Title: Default for BAS4SC - BI EN
Course: BAS4SC - BI EN

Q: What is the most important factor in achieving high data quality?
- Accuracy, completeness, consistency, and timeliness of data
- The ability to visualize data
- Constantly updating data
- Increasing the amount of data collected
A: Accuracy, completeness, consistency, and timeliness of data

Q: What does the concept of "Big Data" represent in the context of BI?
- Large volumes of data that require new architectures and analytics to create value
- Data generated only within an organization
- Exclusively structured data
- Data used only in forecasting
A: Large volumes of data that require new architectures and analytics to create value

Q: Which of the following is an example of qualitative data?
- Customer feedback such as "satisfied" or "dissatisfied"
- Temperature in degrees Celsius
- Number of employees in a company
- Time of task execution in seconds
A: Customer feedback such as "satisfied" or "dissatisfied"

Q: What is the main purpose of Business Process Management (BPM)?
- Improvement and optimization of business processes
- Automatic data generation
- Data mining
- Data storage
A: Improvement and optimization of business processes

Q: Which technique is most commonly used to document business processes in BPM?
- BPMN diagrams
- RDBMS diagrams
- UML class diagrams
- ERD diagrams
A: BPMN diagrams

Q: In BPMN, start, intermediate and end, are types of:
- Events
- Gateways
- Activities
- Artifacts
A: Events

Q: In process mining, what does the event log not have to contain?
- A resource
- A case
- An activity
- A timestamp
A: A resource

Q: In BPMN, if there is two or more tasks which needs to be executed simultaneously, which gateway will you use?
- AND
- XOR
- OR
- IF
A: AND

Q: Which type of system uses geographic data to optimize routes and deliveries?
- GIS systems
- ERP systems
- CRM systems
- HRM systems
A: GIS systems

Q: What does the DIKW pyramid represent in the context of data analysis?
- The hierarchy of transforming data into information, knowledge, and wisdom
- The process of data creation
- A model for interpreting numerical data
- A tool for data visualization
A: The hierarchy of transforming data into information, knowledge, and wisdom

Q: What is the fundamental difference between data and information according to the DIKW pyramid?
- Information has context, while data alone is meaningless
- Data is structured, while information is unorganized
- Data includes wisdom, while information does not
- Information is less important than data
A: Information has context, while data alone is meaningless

Q: What is the main role of information systems in logistics?
- Optimizing and coordinating logistics processes
- Reducing the amount of data
- Collecting financial data
- Automating all business functions
A: Optimizing and coordinating logistics processes

Q: The total cost of implementing an ERP system which includes expenses related to software licensing, hardware requirements, implementation, maintenance, consulting, formal and informal training, are considered as:
- Total cost of ownership
- Development cost
- Module cost
- Total application cost
A: Total cost of ownership

Q: Which of the following systems is used to track the movement of goods in real-time?
- WMS systems
- CRM systems
- ERP systems
- GIS systems
A: WMS systems

Q: What is the main function of GIS in logistics?
- Analyzing and visualizing geographic data
- Collecting financial data
- Warehouse management
- Human resources automation
A: Analyzing and visualizing geographic data

Q: What is not the main benefit of WMS system?
- Increased waste and costs
- Improved operational efficiency
- Real-time inventory visibility
- Better customer and supplier relationships
A: Increased waste and costs

Q: Which technology is often used with GIS for vehicle tracking?
- GPS
- RFID
- CRM
- ERP
A: GPS

Q: What type of analysis is used in GIS to evaluate market coverage?
- Spatial analysis
- Financial analysis
- Feedback analysis
- Time series analysis
A: Spatial analysis

Q: In GIS, what is grid-based data made up of pixels or cells called?
- Raster data
- Vector data
- Spatial data
- Structured data
A: Raster data

Q: Which of the following is not a basic component of GIS?
- Costs
- Hardware
- Software
- People
A: Costs

Q: How can the Gestalt principle of similarity be applied in data visualization?
- By grouping elements of similar color, shape, or size to emphasize connections between data
- By applying different chart types within the same visualization to display data
- Using different colors for each piece of information to emphasize their uniqueness
- By placing objects far from each other to highlight their diversity
A: By grouping elements of similar color, shape, or size to emphasize connections between data

Q: You have been given the task of showing the relationship between two numerical variables and determining whether there is any correlation between them. What type of graph is most appropriate for this visualization?
- Scatterplot chart
- Line chart
- Bar chart
- Pie chart
A: Scatterplot chart

Q: The moral principles and practices guiding the collection, processing, sharing, and utilization of data to ensure respect for individuals' rights, societal well-being, and trust, are called:
- Data ethics
- Data quality
- Data visualization
- Data integrity
A: Data ethics

Q: How does the KISS principle influence the choice of graphical elements (e.g. lines, points, columns) in data visualization?
- Emphasizes the use of minimalist graphic elements that facilitate understanding
- Recommends the use of complex graphical elements to display data
- It suggests using only 3D graphic elements
- Encourages frequent changes to graphic elements within a single visualization
A: Emphasizes the use of minimalist graphic elements that facilitate understanding

Q: When to use warm colors (e.g. red, orange) in visualizations?
- To draw attention to certain parts of the visualization
- To display background information
- To mark areas with lower values
- To indicate missing data
A: To draw attention to certain parts of the visualization

Q: What is the function of the triadic color scheme in color theory?
- Creating high contrast and attracting attention
- Creating a calm and unobtrusive design
- Displaying information hierarchy
- Focusing on one main color
A: Creating high contrast and attracting attention

Q: Which of the following is not one of the 3 basic tenets of information security?
- Equality
- Confidentiality
- Integrity
- Availability
A: Equality

Q: Ethical hackers, who use their skills for defensive purposes, are called:
- White hat hackers
- Black hat hackers
- Grey hat hackers
- Orange hat hackers
A: White hat hackers

Q: A type of malware that attaches itself to a legitimate program or file and spreads to other programs and files when the infected software is executed, is called:
- Virus
- Ransomware
- Phishing
- Spyware
A: Virus

Q: What is phishing?
- Attacks that involve fraudulent emails, texts, calls, or websites designed to deceive individuals into disclosing personal information or downloading malware
- The process of encrypting sensitive data to protect against cyberattacks
- A method of search engine optimization by which websites get a better ranking on search engines
- A way to download legitimate software from the Internet without violating copyright
A: Attacks that involve fraudulent emails, texts, calls, or websites designed to deceive individuals into disclosing personal information or downloading malware

Q: What is the main goal of Big Data Analytics (BDA)?
- Gaining valuable insights from large amounts of data
- Increasing the number of employees
- Storing large volumes of data
- Automating office processes
A: Gaining valuable insights from large amounts of data

Q: What are the elements of the BDA ecosystem?
- Business data, data mining, decision support systems
- Logistics, HR, and marketing
- Only internal data
- Financial reports and Excel tools
A: Business data, data mining, decision support systems

Q: What term describes the combination of data volume, velocity, variety, veracity, and value?
- The Five V’s of Big Data
- BI five-pack
- SMART criteria
- SWOT analysis
A: The Five V’s of Big Data

Q: What is the primary purpose of descriptive analytics?
- Analyzing past events to gain insights
- Predicting future trends
- Making strategic decisions without data
- Automating decision-making
A: Analyzing past events to gain insights

Q: Which analytics method suggests specific actions based on data?
- Prescriptive
- Descriptive
- Predictive
- Exploratory
A: Prescriptive

Q: What is the goal of data mining?
- Discovering hidden patterns and rules in data
- Visualizing data
- Deleting unnecessary data
- Creating Excel charts
A: Discovering hidden patterns and rules in data

Q: Which method is used for drawing conclusions based on expert opinions?
- Delphi method
- AHP
- SWOT
- Monte Carlo
A: Delphi method

Q: Which of the following is not a data mining method?
- Brainstorming
- Classification
- Clustering
- Regression
A: Brainstorming

Q: What is the first step in the CRISP-DM process?
- Business understanding
- Modeling
- Data preparation
- Evaluation
A: Business understanding

Q: What is the main difference between Big Data and Data Mining?
- Big Data refers to data volume; Data Mining refers to analysis
- Big Data is a newer term
- Big Data uses Excel; Data Mining does not
- Big Data includes only structured data
A: Big Data refers to data volume; Data Mining refers to analysis

Q: What is the primary purpose of machine learning in business intelligence?
- Detecting patterns and predicting future events
- Manually programming all business rules
- Automating Excel spreadsheets
- Storing large volumes of data
A: Detecting patterns and predicting future events

Q: What is the difference between supervised and unsupervised learning?
- Supervised uses labeled data, unsupervised does not
- There is no difference
- Supervised uses graphs, unsupervised uses tables
- Unsupervised uses only numerical data
A: Supervised uses labeled data, unsupervised does not

Q: What is a common application of machine learning in supply chains?
- Demand forecasting
- Printing invoices
- Warehouse handling
- Creating offers
A: Demand forecasting

Q: What is the term for intelligent systems that support decision-making?
- Decision Support System (DSS)
- WMS
- GPS
- SCM
A: Decision Support System (DSS)

Q: Which technology is used for making customer recommendations?
- Machine learning
- SWOT analysis
- ERP system
- Database
A: Machine learning

Q: What is the main goal of e-logistics?
- Integration of digital and physical flows in logistics
- Increasing the number of warehouses
- Reducing labor costs
- Full automation of the vehicle fleet
A: Integration of digital and physical flows in logistics

Q: E-logistics is a part of the broader concept of:
- E-business
- E-commerce
- Email systems
- Electronic payments
A: E-business

Q: Which technology enables real-time shipment tracking?
- GPS
- ERP
- CRM
- WMS
A: GPS

Q: What is the primary objective of Data Mining?
- To uncover hidden patterns and trends in massive datasets
- To generate large volumes of data for analysis
- To make data storage systems more efficient
- To visualize business processes
A: To uncover hidden patterns and trends in massive datasets

Q: What is the difference between Data Mining and Big Data technology?
- Data Mining involves analyzing large data sets to uncover hidden patterns, while Big Data technology focuses on managing and storing vast amounts of data
- Data Mining is used to store data, while Big Data technology analyzes it
- Data Mining is a more advanced form of Big Data technology
- Big Data is part of traditional database systems
A: Data Mining involves analyzing large data sets to uncover hidden patterns, while Big Data technology focuses on managing and storing vast amounts of data