CITM-001 Exam Questions & Answers

A malicious program that records a user's keystrokes is an example of aTrojan horse. A Trojan horse is a type of malware that masquerades as a legitimate file or application, but secretly performs malicious actions in the background. A Trojan horse can be used to install other malware, such as keyloggers, on the victim's device. A keylogger is a specific type of Trojan horse that captures and sends the user's keystrokes to a remote attacker, who can use them to steal sensitive information, such as passwords, credit card numbers, or personal data.

The other options are not correct because:

Adware is a type of malware that displays unwanted advertisements on the user's device, often redirecting them to malicious websites or installing more malware. Adware does not necessarily record the user's keystrokes, although some adware may have keylogging capabilities.

An anti-virus program is a software that protects the user's device from malware, such as viruses, worms, ransomware, spyware, etc. An anti-virus program does not record the user's keystrokes, but rather scans and removes any malicious programs that may do so.

A performance monitor is a software that measures and displays the performance of the user's device, such as CPU usage, memory usage, disk space, network traffic, etc. A performance monitor does not record the user's keystrokes, but rather provides useful information for troubleshooting or optimizing the device.

CITM Study Guide, Chapter 7: IT Security Management, pp. 131-132

What Is a keylogger and how to detect keystroke logging - Norton

Keylogger: how to recover the infected pc? - Panda Security

According to the CITM study guide, an international firm can adopt different business models depending on its degree of global integration and local responsiveness. The study guide identifies four types of business models: international, multidomestic, global, and transnational. These are similar to the typology of multinational companies proposed by Bartlett and Ghoshal (1989). The study guide defines each business model as follows:

International: The firm operates in multiple countries but has a low degree of global integration and local responsiveness. The firm's subsidiaries are largely independent and follow the parent company's strategy and culture. The firm exploits its core competencies and capabilities across different markets without much adaptation. This business model is also known as theinternational projectoror thecentralized exporter.

Multidomestic: The firm operates in multiple countries and has a high degree of local responsiveness but a low degree of global integration. The firm's subsidiaries are highly autonomous and tailor their products and services to the specific needs and preferences of the local markets. The firm sacrifices efficiency and standardization for differentiation and customization. This business model is also known as themultinational drivenor thedecentralized federation.

Global: The firm operates in multiple countries and has a high degree of global integration but a low degree of local responsiveness. The firm's subsidiaries are highly dependent on the parent company and follow a standardized and centralized strategy and culture. The firm leverages economies of scale and scope to achieve cost efficiency and competitiveness. This business model is also known as theintegrated global ITor thecoordinated federation.

Transnational: The firm operates in multiple countries and has a high degree of both global integration and local responsiveness. The firm's subsidiaries are interdependent and collaborate with each other and the parent company to share and transfer knowledge, resources, and best practices. The firm balances efficiency and adaptation to achieve innovation and learning. This business model is also known as theintellectual synergyor theheterarchical network.

Based on these definitions, the three business models that an international firm might adhere to are B, C, and D. Option A is not a valid business model, but rather a characteristic of the transnational business model.Reference:

CITM Study Guide, Chapter 4: International Business Strategy, pp. 63-66

Bartlett, C.A. and Ghoshal, S. (1989). Managing across borders: The transnational solution.Harvard Business School Press1

System analysis is the process of understanding and specifying the requirements of a system. The third step in system analysis is analysis and design, which involves creating models and diagrams to represent the system's structure, behavior, and interactions. Analysis and design also includes identifying and evaluating alternative solutions, and selecting the best one based on criteria such as cost, feasibility, and user satisfaction.Reference:Certified Information Technology Manager (CITM) - gaqm.org, Module 3 -- System Analysis and Design;CITM 305 - Systems Analysis and Design - Toronto Metropolitan University, Course Description and Sample Course Outline.

Information derived from processing transaction reduces uncertainty about a firm's order backlog or financial position because it provides a quantitative and forward-looking measure of demand. Order backlog is the amount of orders that a firm has received but not yet fulfilled. It reflects the expected future revenue and cash flows of the firm, as well as its ability to meet customer needs and expectations. Order backlog can also indicate the competitive position and market share of the firm, as well as its operational efficiency and capacity utilization. Therefore, disclosing order backlog can help stakeholders such as investors, analysts, managers, and regulators to assess the firm's performance and prospects more accurately and reliably.Reference:Sample Exam - GAQM, page 4;Implications of Disclosing Order Backlog, page 1-2;Backlog Definition, Implications, and Real-World Examples - Investopedia

Data warehousing and data mining are closely related technologies that support business intelligence and analytics. Data warehousing is the process of collecting, integrating, and organizing data from various sources into a centralized repository that can support complex queries and analysis. Data mining is the process of applying various techniques and algorithms to extract useful information and patterns from the data stored in the data warehouse. Data mining can help discover hidden relationships, trends, anomalies, and insights that can improve decision making and performance. One of the main reasons for building a data warehouse is to enable data mining, as data warehouses provide a consistent, reliable, and comprehensive source of data that can be mined for various purposes. Data warehouses also facilitate data mining by providing data quality, data cleansing, data transformation, data aggregation, and data indexing services that can enhance the accuracy and efficiency of data mining. Data warehouses and data mining are complementary technologies that work together to deliver business value and competitive advantage.Reference:Data Warehousing and Data Mining 101,Data Warehousing and Data Mining - Topcoder,Difference between Data Warehousing and Data Mining