WGU Updated Introduction-to-IT Exam Questions and Answers by wiktoria

Application software and operating systems serve different purposes within a computer system. The primary distinction lies in their functionality and interaction with the computer’s hardware and the user.

•Operating Systems (OS):

oAn OS is system software that acts as an intermediary between the user and the computer hardware.

oIt manages and coordinates the hardware components of a computer system, including the CPU, memory, storage devices, and peripheral devices.

oThe OS provides a platform for application software to run and facilitates user interaction with the system through a user interface.

oExamples include Microsoft Windows, Linux, and macOS.

•Application Software:

oApplication software consists of programs designed to perform specific tasks for the user.

oThese tasks can range from productivity applications like word processors and spreadsheets (Answer A) to communication tools like email clients (Answer B).

oUnlike the OS, application software does not manage hardware resources directly. Instead, it relies on the OS to provide these services.

oExamples include Microsoft Word, Excel, and Mozilla Firefox.

•Key Differences:

oApplication software is run by the end-user to perform specific tasks, while the OS runs in the background, managing the overall operation of the computer system.

oThe OS directly supports and manages the computer hardware system, which is not the case for application software.

Business Intelligence (BI) systems are designed to analyze data and provide actionable information that aids in strategic decision-making. The purpose of a BI system is not merely to integrate departments or provide access to raw data, nor is it limited to using only proprietary data. Instead, BI systems enable organizations to make informed decisions based on the analysis of a wide range of data. Here’s how they work:

1.Data Collection: BI systems collect data from various sources within the organization, including all departments.

2.Data Storage: The collected data is then stored in a secure and accessible manner, often in data warehouses.

3.Data Analysis: BI tools analyze this data to find patterns, trends, and insights. This analysis can include descriptive analytics to understand past performance and predictive analytics to forecast future trends.

4.Information Presentation: The insights are then presented in an understandable format, such as reports or dashboards, which decision-makers can use to guide their strategic choices.

Execution is the project management life cycle stage where project deliverables are developed and the planned work is carried out. In Information Technology projects, this is the phase in which teams build, configure, code, test, and implement the products, services, or systems defined in the project plan. Resources are assigned to tasks, progress is tracked, and project managers coordinate people, time, and tools to ensure work aligns with requirements and scope. Planning defines how the work will be done, including schedules, budgets, milestones, and risk responses, but it does not produce the final deliverables. Initiation establishes goals, scope boundaries, and approval to begin. Closure occurs after deliverables are completed and accepted and includes documentation, sign-off, handover, and lessons learned. Because the question asks which stage involves developing deliverables, it refers to the phase where actual production happens. Therefore, the correct answer is execution.

SMART is a goal-setting framework commonly used in IT project management to define clear, trackable objectives. SMART stands for specific, measurable, achievable, relevant, and time-bound. The guideline that best matches SMART is creating criteria that can be used to measure success, because measurable goals require defined indicators and metrics to determine whether the goal has been achieved. In IT projects, measurable criteria might include performance benchmarks, uptime targets, defect rates, delivery dates, cost limits, or user adoption percentages. Option A aligns more with the collaborative emphasis found in frameworks like CLEAR. Option C relates to emotional connection, which is also a CLEAR characteristic. Option D mentions limiting scope and time, which partially resembles being time-bound and achievable, but the statement most directly and uniquely reflects SMART is the measurable requirement. Without measurable criteria, teams cannot objectively evaluate progress or confirm completion, which can lead to scope creep and unclear outcomes. Therefore, the SMART guideline represented in the options is creating criteria that can be used to measure success.