from summary data to detailed data (e.g., from yearly sales to monthly sales).
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19Which of the following is NOT a characteristic of Structured Data?
A.High degree of organization
B.Easy to query using SQL
C.Flexible, schema-less format
D.Stored in tables
Correct Answer: Flexible, schema-less format
Explanation:Structured data is rigid and requires a predefined schema, unlike unstructured or semi-structured data.
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20Which BI component is responsible for extracting, transforming, and loading data?
A.Dashboard
B.ETL
C.OLAP Cube
D.Data Mining
Correct Answer: ETL
Explanation:ETL (Extract, Transform, Load) is the process of moving data from source systems to a data warehouse for BI analysis.
Explanation:Diagnostic analytics examines data or content to answer the question, 'Why did it happen?', often using techniques like drill-down or data discovery.
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22Prescriptive Analytics attempts to:
A.Describe the past
B.Diagnose the present
C.Suggest a course of action
D.Visualize static data
Correct Answer: Suggest a course of action
Explanation:Prescriptive analytics goes beyond predicting future outcomes by suggesting actions to benefit from the predictions.
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23What is a 'Data Silo'?
A.A secure type of database
B.An isolated collection of data not accessible to other parts of the organization
C.A visualization tool
D.A cloud storage solution
Correct Answer: An isolated collection of data not accessible to other parts of the organization
Explanation:Data silos act as a barrier to BI because they prevent a unified view of organizational data.
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24Which represents the hierarchy of data understanding from bottom to top?
A.Wisdom -> Knowledge -> Information -> Data
B.Data -> Information -> Knowledge -> Wisdom
C.Information -> Data -> Wisdom -> Knowledge
D.Knowledge -> Wisdom -> Data -> Information
Correct Answer: Data -> Information -> Knowledge -> Wisdom
Explanation:This is the DIKW pyramid. Data is processed into Information, which becomes Knowledge when understood, and Wisdom when applied.
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25Tactical BI is primarily used by:
A.CEOs only
B.Business Analysts and Line Managers
C.Clerks
D.External Customers
Correct Answer: Business Analysts and Line Managers
Explanation:Tactical BI supports short-term strategic planning and monitoring, usually managed by analysts and department managers.
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26Metadata is best described as:
A.Large volumes of data
B.Data about data
C.Corrupted data
D.Deleted data
Correct Answer: Data about data
Explanation:Metadata provides information about other data, such as the source, format, author, and date of creation.
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27The evolution of BI moved from Mainframe reporting to:
A.Client-Server based BI
B.Paper-only records
C.Abacus calculation
D.None of the above
Correct Answer: Client-Server based BI
Explanation:Historically, BI evolved from rigid mainframe reports to more flexible client-server architectures, and eventually to cloud/web-based BI.
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28Which of the following is a key feature of a Digital Dashboard?
A.Requires SQL coding to view
B.Visual presentation of Key Performance Indicators (KPIs)
C.Text-only output
D.Slow data refresh rates
Correct Answer: Visual presentation of Key Performance Indicators (KPIs)
Explanation:Dashboards allow users to grasp the state of the business quickly through visual KPIs.
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29In the context of RDBMS limitations, what is the 'Variety' problem?
A.Databases represent too many colors
B.Traditional databases struggle to manage diverse data formats (video, text, sensor data)
C.There are too many brands of databases
D.SQL has too many commands
Correct Answer: Traditional databases struggle to manage diverse data formats (video, text, sensor data)
Explanation:Variety refers to the different types of data (structured, semi-structured, unstructured) which traditional RDBMS handle poorly.
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30OLTP systems are generally characterized by:
A.Read-mostly operations
B.Complex queries involving aggregations
C.Short, atomic transactions
D.Low concurrency
Correct Answer: Short, atomic transactions
Explanation:OLTP involves frequent, small transactions (updates, inserts, deletes) that must be atomic to ensure integrity.
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31The term 'Latency' in BI refers to:
A.The size of the hard drive
B.The time lag between data generation and actionable insight
C.The cost of the software
D.The number of users logged in
Correct Answer: The time lag between data generation and actionable insight
Explanation:Reducing data latency is a key goal of modern BI to enable real-time decision-making.
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32Which of the following creates a bridge between the 'Past' and 'Future' in BI analysis?
A.Data Deletion
B.Trend Analysis
C.Data Entry
D.System Reboot
Correct Answer: Trend Analysis
Explanation:Trend analysis uses historical data (Past) to identify patterns that suggest future outcomes.
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33Spreadsheets (like Excel) generally handle which type of data best?
A.Structured Data
B.Unstructured Video
C.Large-scale Big Data
D.Real-time streaming audio
Correct Answer: Structured Data
Explanation:Spreadsheets are essentially grids of rows and columns, making them best suited for structured data.
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34What is the main role of a Data Warehouse in BI?
A.To process live transactions
B.To store centralized, historical data for analysis
C.To host the company website
D.To act as an email server
Correct Answer: To store centralized, historical data for analysis
Explanation:A Data Warehouse aggregates data from various sources into a central repository specifically for OLAP and BI tasks.
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35Semi-structured data often contains:
A.Fixed length fields
B.Tags or markers to separate elements
C.Only binary code
D.Purely random noise
Correct Answer: Tags or markers to separate elements
Explanation:Formats like XML and JSON use tags/markers to identify data elements, providing a structure that is not as rigid as a table.
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36Which level of management is most concerned with Strategic BI?
A.Operational Staff
B.Middle Management
C.Top-level Executives
D.IT Support
Correct Answer: Top-level Executives
Explanation:Strategic BI deals with long-term goals and high-level metrics, which is the domain of top executives.
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37What limits a standard database's ability to handle 'Velocity'?
A.The speed of light
B.I/O bottlenecks when writing massive amounts of high-speed data
C.The number of columns allowed
D.The color of the server
Correct Answer: I/O bottlenecks when writing massive amounts of high-speed data
Explanation:Traditional databases often hit performance bottlenecks (Input/Output) when trying to ingest high-velocity data streams (like IoT sensors).
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38Querying a NoSQL database is often required for:
A.Highly relational financial ledgers
B.Unstructured or Semi-structured Big Data
C.Small address books
D.Fixed asset registers
Correct Answer: Unstructured or Semi-structured Big Data
Explanation:NoSQL databases are designed to handle the variety and scale of unstructured/semi-structured data better than RDBMS.
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39Which is an example of 'Present' BI?
A.Real-time stock market monitoring
B.Year-end financial report
C.Sales forecast for next year
D.Audit of last month's logs
Correct Answer: Real-time stock market monitoring
Explanation:Present BI involves monitoring events as they happen, such as real-time dashboards.
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40What distinguishes Information from Data?
A.Information is digital; Data is analog
B.Information is processed data with context and meaning
C.Data is always larger than Information
D.There is no difference
Correct Answer: Information is processed data with context and meaning
Explanation:Data becomes information when it is processed, organized, or structured to provide context and meaning.
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41Decision Support Systems (DSS) primarily rely on:
A.Manual paper filing
B.Models and data to solve semi-structured problems
C.Strict transaction processing
D.Guesswork
Correct Answer: Models and data to solve semi-structured problems
Explanation:DSS uses data and models to assist in solving problems where the solution isn't straightforward or fully structured.
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42The 'Roll-up' operation in OLAP performs what function?
A.Increases detail
B.Aggregates data (e.g., Daily to Monthly)
C.Deletes the cube
D.Rotates the axis
Correct Answer: Aggregates data (e.g., Daily to Monthly)
Explanation:Roll-up is the opposite of drill-down; it summarizes data by climbing up the hierarchy (e.g., summing city sales into country sales).
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43Why is 'Data Quality' a limitation in real-world databases?
A.Computers never make mistakes
B.Inconsistent, duplicate, or missing data reduces trust in the database
C.Databases automatically fix all errors
D.Quality is not important
Correct Answer: Inconsistent, duplicate, or missing data reduces trust in the database
Explanation:Real-world data is often dirty (duplicates, errors), and traditional databases don't inherently fix quality issues without specific rules/tools.
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44A CSV (Comma Separated Values) file is best described as:
A.Unstructured
B.Structured (but usually stored as a flat file)
C.Proprietary code
D.Executable software
Correct Answer: Structured (but usually stored as a flat file)
Explanation:CSV files organize data in rows and columns (delimiters), making them structured, though they lack the relational enforcement of a DBMS.
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45Which of the following is NOT a benefit of BI?
A.Faster decision making
B.Identified market trends
C.Guaranteed 100% profit increase
D.Improved operational efficiency
Correct Answer: Guaranteed 100% profit increase
Explanation:BI provides insights to improve chances of success, but it cannot guarantee financial outcomes like a 100% profit increase.
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46Data Mining is most closely associated with:
A.Entering data manually
B.Discovering hidden patterns and relationships in large datasets
C.Backing up data to tape
D.Designing web pages
Correct Answer: Discovering hidden patterns and relationships in large datasets
Explanation:Data mining involves algorithmic exploration of data to find patterns that are not immediately obvious.
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47Which type of user typically uses OLTP systems?
A.CEO / Executives
B.Data Analysts
C.Clerks / Database Administrators
D.Strategic Planners
Correct Answer: Clerks / Database Administrators
Explanation:OLTP is used by operational staff (clerks) for data entry or IT staff (DBAs) for maintenance.
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48In the evolution of BI, what role did the 'Mainframe' play?
A.It provided the first centralized computing for generating static reports
B.It introduced mobile dashboards
C.It created the internet
D.It utilized cloud computing
Correct Answer: It provided the first centralized computing for generating static reports
Explanation:The mainframe era was the starting point, producing static, paper-based reports before interactive tools existed.
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49Key Performance Indicators (KPIs) are essential components of:
A.OLTP transactions
B.Digital Dashboards
C.Unstructured text
D.Network cables
Correct Answer: Digital Dashboards
Explanation:Dashboards rely on KPIs to give users a quick visual representation of performance against goals.
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50Why is 'Context' important in BI?
A.It is not important
B.It turns raw numbers into meaningful information
C.It increases the file size
D.It encrypts the data
Correct Answer: It turns raw numbers into meaningful information
Explanation:Knowing a sales figure is 500 is useless without context (e.g., 500 units sold yesterday vs. 500 units sold last year).
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