Cloudera CCD-333 : Cloudera Certified Developer for Apache Hadoop

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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. You have a large dataset of key-value pairs, where the keys are strings, and the values are integers. For each unique key, you want to identify the largest integer. In writing a MapReduce program to accomplish this, can you take advantage of a combiner?

A) Yes.
B) No, a combiner would not be useful in this case.
C) Yes, but the number of unique keys must be known in advance.
D) Yes, as long as all the integer values that share the same key fit into memory on each node.
E) Yes, as long as all the keys fit into memory on each node.

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

3. Which MapReduce daemon runs on each slave node and participates in job execution?

A) TaskTracker
B) JobTracker
C) NameNode
D) Secondary NameNode

4. What is the behavior of the default partitioner?

A) The default partitioner implements a round robin strategy, shuffling the key value pairs to each reducer in turn. This ensures an even partition of the key space.
B) The default partitioner assigns key value pairs to reducers based on an internal random number generator.
C) The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key value pair.
D) The default partitioner computes the hash of the key and divides that value modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
E) The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.

5. 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 and a DataNode daemon.
C) Each slave node runs a TaskTracker, but only a fraction of the slave nodes run DataNode daemons.
D) Each slave node runs a DataNode daemon, but only a fraction of the slave nodes run TaskTrackers.
E) Each slave node runs a JobTracker and a DataNode daemon.

Solutions: