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| Section | Objectives |
|---|---|
| Topic 1: Development and Programming | - Scripting and automation in Hadoop environment - Integration with external systems - Developing applications using BigInsights tools |
| Topic 2: IBM BigInsights Overview | - Hadoop ecosystem integration concepts - Core components and services - BigInsights architecture and ecosystem |
| Topic 3: Data Processing and Analytics | - Analytical tool usage and reporting - Big SQL and query processing - Data ingestion and processing workflows |
| Topic 4: Cluster Installation and Configuration | - Cluster setup and configuration steps - System tuning and optimization - Installation planning and prerequisites |
| Topic 5: Administration and Maintenance | - Troubleshooting and issue resolution - Security and access control - Monitoring and performance management |
Question 1
What is the difference between Hadoop MapReduce and IBM Adaptive MapReduce feature available in InfoSphere BigInsights?
A. Hadoop Map Reduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on largepartitioned files.
B. Hadoop MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM? Adaptive MapReduceis optimized for operating on large partitioned files.
C. Hadoop MapReduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
D. Hadoop MapReduce is optimized for operating on large files, while IBM Adaptive MapReduce is configurable to operate optimized on large or small files or splits
Question 2
How is data stored in a Hadoop cluster?
A. The data converted into a single block, and the block is stored in just one of the 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, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.
D. The data is divided into blocks, each block is stored in a different server in the Hadoop cluster, but the blocks are not replicated.
Question 3
Hadoop environments are optimized for:
A. Processing transactions (random access).
B. Batch processing on large files.
C. Intensive calculation with little data.
D. Low latency data access.
Question 4
Which of the following options is CORRECT in regards to integrating InfoSphere BigInsights and warehousing environments?
A. InfoSphere BigInsights Enterprise Edition also comes with a standard Java Database Connectivity (JDBC) connector, making it possible for organizations to quickly integrate with a wide variety of data and information systems, including Oracle, Microsoft SQL Server, MySQL and Teradata.
B. Frequently accessed data should be maintained in the BigInsights environment while old?or outdated information can be offloaded to the Frequently accessed data should be maintained in the BigInsights environment while ?old?or outdated information can be offloaded to the warehouse environment.
C. There is no integration between InfoSphere BigInsights and warehousing environments since they deal with different type of data.
D. There is no direct interaction between InfoSphere BigInsighs and data warehousing environments. However, InfoSphere Streams can be used to stream data between the two environments.
Solutions:
| Question 1 Answer: D | Question 2 Answer: C | Question 3 Answer: B | Question 4 Answer: A |
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