GAQM CITM-001 Practice Test - Questions Answers, Page 2

Interpreting information means understanding its meaning and implications in a given context. Two factors that are important while considering interpreting information are external and situational. External factors refer to the sources, reliability, validity, and timeliness of the information. Situational factors refer to the purpose, audience, and expectations of the information. These factors help to evaluate the relevance, accuracy, and usefulness of the information for a specific situation or problem.Reference:Certified Information Technology Manager (CITM) - gaqm.org, page 7;Certified Information Technology Manager (CITM) - GAQM, Module 2 -- Understanding and Interpreting Information.

Important decisions may require more care in analyzing data because they have higher stakes, greater uncertainty, and more complexity. Data analysis can help managers to identify patterns, trends, correlations, and causal relationships that can inform their decision making. Data analysis can also help managers to evaluate alternatives, test hypotheses, and predict outcomes. However, data analysis is not a substitute for judgment, intuition, and creativity. Managers should also consider the quality, reliability, and validity of the data, as well as the ethical and social implications of their decisions.Reference:CITM Course Outline,Sample Exam - GAQM,TEST 1 2020, questions and answers - CITM 102 TEST BANKS ... - Studocu

An analytic decision maker looks for quantitative information, or data that can be counted or measured in numerical values. An analytic decision maker uses logic, facts, and statistics to make decisions, and prefers objective and structured data. A heuristic decision maker, on the other hand, looks for qualitative information, or data that is descriptive and not expressed numerically. A heuristic decision maker uses intuition, experience, and judgment to make decisions, and prefers subjective and unstructured data.Reference:CITM Study Guide, page 8, section 2.3;What is Quantitative Data?, paragraph 2.

Managerial control decisions are those that involve measuring and correcting the performance of activities of subordinates to ensure that the enterprise objectives and plans are being accomplished. Managerial control decisions fall between operational and strategic planning because they are concerned with both executing the strategy and tracking its progress. Operational control decisions are those that focus on the efficiency and effectiveness of specific processes, tasks, and functions. Strategic control decisions are those that evaluate the alignment of the strategy with the external and internal environment, and make adjustments if necessary.Reference:Managerial Control: Definition, Features, Scope, and Process,Types and Levels of Control -- Principles of Management,The Control Function of Management - MIT Sloan Management Review

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 an organization intends to use knowledge as a source of competitive advantage and how it will manage its knowledge assets and processes effectively and efficiently.Reference:

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

Explicit knowledge is the type of knowledge that can be easily articulated, expressed, and recorded in the form of text, number, symbol, code, formula, or musical note. It is the knowledge that is based on facts, data, and rules that can be shared and communicated.Examples of explicit knowledge are company policies, process documents, research reports, etc12345Reference:

1: Different Types of Knowledge: Implicit, Tacit, and Explicit | Bloomfire

2: Tacit Knowledge Vs. Explicit Knowledge - Association for Intelligent Information Management

3: Tacit Knowledge: Definition, Examples, and Importance - Helpjuice

4: Explicit Knowledge: Definition, Examples, and Methods - Document360

5: Difference Between Explicit Knowledge and Tacit Knowledge - Key Differences

Tacit knowledge is the knowledge that is acquired from one's own experience, which cannot be easily expressed through words or pictures. It is personal, subjective, and based on intuition and insights. It is difficult to explain because it is often implicit, uncodified, and context-specific. Examples of tacit knowledge include facial recognition, riding a bike, or playing a musical instrument.Reference:Tacit Knowledge Vs. Explicit Knowledge,Difference Between Explicit Knowledge and Tacit Knowledge,Tacit vs explicit knowledge: Exploring the key differences,Different Types of Knowledge: Implicit, Tacit, and Explicit,Explicit Knowledge: Definition, Examples, and Methods

System analysis is the process of understanding problems and needs and arriving at solutions that meet them. It involves identifying, defining, and specifying the requirements of a system, as well as designing, developing, testing, and implementing the system.According to Wikipedia1, system analysis can be broken into five phases: scope definition, problem analysis, requirements analysis, logical design, and physical design.However, according to MasterStart2, there are seven stages of system development life cycle (SDLC), which include planning, requirements analysis, designing, development and testing, implementation, documentation, and evaluation. Therefore, depending on the perspective and the methodology, system analysis can involve three to seven stages, but the most common number is three: requirements analysis, logical design, and physical design.Reference:Wikipedia;MasterStart

The second step in System Analysis is to conduct a feasibility study, which is an assessment of the technical, economic, legal, operational, and schedule aspects of the proposed system. A feasibility study helps to determine whether the system is viable, beneficial, and achievable within the given constraints and resources.A feasibility study also helps to identify the risks, costs, benefits, and alternatives of the system.Reference:1,2,3

1: Certified IT Manager (CITM) Course Outline, EPI-AP, page 92: System Analysis vs System Design - What are the Differences?, GeeksforGeeks, section ''Differences between System Analysis and System Design''3: Step Response of Second Order System - Online Tutorials Library, TutorialsPoint, section ''Follow these steps to get the response (output) of the second order system in the time domain.''