Preview Questions Digital Transformation Manager | Role Specific Skill

Question 1: What are the key performance indicators (KPIs) that IoT systems help track in chemical plants?

Which action should you take?

Choose only one option

KPIs are not required in IoT systems for chemical plants

Energy consumption, equipment uptime, production efficiency, and emissions data

IoT systems do not track KPIs, as they focus only on operational processes

Only equipment uptime and energy usage, without considering other metrics

Question 2: When implementing a digital transformation in a chemical plant, what is the first step in managing change effectively?

Which action should you take?

Choose only one option

Focus only on technology implementation without addressing people or culture

Communicate the vision and purpose of the change to all stakeholders

Immediately implement technology without prior communication

Train employees before any awareness campaigns

Question 3: What is the benefit of using serverless computing in a digital transformation project in the chemical industry?

Which action should you take?

Choose only one option

It only benefits industries with low data processing needs

It allows for scalable, on-demand processing without managing infrastructure

It isolates applications without allowing for integration

It reduces the need for cloud storage

Question 4: How does IoT integration assist in asset tracking and management in chemical plants?

Which action should you take?

Choose only one option

By eliminating the need for any asset management systems

By providing real-time location and condition data of critical assets, improving tracking efficiency

By ignoring the condition of assets and focusing on location alone

By only tracking assets when they are in use

Question 5: How do you manage and monitor cloud costs associated with running high-performance computing applications for chemical simulations in the cloud?

Which action should you take?

Choose only one option

Use only on-demand instances without tracking usage

Ignore cloud costs and focus on performance

Implement cost management and monitoring tools to track resource usage, optimize resource allocation, and use reserved instances or spot instances to reduce costs

Avoid using performance-optimized cloud services

Question 6: How do you ensure that the AI models used in a digital transformation initiative are interpretable and explainable, especially in a regulatory environment like chemicals and petrochemicals?

Which action should you take?

Choose only one option

Focus only on model accuracy and ignore interpretability

Use black-box models without explaining their decisions

Use techniques like SHAP (SHapley Additive exPlanations) values or LIME (Local Interpretable Model-Agnostic Explanations) to ensure transparency in AI decision-making

Rely on manual documentation for model explanations