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Integration & Data Flow Management Flashcards

9 cards from real BPA practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

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  1. What is the purpose of API integration in automation?

    Answer: To connect software systems

    The purpose of API (Application Programming Interface) integration in automation is to enable different software systems to communicate and exchange data with each other programmatically. APIs define the rules for how applications can interact, facilitating seamless data transfer and triggering actions between systems without manual intervention. This is crucial for building interconnected automated workflows.

  2. Which protocol is commonly used for data transfer between web services?

    Answer: REST

    REST (Representational State Transfer) is an architectural style widely adopted for designing networked applications, particularly web services. It defines a set of principles for how web services communicate, making it a common and efficient protocol for data transfer between various web-based systems. Its simplicity and scalability contribute to its widespread use.

  3. What does ETL stand for in data flow management?

    Answer: Extract, Transform, Load

    ETL stands for Extract, Transform, Load. It is a three-phase process used in data warehousing and data integration. Data is first extracted from various source systems, then transformed to meet the target system's requirements (e.g., cleaning, standardizing, aggregating), and finally loaded into a data warehouse or another destination system.

  4. What is a data pipeline?

    Answer: A flow of data between systems

    A data pipeline refers to a series of automated processes that manage the flow of data from its source to its destination. It ensures that data is moved, processed, and transformed efficiently, reliably, and securely between different systems or applications. Data pipelines are essential for maintaining data integrity and availability for analytics and operations.

  5. What is middleware used for in system integration?

    Answer: To connect disparate applications

    Middleware is software that acts as an intermediary layer between different applications, systems, or components. Its primary purpose is to connect disparate applications, enabling them to communicate and exchange data seamlessly. Middleware abstracts away the complexities of underlying network protocols and operating systems, facilitating integration across diverse IT environments.

  6. Which type of integration enables real-time data exchange?

    Answer: Synchronous integration

    Synchronous integration enables real-time data exchange by requiring the requesting system to wait for an immediate response from the integrated system. This 'request-response' model ensures that data is processed and updated instantly, making it ideal for scenarios where immediate feedback or up-to-the-minute information is critical for business operations.

  7. What is the main goal of data normalization?

    Answer: To eliminate data redundancy

    Data normalization is a process used in database design to organize data efficiently. Its main goal is to eliminate data redundancy, meaning it reduces duplicate data entries across tables. This improves data integrity, ensures consistency, and optimizes database performance by making it easier to maintain and update information.

  8. Which tool is commonly used for workflow and integration automation?

    Answer: Zapier

    Zapier is a widely recognized online automation tool designed to connect different web applications. It enables users to create automated workflows, called "Zaps," where an action in one app triggers an action in another. This makes it highly effective for integrating various software services and automating routine business processes without requiring coding knowledge.

  9. What is data mapping in the context of system integration?

    Answer: Aligning data fields across systems

    Data mapping is the crucial process of defining how data elements from one source system correspond to and transform into data elements in a target system. In system integration, it involves aligning specific data fields, such as "Customer Name" in one system to "Client_FullName" in another. This ensures accurate and consistent data transfer, allowing different applications to communicate and share information effectively.