Big Data Analytics - II — DU Skill Enhancement Courses Previous Year Question Papers

: Skill Enhancement Parts of a question must be answered together. (a) State whether the following statements are true or false: (i) Scala is a popular language used to write programs in Apache spark. (ii) All sqoopjobs are map-onlyjobs and do not require the reduce phase. (iii) Data storage is the primary focus of machine leaming in the context of big data. (iv) The main benefit of GPU architecture over traditional CPUs is increased memory size. (v) In the CUDA memory model, shared memory is used among all threads of a thread block. a) Fill in the blanks. (i) The primary purpose of Apache Flume is to reliably and efficiently ingest data from various sources into the is the computing model that facilitates parallel execution on (££) irshardware. (iii) The tool used for cross-language service communication and data encoding in Hadoop is called (iv) InHadoop,the small files efficiently. facility allows the user to work with many (v) The type ofleaming under which K-Means clustering is categorized is known as (Aiiempl any f tour) Name the various types of memory provided by the CUDA memory model. Differentiate between RDD transforinations and RDD actions in Apache Spark. Give one example of each. Explain the key advantages of Apache Spark compared to traditional `Hadoop MapReduce. Also, mention two application scenarios where Apache Spark is considered more suitable. Explain the algorithm used to implement K-means clustering with pseudocode. (5) Distinguish between supervised and unsupervised leaming. Give one example of each.