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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question 1

You need to create a GUI application to help your company's sales people add and edit customer information. Would HDFS be appropriate for this customer information file?

A. Yes, because HDFS is optimized for random access writes.
B. No, because HDFS can only be accessed by MapReduce applications.
C. No, because HDFS is optimized for write-once, streaming access for relatively large files.
D. Yes, because HDFS is optimized for fast retrieval of relatively small amounts of data.

Question 2

MapReduce is well-suited for all of the following applications EXCEPT? (Choose one):

A. Analysis of large amounts of Web logs (queries, clicks, etc.).
B. Graph mining on a large social network (e.g., Facebook friends network).
C. Text mining on a large collections of unstructured documents.
D. Online transaction processing (OLTP) for an e-commerce Website.

Question 3

You have an employee who is a Date Analyst and is very comfortable with SQL. He would like to run ad-hoc analysis on data in your HDFS duster. Which of the following is a data warehousing software built on top of Apache Hadoop that defines a simple SQL-like query language well-suited for this kind of user?

A. Hive
B. Flume
C. Hadoop Streaming
D. Sqoop
E. Pig
F. Oozie
G. Hue

Question 4

What is the standard configuration of slave nodes in a Hadoop cluster?

A. Each slave node either runs a TaskTracker or a DataNode daemon, but not both.
B. Each slave node runs a TaskTracker, but only a fraction of the slave nodes run DataNode daemons.
C. Each slave node runs a DataNode daemon, but only a fraction of the slave nodes run TaskTrackers.
D. Each slave node runs a JobTracker and a DataNode daemon.
E. Each slave node runs a TaskTracker and a DataNode daemon.

Question 5

What is the preferred way to pass a small number of configuration parameters to a mapper or reducer?

A. Through a static variable in the MapReduce driver class (i.e., the class that submits the MapReduce job).
B. As key-value pairs in the jobconf object.
C. Using a plain text file via the Distributedcache, which each mapper or reducer reads.
D. As a custom input key-value pair passed to each mapper or reducer.

Solutions: