Exam Code: P2090-032 (Practice Exam Latest Test Questions VCE PDF)
Exam Name: IBM Big Data Fundamentals Technical Mastery Test v1
Certification Provider: IBM
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2021 May P2090-032 Study Guide Questions:
Q11. Which of the following options is CORRECT?
A. InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
B. InfoSphereBigInsights is a distributed file system used as base for Hadoop distributions.
C. InfoSphere BigInsights is based on the nonforked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.
D. InfoSphere BigInsights is based on the nonforked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written forHadoop will run on BigInsights.
Answer: D
Q12. Which of the following options is CORRECT regarding InfoSphere Data Explorer?s annotators?
A. InfoSphere Data Explorer?s annotators allow users to creategroups of search results.
B. InfoSphere Data Explorer?s annotators is an add-on feature capable of handling of a variety of data formats and types, including structured, semi-structured and unstructured, as well as the special demands of rich media and transactional data.
C. InfoSphere Data Explorer?s annotators allow users to interact with search results by providing feedback about the result's value, and by
adding useful information and communication with other users.
D. InfoSphere Data Explorer?s annotators allow users to save results in a private/public folder for later review or sharing.
Answer: C
Q13. What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce 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
Far out P2090-032 test question:
Q14. Which of the following connectivity modules is provided by InfoSphere Data Explorer?
A. Federation Module
B. Navigation Module
C. Discovery Module
D. Language Module
Answer: A
Q15. 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
Q16. In regards of InfoSphere Streams, Which of the following options is CORRECT?
A. InfoSphere Streams is a powerful analytic computing platform capable of gathering large quantities of data, manipulating the data, and storing it on disk.
B. InfoSphere Streams is a powerful analytic computing platform capable of analyzing data in real time with micro-latency.
C. InfoSphere Streamsis an extract, transform, and load (ETL) platform that is capable of integrating small volumes of data across a wide variety of data sources and target applications.
D. InfoSphere Streams is web administration graphical user interface (GUI) capable of setting up a secure communication channel to stream post-processed data from a Hadoop cluster into a relational database, such as IBM DB2.
Answer: B
Verified P2090-032 testing bible:
Q17. What is HADOOP?
A. Hadoop is a single-node file system used as a base for storing traditional formatted data.
B. Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
C. Hadoop is a universal Big Data programming language used to query large datasets.
D. Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
Answer: B
Q18. 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
Q19. Which of the following components is a feature from InfoSphere Data Explorer?s Discovery module?
A. Auto-commit
B. Auto-correction
C. Auto-classification
D. Auto-save
Answer: C
Q20. Which of the following options contains the main components of Hadoop? (Choose three)
A. Text Analytics.
B. MapReduce framework.
C. Hadoop Distributed File System (HDFS).
D. Apache Commons.
Answer: B,C,D