Learn how to address business rules in Intelligent Edge solutions for the Microsoft Azure AI-102 certification exam. Discover why building a custom component is the correct approach.
Table of Contents
Question
Your Intelligent Edge solution is required to process data according to business rules set by your organization. How do you meet this requirement?
A. Build a custom component to implement the business rules.
B. Ignore the business rules and process the data as normal.
C. Change the business rules to fit the solution.
D. Apply the business rules to the results manually.
Answer
To meet the requirement of processing data according to your organization’s business rules in an Intelligent Edge solution, the correct answer is:
A. Build a custom component to implement the business rules.
Explanation
Processing data at the Intelligent Edge involves handling data locally or near the source, often before sending it to the cloud. To ensure that the solution adheres to specific business rules set by your organization, you must create a mechanism that enforces these rules during data processing. Here’s why Option A is correct and others are not:
Why Build a Custom Component (Option A)?
Customization Flexibility: Building a custom component allows you to tailor the solution specifically to your organization’s unique business requirements.
Integration with Azure Services: Custom components can be integrated with Azure IoT Edge modules or other Azure AI services to process data efficiently while adhering to predefined rules.
Scalability and Maintainability: Custom components provide a scalable way to update and maintain business logic as organizational needs evolve.
Why Not Other Options?
Option B: Ignore the business rules and process the data as normal.
Ignoring business rules violates organizational requirements and makes the solution non-compliant with expected outcomes.
Option C: Change the business rules to fit the solution.
Adjusting business rules arbitrarily undermines their purpose and may lead to inaccurate or irrelevant results for stakeholders.
Option D: Apply the business rules to the results manually.
Manual application is inefficient, error-prone, and not scalable, especially in real-time or large-scale data processing scenarios.
Key Takeaways for Exam Success
- Understand how Azure IoT Edge enables localized data processing.
- Learn how custom components can enforce specific logic within AI solutions.
- Familiarize yourself with Azure services like Cognitive Services, which can integrate with custom components for enhanced functionality.
By implementing a custom component, you ensure compliance with organizational standards while leveraging Azure’s powerful AI capabilities effectively.
Designing Microsoft Azure AI Solutions skill assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Designing Microsoft Azure AI Solutions exam and earn Designing Microsoft Azure AI Solutions certification.