Processing Techniques and Virtualization

What is batch processing and when is it used?

• Batch processing is only applicable for small data sets.

• Batch processing is used for real-time data streaming.

• Batch processing is used for executing large volumes of data tasks at once, typically in scenarios like payroll, data analysis, and report generation.

• Batch processing is primarily used for online transactions.

Define real-time processing and give an example.

• An offline database that requires manual updates for changes.

• A weather forecasting system that predicts conditions for the next week.

• A batch processing system that updates data at the end of the day.

• An example of real-time processing is a stock trading platform that updates prices and executes trades instantly as market data is received.

What are the advantages of parallel processing?

• Advantages of parallel processing include increased speed, improved efficiency, better resource utilization, and the ability to handle large data sets more effectively.

• Increased memory usage

• Limited data handling capabilities

• Reduced processing power

Explain distributed processing and its benefits.

• Increased data redundancy and slower processing times

• Limited scalability and resource sharing

• Benefits of distributed processing include improved speed and efficiency, scalability, fault tolerance, and better resource utilization.

• Higher costs and reduced efficiency

How does virtualization enhance resource utilization?

• Virtualization enhances resource utilization by allowing multiple VMs to share a single physical server, optimizing resource allocation and reducing waste.

• Virtualization only benefits storage management, not resource utilization.

• Virtualization isolates resources, preventing sharing among VMs.

• Virtualization reduces the need for physical servers entirely.

What are the key differences between batch and real-time processing?

• Batch processing is always faster than real-time processing.

• Batch processing is used for immediate data analysis.

• Batch processing is time-delayed and suitable for large volumes of data, whereas real-time processing is immediate and suitable for time-sensitive applications.

• Real-time processing can handle larger data volumes than batch processing.

Describe a scenario where parallel processing is advantageous.

• Parallel processing is useful for simple arithmetic calculations.

• Parallel processing is best for small data sets.

• Parallel processing is advantageous in large-scale image processing tasks.

• Parallel processing is only effective in single-threaded applications.

What is the role of a hypervisor in virtualization?

• The role of a hypervisor in virtualization is to manage and allocate hardware resources to multiple virtual machines.

• A hypervisor is responsible for managing network traffic exclusively.

• A hypervisor is used to create physical servers.

• The hypervisor only runs on bare metal without any virtual machines.

How does distributed processing improve system reliability?

• It enhances fault tolerance and reduces single points of failure.

• It increases the load on a single server.

• It eliminates the need for backups.

• It simplifies system architecture.

What are the challenges associated with real-time processing?

• Limited data storage

• Inflexible processing models

• High bandwidth requirements

• Challenges include latency, data consistency, scalability, fault tolerance, and resource management.