Authentic WGU Certification Exam Information-Technology-Management Questions Answers

Understanding Data Models:

Adata modelis a logical data structure that uses visual representations (e.g., diagrams) to illustrate relationships among data elements.

It helps in organizing data and defining how various entities interact within a database system.

Application in the Scenario:

The use of graphics to illustrate data relationships aligns with the concept of a data model.

Examples include entity-relationship diagrams (ERDs) and conceptual models.

Why Other Options Are Incorrect:

Option A (Integration):Integration connects systems or data sources but does not represent data relationships graphically.

Option B (Structured Query Language):SQL is used for querying and managing databases, not visualizing data structures.

Option D (Relational database model):This defines a specific type of database architecture but does not inherently involve graphics.

References:

Data Modeling Concepts – IBM Documentation

Entity-Relationship Modeling Explained – Oracle Whitepaper

Definition of the Accountability vs. Ownership Paradox:

This paradox arises when a CIO isheld accountable for the results of technology initiativesbut lacks authority over critical business processes or decisions that impact those results.

It reflects a misalignment betweenresponsibility and control.

Impact on Organizations:

Leads to inefficiencies and miscommunications between IT and other business units.

Creates barriers to achieving organizational goals due to lack of cohesive decision-making authority.

Incorrect Options Analysis:

A:This describes strategic planning, not the paradox.

B:Relates to organizational change, but does not capture the accountability dilemma.

D:Refers to concerns about competitive disruption, unrelated to the paradox.

References and Documents of Information Technology Management:

"CIO Accountability Frameworks" (Forrester Research).

ITIL Governance Practices: Bridging Accountability Gaps (Axelos).

Understanding DevOps:

DevOps is an approach to software development and IT infrastructure that emphasizes collaboration between development and operations teams.

The key goal is to automate processes, streamline workflows, and deploy high-quality code faster.

Key Features of DevOps:

Continuous integration and continuous delivery (CI/CD) to automate code testing and deployment.

Emphasis on collaboration and automation to minimize manual interventions and reduce errors.

Why Other Options Are Incorrect:

Option A (Theory of reciprocity):Not relevant to IT development or infrastructure.

Option C (Business architecture):Focuses on organizational structure and strategy, not code automation.

Option D (Bimodal IT):Balances traditional IT with agile IT but does not focus explicitly on automation or quality code delivery.

References:

"DevOps Principles and Practices" – DevOps Institute

"Automating Development with DevOps" – AWS Documentation