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IBM 000-N38 Exam Syllabus Topics:

SectionObjectives
Data Processing and Analytics- Analytical tool usage and reporting
- Data ingestion and processing workflows
- Big SQL and query processing
Development and Programming- Scripting and automation in Hadoop environment
- Developing applications using BigInsights tools
- Integration with external systems
Administration and Maintenance- Monitoring and performance management
- Security and access control
- Troubleshooting and issue resolution
IBM BigInsights Overview- Core components and services
- Hadoop ecosystem integration concepts
- BigInsights architecture and ecosystem
Cluster Installation and Configuration- Installation planning and prerequisites
- Cluster setup and configuration steps
- System tuning and optimization

IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Which of the following integrated development environment (IDE) can be used to develop programs to be used with InfoSphere BigInsights?

A) InfoSphere Streams Studio
B) Eclipse with InfoSphere BigInsights plug-in.
C) InfoSphere Data Explorer.
D) IBM Data Studio with InfoSphere Data Explorer plug-in.


2. Which of the following components is NOT included in the BigInsights Basic Edition distribution?

A) Hadoop Distributed File System.
B) Hive.
C) Pig.
D) BigSheets.


3. Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?

A) Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a single system, while traditional data warehousing environment is well suited to deal with unstructured data, as well as when a data discovery process is needed.
B) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
C) Traditional data warehousing environments are mostly ideal for analyzing structured data from various systems, while a Hadoop environment is well suited to deal with structured, semi-structured, and unstructured data, as well as when a data discovery process is needed.
D) Typically, data stored in data warehousing environments is rarely filtered and pre-processed. On the other hand, data injected into Hadoop environments is always pre-processed and filtered.


4. What is a major difference between HDFS and GPFS-FPO?

A) There is no difference, as GPFS-FPO is the new open source standard version for the Hadoop file system.
B) There is no difference, GPFS-FPO is just IBM version of HDFS in BigInsights.
C) Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant, and highly available file system that allows for standard applications to also use the storage area marked for Hadoop use.
D) Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant file system that allows for standard applications to also use the storage area marked for Hadoop use. Like HDFS, GPFSFPO also has an issue with the meta data name node service which may be a single point of failure.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: D
Question # 3
Answer: C
Question # 4
Answer: C

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