Pass the GAQM: Management CITM-001 Questions and answers with ValidTests

Data are often proprietary or confidential because they contain valuable information that can give a competitive advantage to the owner or affect the privacy of the individuals or entities involved. Data can be classified into different levels of sensitivity and protection, depending on the potential impact of unauthorized disclosure, modification, or loss. For example, data that contain personal, financial, or health information of customers or employees are usually considered highly confidential and require strict security measures. Data that contain trade secrets, intellectual property, or strategic plans are also typically proprietary and confidential, as they can affect the market position or reputation of the owner. Data that are public or non-sensitive, such as general information about products or services, may not require the same level of protection, but still need to be managed and maintained properly. References: CITM Course Outline, Module 6 - Data Management, Section 6.1 - Data Classification and Protection; Sample Exam, Question 72.

 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 the international projector or the centralized 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 the multinational driven or the decentralized 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 the integrated global IT or the coordinated 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 the intellectual synergy or the heterarchical 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. References:

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

Knowledge is a strategic resource for many organizations because it enables them to create value, innovate, and compete in the knowledge economy. Knowledge management is the process of acquiring, creating, sharing, and applying knowledge to achieve organizational goals and objectives. Knowledge strategies are the plans and actions that align the knowledge resources and capabilities of an organization with its intellectual requirements and strategic direction. A knowledge strategy defines how anorganization intends to use knowledge as a source of competitive advantage and how it will manage its knowledge assets and processes effectively and efficiently. References:

Knowledge Strategies - Cambridge University Press & Assessment1

Strategic knowledge management: theory, practice and future challenges - Emerald Insight2

Managing organizational knowledge as a strategic asset - Emerald Insight3

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. References: 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.

Application software is a type of computer program that performs a specific personal, educational, or business function. It is designed to help users perform an activity or solve a problem. Application software can be classified into two basic categories: general-purpose and specific-purpose. General-purpose application software can be used for a variety of tasks, such as word processing, web browsing, or image editing. Specific-purpose application software is tailored for a particular domain, such as accounting, engineering, or gaming12

According to these definitions, Adobe Photoshop, Internet Explorer, and Microsoft Word are examples of application software. Adobe Photoshop is an image editing software that allows users to create and modify digital images. Internet Explorer is a web browser software that enables users to access and view web pages. Microsoft Word is a word processor software that allows users to create and edit text documents. All these software are designed to help users perform specific tasks and are independent of the operating system or hardware.

On the other hand, Linux and Unix are not examples of application software. They are examples of system software, which is a type of computer program that controls and manages the operation of the computer and its peripherals. System software includes operating systems, device drivers, firmware, and utilities. Operating systems, such asLinux and Unix, are system software that provide the basic functions and services for running other software and applications. They are responsible for managing the hardware resources, such as memory, CPU, disk, and network, and providing the user interface, such as command-line or graphical. System software is essential for the functioning of the computer and is usually pre-installed or embedded in the computer123 References: 1: Application software | Definition, Examples, & Facts | Britannica, 2: What is Application Software? App Software Examples and Basics - Quickbase, 3: Application software - Wikipedia

 In a database, each row represents a single, implicitly structured data item in a table. A row is also called a record or a tuple. A record contains multiple fields, each one defined in a different column. A field is the intersection of a row and a column, and it holds a single value. A column is also called an attribute or a field name, and it defines the type and constraints of the data in that column. References:

https://stackoverflow.com/questions/13774547/in-databases-whats-the-difference-between-the-words-row-and-record

https://database.guide/what-is-a-row/

A foreign key is a column or a set of columns in one table that references the primary key of another table. It is used to create a link and relationship between tables in a relational database. A foreign key ensures that the values in the referencing table match the values in the referenced table, thus maintaining the referential integrity of the database12. A foreign key can also be used to implement constraints such as cascading updates or deletes3. References: 1: CITM Study Guide, Chapter 3: Database Management Systems, Page 41. 2: Types of Keys in Relational Model (Candidate, Super, Primary, Alternate and Foreign) 3: Database Keys: The Complete Guide (Surrogate, Natural, Composite & More)

The select clause corresponds to the projection operation of the relational algebra. It is used to list the attributes desired in the result of a query. For example, the query select name, age from student will return the name and age attributes of all tuples in the student relation12. References: 1: CSE132A F05 SQLpart1 - University of California, San Diego 2: Basic Operations - RDBMS Questions and Answers - Sanfoundry

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. References: Data Warehousing and Data Mining 101, Data Warehousing and Data Mining - Topcoder, Difference between Data Warehousing and Data Mining

Rotational delay is the time it takes for the desired sector of the disk to rotate under the read-write head after the head has been positioned at the correct track. It depends on the rotational speed of the disk and the position of the sector relative to the head. It is one of the components of data access delay, along with seek time, transmission delay, and processing delay. References: Delays in Computer Network - GeeksforGeeks, Access time - Wikipedia