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IBM P2090-032 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Big Data Technologies | - Spark fundamentals - Hadoop ecosystem overview - MapReduce and distributed processing |
| Data Storage and Management | - NoSQL databases - HDFS and distributed storage systems |
| Big Data Architecture | - Data ingestion and processing pipelines - Distributed computing concepts |
| Big Data Concepts | - Definition and characteristics of big data - 3Vs / 5Vs of big data (volume, velocity, variety, etc.) |
| Big Data Analytics | - Data processing and analytics techniques - Use cases and business applications |
IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:
Question 1
How do enterprises leverage big data platforms?
A. By sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.
B. By storing all of the data in its native business object format, so the enterprise can get value out of it through massive parallelism using readily available components.
C. 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.
D. By isolating workloads into a single node, and further processing all the data in sequence.
Question 2
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 is converted into a single block, and copies of this block are replicated across multiple 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 converted into a single block, and the block is stored in just one of the servers in the Hadoop cluster.
Question 3
Which of the following options contains the main components of Hadoop? (Choose three)
A. Apache Commons.
B. Hadoop Distributed File System (HDFS).
C. MapReduce framework.
D. Text Analytics.
Question 4
Which of the following options is NOT CORRECT?
A. Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn?t nearly as effective as a larger set of data from which to derive analysis.
B. Big data solutions are ideal for Online Transaction Analytical Process (OLTP) environments.
C. Big data solutions are ideal for analyzing not only raw structured data, but semi- structured and unstructured data from a wide variety of sources.
D. Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
Solutions:
| Question 1 Answer: B | Question 2 Answer: A | Question 3 Answer: A,B,C | Question 4 Answer: B |






