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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Hadoop environments are optimized for:

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

2. Which of the following statements is NOT CORRECT?

A) InfoSphere Streams provides support for reuse of existing Java or C++ code, as well as Predictive Model Markup Language (PMML) models.
B) InfoSphere Streams supports both command line and graphical interfaces to administer the
C) InfoSphere Streams supports communications to Internet Protocol version 6 (IPv6) networks.
D) InfoSphere Streams jobs must be coded using either HiveQL or Jaql languages.

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

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

4. What is good fit for Hadoop Distributed File System (HDFS)?

A) Applications requiring high throughput of data.
B) Multiple writers accessing the same file.
C) Applications requiring low latency data access.
D) Lots of small files.

Solutions: