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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. InfoSphere Data Explorer accommodates data variety through (choose three):

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.

2. Hadoop environments are optimized for:

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

3. How do big data solutions interact with the existing enterprise infrastructure?

A) Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it doesn?t interact with existing infrastructure.
B) Big data solutions must substitute for the existing enterprise infrastructure; therefore there is no interaction between them.
C) Big data solutions works in parallel with the existing enterprise infrastructure leveraging all the unstructured raw data that cannot be processed and stored in a traditional data warehouse solutions.
D) Big data solutions are placed on top of the existing enterprise infrastructure, acting as a transparent layer converting unstructured raw data into structured, readable data, and storing the final results in a traditional data warehouse.

4. Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?

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.

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