IIA Updated IIA-CIA-Part3 Exam Questions and Answers by ariyan

Understanding Predictive Analytics:

Predictive analytics involves using historical data, statistical algorithms, and machine learning techniques to forecast future trends and behaviors.

It applies assumptions and models patterns to predict outcomes, helping businesses make proactive decisions.

Why Option B is Correct:

Predictive analytics is forward-looking and uses assumptions (e.g., weather conditions) to predict where stock levels would decrease more quickly.

This aligns with the goal of predictive analytics: forecasting potential events before they occur.

Why Other Options Are Incorrect:

A. Analyzed instances where parts were out of stock before scheduled deliveries: This is descriptive analytics, as it looks at past data without making future predictions.

C. Analyzed past stockouts and found a correlation with stormy weather: This is diagnostic analytics, as it identifies past correlations but does not predict future trends.

D. Modeled different scenarios for stock reordering and delivery decisions: This is prescriptive analytics, which focuses on decision-making rather than predictions.

IIA Standards and References:

IIA GTAG on Data Analytics (2017): Highlights predictive analytics as a tool for forecasting risks and operational inefficiencies.

IIA Standard 1220 – Due Professional Care: Encourages auditors to use analytical techniques to anticipate potential issues.

COSO ERM Framework: Supports the use of predictive models to improve risk management and strategic planning.

Thus, the correct answer is B: A supplier of electrical parts analyzed sales, applied assumptions related to weather conditions, and identified locations where stock levels would decrease more quickly.

Data extraction involves retrieving data from various sources for processing or storage. Among the options provided, the database system is the component that facilitates data extraction from an application. Here's why:

A. Application Program Code:

While the application program code defines the logic and functionality of an application, it doesn't inherently provide mechanisms for data extraction. Instead, it interacts with databases to perform operations like data retrieval, insertion, or modification.

B. Database System:

A database system is designed to store, manage, and retrieve data efficiently. It offers structured methods, such as querying with SQL, to extract specific data as needed. Applications rely on the database system to access and extract the required data for various operations. For instance, in a relational database, data extraction is performed using SQL queries that retrieve data based on specified criteria. This process is fundamental to operations like reporting, analytics, and data migration.

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C. Operating System:

The operating system manages hardware resources and provides services for application execution but doesn't directly handle data extraction from applications. It ensures that applications have the necessary environment to run but delegates data management tasks to the database systems.

D. Networks:

Networks facilitate data transmission between systems but don't directly extract data from applications. They provide the pathways for data to travel between clients and servers or between different systems but aren't responsible for the extraction process within an application.

In summary, the database system is the component that provides the necessary tools and methods for data extraction within an application, making option B the correct answer.

According to IIA guidance on IT project success, successful IT projects focus on delivering critical, high-value features that support business objectives rather than overloading with unnecessary features.

Let’s analyze each option:

A. Streamlined decision-making, rather than building consensus among users.

Incorrect. While efficient decision-making is important, user consensus is crucial to IT project success, as user adoption affects the outcome. Ignoring user feedback can lead to project failure.

B. Consideration of the facts, rather than consideration of the emotions displayed by project stakeholders.

Incorrect. Stakeholder emotions and concerns must be managed properly. Ignoring stakeholder engagement can lead to resistance and project failure.

C. Focus on flexibility and adaptability, rather than use of a formal methodology.

Incorrect. IT projects must follow structured methodologies (Agile, Waterfall, etc.). A lack of formal methodology increases project risks.

D. Inclusion of critical features, rather than inclusion of an array of supplementary features. ✅ (Correct Answer)

Correct. IT projects should focus on delivering core, high-impact features that align with business needs. Adding too many non-essential features increases costs, complexity, and delays.

IIA GTAG (Global Technology Audit Guide) – Auditing IT Projects – Focuses on IT project governance and success factors.

COBIT Framework – IT Governance and Management – Emphasizes prioritization of key project features.

ISO/IEC 27001 – IT Risk Management – Discusses project management best practices.

IIA Standard 2110 – Governance – Covers IT project oversight and stakeholder management.

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