Distributed Computing Senior
Explain the concept of vector clocks in distributed systems and how they help in determining causality among events.
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Vector clocks in distributed systems help determine the order of events and causality among them.
Vector clocks ensure real-time data processing.
Vector clocks are used to encrypt data in distributed systems.
Vector clocks are used for data backup in distributed systems.
Explain the concept of distributed pub-sub (publish-subscribe) messaging systems and their use in event-driven architectures.
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Distributed pub-sub systems allow for asynchronous communication between publishers and subscribers in event-driven architectures.
Distributed pub-sub systems ensure data is backed up in real-time.
Distributed pub-sub systems are used for real-time data encryption.
Distributed pub-sub systems store data on a single server.
What is the role of ZooKeeper in distributed systems?
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ZooKeeper is used for coordinating distributed applications through services like configuration management and synchronization.
ZooKeeper is a load balancing tool for distributed systems.
ZooKeeper is only used for storing distributed databases.
ZooKeeper is a data encryption tool for distributed systems.
What is the purpose of a distributed task queue in distributed systems?
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A distributed task queue manages and distributes tasks among multiple servers for efficient processing.
A distributed task queue ensures data is backed up during processing.
A distributed task queue encrypts data before processing.
A distributed task queue is used only for data storage.
What is the purpose of a distributed lock manager (DLM) in distributed systems?
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A distributed lock manager (DLM) ensures that distributed systems can safely manage shared resources.
A distributed lock manager (DLM) is used to encrypt data across nodes.
A distributed lock manager (DLM) ensures that all data is processed in real-time.
A distributed lock manager (DLM) stores backup data for recovery.
Explain the concept of distributed scheduling.
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Distributed scheduling ensures data is backed up before processing.
Distributed scheduling is only used in single-node systems.
Distributed scheduling involves encrypting data before execution.
Distributed scheduling coordinates the execution of tasks across multiple computing nodes.