Test on Information Systems: Concepts and Management
Information Systems: Concepts & Management for Students
Test: Information Systems & Business IT Management, Core Information Systems Concepts, Information Systems & Business Applications, Software & Project Management: Information Systems Development, ERP Systems & Modules, Business Process Management & Analytics, Relational Database Modeling Concepts, Software & Project Management: Software Types, Software & Project Management: Cloud & SaaS, Digital Transformation Strategy & Assessment, Corporate IT Development & Systems, Digital Transformation in Organizations, Digital Transformation & Information Systems, Information Systems & Business Analysis, IT Management & Corporate IT Governance, Industry 4.0 Implementation & Levels, Corporate IT Service & Operations, Data Analytics & AI Methods, IT Failures & Risk Management, Software & Project Management: Project Management & Evaluation, Outsourcing & IT Sourcing, Information Systems Development & Methods, Information Systems Implementation & Testing, Information Systems Operations & Maintenance, Software & Project Management: Development Methods & Models, ERP Implementation & Customisation, ERP Selection & Implementation, Supply Chain & Manufacturing Processes, Business Process Management Systems, Automation & RPA, Business Analytics & BI, Data Engineering & Management, Relational Database Design & Implementation, Relational Database Theory & Normalization
20 questions
Question 1: Robot Process Automation (RPA) primarily involves the deployment of physical robots to execute administrative tasks within digital environments.
A. Ano
B. Ne
Explanation: RPA utilizes 'bots' that mimic tasks previously performed by humans in a computer system, and the study materials explicitly state that these are 'not robots', referring to software bots rather than physical ones.
Question 2: According to the provided study materials, which of the following are essential characteristics that RPA processes must fulfill?
A. They must be rule-based.
B. They must repeat at regular intervals, starting with a defined event.
C. They must have defined inputs and outputs.
D. They must require continuous human intervention for task completion.
Explanation: The study materials state that RPA processes must fulfill the following main characteristics: be rule-based; repeat at regular intervals starting with a defined event; and have defined inputs and outputs. The material also notes that RPA bots mimic tasks without human intervention, making continuous human intervention for task completion an incorrect characteristic.
Question 3: The self-confirmation trap in data-driven decision making involves decision-makers prioritizing findings that align with their existing beliefs, while disregarding data that contradicts them.
A. Ano
B. Ne
Explanation: The study materials state that 'Decision making is prone to several common data-driven decision traps, such as self-confirmation which is when the decision maker pays more attention to findings aligned with their prior beliefs, ignoring data that does not align with them.'
Question 4: According to the study materials, which of the following characteristics are essential for the usability of Business Intelligence (BI) systems, particularly for managers?
A. They must offer homogeneous functionality and use for all people and locations.
B. They should be intuitive and designed for occasional users who are not IT experts.
C. They aim to reduce the time and effort managers need to invest in obtaining information.
D. They prioritize complex textual reports over graphical information to ensure data precision.
Explanation: The study materials state that BI systems' usability involves offering homogeneous use across all people and locations, being intuitive for occasional users who are not IT experts, and reducing the time and effort managers must invest in obtaining information. Management-oriented presentations tend to make maximum use of graphical information, not complex textual reports, to achieve these goals.
Question 5: Predictive modelling is primarily a data processing technique used to assign subjects to predefined categories, such as identifying solvent or insolvent borrowers.
A. Ano
B. Ne
Explanation: Predictive modelling is used to forecast future outcomes of a phenomenon, predict a continuous dependent variable, and model time series. The technique primarily used to assign subjects to predefined categories is classification, not predictive modelling.