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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. Which happens if the NameNode crashes?

A) The Secondary NameNode seamlessly takes over and there is no service interruption.
B) HDFS becomes unavailable until the NameNode is restored.
C) HDFS becomes unavailable to new MapReduce jobs, but running jobs will continue until completion.
D) HDFS becomes temporarily unavailable until an administrator starts redirecting client requests to the Secondary NameNode.

2. Which of the following best describes the workings of TextInputFormat?

A) The input file is split exactly at the line breaks, so each Record Reader will read a series of complete lines.
B) Input file splits may cross line breaks. A line that crosses tile splits is ignored.
C) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
D) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
E) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.

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

4. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, Intwritable values. Which interface should your class implement?

A) Combiner <Text, IntWritable, Text, IntWritable>
B) Mapper <Text, IntWritable, Text, IntWritable>
C) Reducer <Text, Text, IntWritable, IntWritable>
D) Combiner <Text, Text, IntWritable, IntWritable>
E) Reducer <Text, IntWritable, Text, IntWritable>

5. In the reducer, the MapReduce API provides you with an iterator over Writable values. Calling the next () method:

A) Returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
B) Returns a reference to the same writable object if the next value is the same as the previous value, or a new writable object otherwise.
C) Returns a reference to a different Writable object each time.
D) Returns a reference to a Writable object from an object pool.
E) Returns a reference to the same writable object each time, but populated with different data.

Solutions: