Module 4-6 System Integ and Architecture 1

Which integration method uses message brokers to handle the flow of data between components?

What is the importance of error handling techniques like retry logic and dead-letter queues in integration?

What is the primary purpose of data transformation?

In event-driven integration, what is the main advantage of using loosely coupled systems?

What happens during the “Transform” phase of ETL?

Which of the following is a benefit of middleware in terms of system maintenance?

Which integration pattern is most aligned with microservices architecture and API-driven development?

In which transformation technique is data standardized to minimize errors and improve consistency?

What is a key use case of the File Transfer pattern in data-centric integration?

Which tool is known for managing and automating ETL workflows but does not perform transformation itself?

Which technique unifies data from different datasets to support accurate analytics?

What is the purpose of discretization in data transformation?

What is the primary benefit of using the ETL (Extract, Transform, Load) pattern in data-centric integration?

Which of the following middleware technologies is known for distributed event streaming and real-time analytics?

What does ETL stand for in data integration?

Which use case is best suited for real-time data processing?

The “Load” phase in ETL involves:

Which of the following is a hybrid approach in data processing?

What are some common communication protocols supported by middleware?

One of the key roles of middleware in system integration is to:

Which of the following integration patterns focuses on establishing a single source of truth for data?

Which of the following tools is NOT typically used for ETL processes?

What does middleware use to ensure secure data exchange?

What is the main purpose of middleware in a distributed network?

What is a trade-off of using real-time processing over batch processing?

Which of the following best describes the Adapter pattern in application-centric integration?

Which integration approach is suitable for systems that need to react in realtime to changing environmental condition?

How does middleware promote loose coupling in integration?

Which enterprise tool supports high-volume data integration with parallel processing and real-time transformation?

What is one of the key considerations when using data-centric integration?

Which technique involves creating new features or variables from existing ones?

What is a common goal of using ETL in organizations?

What does deduplication aim to remove from a dataset?

How does middleware support interoperability?

Aggregation is used to:

Which statement best describes batch processing?

During the “Extract” phase of ETL, data is:

Which middleware platform is recognized for its API-led connectivity approach?

Which of the following best describes middleware?

What is a benefit of using the Facade pattern?