IBM P2090-032 - IBM Big Data Fundamentals Technical Mastery Test v1 Exam
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Total 34 questions
Question #6 (Topic: )
How do enterprises leverage big data platforms?
A. By storing all of the data in its native business object format, so theenterprise can get value out of it through massive parallelism using readily available components.
B. By modifying the data being streamed using pre-existing ETL transformations, and storing the final formatted data into a data warehouse for further enterprise analysis.
C. By sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.
D. By isolating workloads into a single node, and further processing all the data in sequence.
Answer: A
Question #7 (Topic: )
What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce
feature available in InfoSphere BigInsights?
feature available in InfoSphere BigInsights?
A. Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s AdaptiveMapReduce is optimized for operating on large partitioned files.
B. Hadoop?s MapReduce is optimized for operating on large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.
C. Hadoop?s MapReduceis optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
D. Hadoop?s MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
Answer: B
Question #8 (Topic: )
Which of the following options are CORRECT (Choose two)?
A. The Stream Processing Language provides a language that works with the Streams run- time framework to support streaming applications.
B. Users can develop Streams applications using Data Studio Web Console, an Eclipse- based Integrated Development Environment (IDE).
C. InfoSphere Streams perform complex analytics on data at rest.
D. Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.
Answer: A,D
Question #9 (Topic: )
How is data stored in a Hadoop cluster?
A. The data is divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.
B. The data converted into a single block, and the block is stored in just one of the servers in the Hadoop cluster.
C. The data is divided into blocks, each block is stored in a different server in the Hadoop cluster, but the blocks are not replicated.
D. The data is converted into a single block, and copies of this block are replicated across multiple servers in the Hadoop cluster.
Answer: A
Question #10 (Topic: )
What is good fit for Hadoop Distributed File System (HDFS)?
A. Lots of small files.
B. Applications requiring low latency data access.
C. Multiple writers accessing the same file.
D. Applications requiring high throughput of data.
Answer: D
