Question
In Big Data Analytics, what is the main function of the
MapReduce programming model?Solution
MapReduce is a programming model designed to process large-scale data by distributing computations across multiple nodes in a cluster. The model works by breaking down tasks into the "Map" phase, where data is distributed and processed in parallel, followed by the "Reduce" phase, which aggregates the results. This distributed computing model is highly scalable and fault-tolerant. Store large datasets : This is handled by HDFS or other distributed file systems, not MapReduce. Clean data : Data cleaning can be part of MapReduce jobs but is not the core function of the model. Visualize large-scale data : Data visualization is not part of the MapReduce model; other tools like Tableau or Hadoop are used. Perform batch processing : MapReduce can perform batch processing, but its main advantage is distributed computation.
In a 5-stage pipeline (Fetch, Decode, Execute, Memory, Write-back), how many instructions can be in various stages of processing at the same time?
A transformer has a primary coil with 300 turns and a secondary coil with 150 turns. If the primary voltage is 240V, calculate the secondary voltage.
Which of the following is a common problem that synchronization mechanisms address in multi-threaded or multi-process environments?
What happens when a program accesses data that is not currently in physical memory (RAM) due to virtual memory management?
Which of the following is not a valid keyword in C++ language?
XML is designed to ____ and ____ data)
What is the main purpose of a digital signature in public key cryptography?
The best case time complexity of selection sort?
What is the space complexity of an algorithm?
Which functions are declared inside a class have to be defined separately outside the class?
