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P2090-032 exam is an important IBM Certification which can test your professional skills. Candidates want to pass the exam successfully to prove their competence. Fast2test IBM technical experts have collected and certified 34 questions and answers of IBM Mastery - IBM Big Data Fundamentals Technical Mastery Test v1 which are designed to cover the knowledge points of the Planning and Designing IBM Superdome Server Solutions and enhance candidates' abilities. With Fast2test P2090-032 preparation tests you can pass the IBM Mastery - IBM Big Data Fundamentals Technical Mastery Test v1 easily, get the IBM certification and go further on IBM career path.

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Our IBM Big Data Fundamentals Technical Mastery Test v1 Preparation Material provides you everything you will need to take a IBM IBM Mastery P2090-032 examination. Details are researched and produced by IBM Certification Experts who are constantly using industry experience to produce precise, and logical.

IBM P2090-032 Exam Syllabus Topics:

SectionObjectives
Big Data Analytics- Use cases and business applications
- Data processing and analytics techniques
Big Data Concepts- 3Vs / 5Vs of big data (volume, velocity, variety, etc.)
- Definition and characteristics of big data
Big Data Architecture- Data ingestion and processing pipelines
- Distributed computing concepts
Big Data Technologies- Hadoop ecosystem overview
- MapReduce and distributed processing
- Spark fundamentals
Data Storage and Management- HDFS and distributed storage systems
- NoSQL databases

IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. In regards of InfoSphere Streams, Which of the following options is CORRECT?

A) 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.
B) InfoSphere Streams is 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.
C) InfoSphere Streams is a powerful analytic computing platform capable of analyzing data in real time with micro-latency.
D) InfoSphere Streams is a powerful analytic computing platform capable of gathering large quantities of data, manipulating the data, and storing it on disk.


2. What does ?Big Data? represent?

A) Large amounts of unstructured, semi-structured, and structured raw data that cannot be stored, processed or analyzed using traditional relational data warehouses.
B) Only data stored in the BIGDATA table in any relational database.
C) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
D) A database feature capable of converting pre-existing structured data into unstructured raw data.


3. Which of the following options is CORRECT?

A) 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 for Hadoop will run on BigInsights.
B) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
C) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
D) 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.


4. Which of the following compression algorithms is used by InfoSphere BigInsights to provide an additional compression option over the ones that come with the base Hadoop distribution?

A) brzip.
B) gzip.
C) lzo.
D) lza.


Solutions:

Question # 1
Answer: C
Question # 2
Answer: A
Question # 3
Answer: A
Question # 4
Answer: C

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