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IBM P2090-032 Exam Syllabus Topics:

IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

Question 1

Hadoop environments are optimized for:

A. Low latency data access.
B. Batch processing on large files.
C. Processing transactions (random access).
D. Intensive calculation with little data.

Question 2

In a traditional Hadoop stack, which of the following components provides data warehouse infrastructure and allows SQL developers and business analysts to leverage their existing SQL skills?

A. Text analytics.
B. Avro.
C. Zookeeper.
D. Hive.

Question 3

What does ?Big Data? represent?

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

Question 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. lzo.
B. brzip.
C. gzip.
D. lza.

Solutions: