IBM Big Data Fundamentals Technical Mastery Test v1 - P2090-032 FREE EXAM DUMPS QUESTIONS & ANSWERS

A. Sophisticated security mapping, including cross-domain and field-level security. B. Broad connectivity to a wide range of data management systems and applications. C. Support for new ?virtual multi-dimensional node? technology capable of aggregating documents created from multiple sources or tables. D. Federated connectivity in the cloud and on-premise.

A. MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner. B. MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance. C. MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases. D. MapReduce jobs are used to process structured data in sequence, with fault-tolerance.

A. Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses. B. Hadoop is a single-node file system used as a base for storing traditional formatted data. C. Hadoop is a universal Big Data programming language used to query large datasets. D. Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.

A. Processing transactions (random access). B. Intensive calculation with little data. C. Batch processing on large files. D. Low latency data access.