did a little oopsie, exam coverage raw is lahat ng EA lang
enhanced decision making
An importance of system integration which provides organization with a comprehensive view of their data and system, enabling them to make more informed decisions.
Choices:
- efficient workflow
- data accuracy and consistency
- enhanced decision making
- scalability and flexibility
- improved customer experience
False
Testing is one of the stages of System Integration. (True or False)
Enterprise-to-enterprise integration
An integration in which the automation of inter-organizational business communication and processes.
Choices:
- Integration of legacy system technology
- Enterprise Application Integration
- Data Integration
- Enterprise-to-enterprise integration
- Electronic Document Exchange
Electronic Document Exchange
The exchange of standardized business documents between companies.
Choices:
- Integration of legacy system technology
- Enterprise Application Integration
- Data Integration
- Enterprise-to-enterprise integration
- Electronic Document Exchange
Enterprise Application Integration
It involves connecting and enabling communication between different software applications within an organization.
Choices:
- Integration of legacy system technology
- Enterprise Application Integration
- Data Integration
- Enterprise-to-enterprise integration
- Electronic Document Exchange
Point-to-point integration
An integration method where each system communicates with the other directly without an intermediary or centralized hub
Choices:
- Point-to-point integration
- Star integration
- Hub-and-spoke integration
- Vertical Integration
- Horizontal integration
True
B2B integration is the is the automation of inter-organizational business communication and processes (True or False)
True
System integration may be an expensive endeavor for many enterprises. (True or False)
scalability and flexibility
An importance of SIA in which organization can easily add or remove components, integrate new systems or scale operations in response to changing business requirements
- efficient workflow
- data accuracy and consistency
- enhanced decision making
- scalability and flexibility
- improved customer experience
Data Integration
It enables you to connect data from various services, aggregate and transform it, and make it accessible from a central location
Choices:
- Integration of legacy system technology
- Enterprise Application Integration
- Data Integration
- Enterprise-to-enterprise integration
- Electronic Document Exchange
True
Point-to-point integration is where each system communicates with the other directly without an intermediary or centralized hub (True or False)
Integration of legacy system technology
This type of System Integration enables the modernization of obsolete / old systems by facilitating a seamless communication channel with more recent technological solutions and information systems.
Choices:
- Integration of legacy system technology
- Enterprise Application Integration
- Data Integration
- Enterprise-to-enterprise integration
- Electronic Document Exchange
False
Vertical integration is achieved using a single specialized subsystem known as an Enterprise Service Bus(ESB) (True or False)
True
System integration can eliminates the need for repetitious data entry (True or False)
data accuracy and consistency
An importance of SIA in which enables the organization can eliminate data silos, reduce data duplication, and ensure that all relevant system and users have access to current and accurate information.
Choices:
- efficient workflow
- data accuracy and consistency
- enhanced decision making
- scalability and flexibility
- improved customer experience
Star integration
An integration also known as spaghetti method.
- Point-to-point integration
- Star integration
- Hub-and-spoke integration
- Vertical Integration
- Horizontal integration
False
In star integration, a central hub acts as the central point of coordination between subsystems. (True or False)
True
Vertical integration is ideal for developing basic, single-function integrations. (True or False)
False
Scalability and flexibility can provide personalized, timely, and consistent experiences across multiple touchpoints (True or False)
efficient workflow
An importance of SIA which enables the automated flow of information, reduces duplication of efforts, and increases overall operational efficiency.
- efficient workflow
- data accuracy and consistency
- enhanced decision making
- scalability and flexibility
- improved customer experience
False
Data migration involves the transfer of data back and forth between two systems in a single discrete session. (True or False)
False
The components that make up migration include only the source system and the target system. (True or False)
tight coupling , custom interfaces , direct integration
Point-to-point integration's key characteristics.(3 answers)
Choices:
- tight coupling
- custom interfaces
- direct integration
- scalability
False
Extracting of data from a source is an example of data transformation. (True or False)
immediate data exchange , event-driven , continuous data flow , high throughput and low latency
Select which key characteristics describes a real-time integration
- immediate data exchange
- event-driven
- continuous data flow
- high throughput and low latency
- data transformation
Publish-Subscribe integration
A messaging paradigm where senders of messages do not send their messages directly to specific receivers.
Choices:
- Point-to-point integration
- Hub-and-Spoke integration
- Publish-Subscribe integration
- Request-Response integration
file exchange , asynchronous communication , file formats
Which key characteristics describes a file-based integration? (3 answers)
- file exchange
- continuous data flow
- asynchronous communication
- file formats
- Immediate data exchange
True
Aggregation is the process of combining data from a number of different systems into a single target system (True or False)
Hybrid integration
An integration which combines multiple integration patterns and approaches to create a flexible, robust solution that meets diverse system requirements.
- Response-request integration
- File-based integration
- Real-time integration
- Hybrid integration
Point-to-point integration
A pattern in which individual systems are connected directly to one another on a one-to-one basis
Choices:
- Point-to-point integration
- Hub-and-Spoke integration
- Publish-Subscribe integration
- Request-Response integration
True
Correlational is also a bi-directional sync. (True or False)
Request-Response integration
Communication pattern where one system sends a request to another system and waits for a response.
Choices:
- Point-to-point integration
- Hub-and-Spoke integration
- Publish-Subscribe integration
- Request-Response integration
File-based integration
A method where data is transferred between systems using files.
Choices:
- Response-request integration
- File-based integration
- Real-time integration
- Hybrid integration
Hub-and-Spoke integration
A pattern in which each system establishes a connection with the hub.
Choices:
- Point-to-point integration
- Hub-and-Spoke integration
- Publish-Subscribe integration
- Publish-Subscribe integration
False
Broadcasting is a process that moves data in a multiple direction (True or False)
True
The combining of two datasets originating from distinct systems such that each can function independently while still surviving as its own dataset is bi- directional sync. (True or False)
indirect communicating , decoupling , scalability
Hub and spoke integration's key characteristics.(3 answers)
Choices:
- indirect communicating
- decoupling
- simplicity
- scalability
False
Broadcasting filters out unnecessary information from the union process. (True or False)
Direct point-to-point , blocking , response , Synchronous
Request-response integration's key characteristics (4 answers)
Choices:
- Asynchronous
- Direct point-to-point
- blocking
- response
- Synchronous
Real-time integration
A pattern where data is exchanged between systems with minimal delay
Choices:
- Response-request integration
- File-based integration
- Real-time integration
- Hybrid integration
True
Transforming involves conversion of data into a different format or structure. (True or False)
True
Synchronizing data between systems with different data formats can be complex and may require data mapping and transformation.
Choices:
- True
- False
merging
Data Integration refers to the process of _____ two or more pieces of software so that they function in conjunction with one another.
Extract
ETL stands for _____, Transform, Load.
Synchronization
Data _____ is the process of ensuring that data across multiple systems or locations is updated and consistent in real-time or scheduled intervals.
False
ETL is also known as “data lake integration”.
Choices:
- True
- False
virtualization
Data _____ is an approach for integrating data that enables users to access data in real time from a variety of sources, even without physically moving or reproducing the data.
False
Latency and Performance is an example of data integration challenges.
Choices:
- True
- False
integration
Data _____ is the process of combining data from multiple sources to provide a unified view
False
Quality data management is the process of creating a unified set of data from several data types, fields and formats
Choices:
- True
- False
Two_____ has the ability to maintain constant communication between databases
_____ -Way Synchronization is where the changes made in both systems are updated bi-directionally
Synchronization
_____ has the ability to maintain constant communication between databases
False
Data cleansing involves adding new information such as geolocation data or data from external reference source
Choices:
- True
- False
Batch
_____ Sync is when the data is updated periodically (e.g., payroll systems)
True
Data migration is the process of moving the data from source system to destination.
Choices:
- True
- False
True
ETL is ideally suited for batch processing.
Choices:
- True
- False
One
_____ -Way Synchronization is where the data flows from one source to another without feedback
True
ETL is a conventional data integration technique that entails extracting data from source system, altering it to suit the target data model or requirements, and then putting it into a destination system or data warehouse
Choices:
- True
- False
False
As data volumes grow, traditional ETL (Extract, Transform, Load) processes may not struggle to scale efficiently.
Choices:
- True
- False
True
Data aggregation, Data harmonization, Data denormalization are example of Data Analytics and Reporting.
Choices:
- True
- False
True
Ensuring data consistency during synchronization is vital to prevent data corruption or loss.
Choices:
- True
- False
True
ELT is useful when working with large-amounts of data.
Choices:
- True
- False
True
Master Data Management is the consolidation and synchronization of master data across systems which can be achieved with the help of data transformation and mapping.
Choices:
- True
- False
True
Data virtualization is helpful when there is a requirement for real-time access to a variety of data sources.
Choices:
- True
- False
True
Network and Connectivity Issues is an example of data synchronization complexities.
Choices:
- True
- False
Real
_____ -Time Sync is when the data is updated immediately (e.g., Google Docs auto-save).