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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. 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) Oozie
C) Hadoop Streaming
D) Sqoop
E) Hue
F) Hive
G) Flume

2. What types of algorithms are difficult to express MapReduce?

A) Algorithms that require applying the same mathematical function to large numbers of individual binary records.
B) Algorithms that requite global, shared state.
C) Relational operations on large amounts of structured and semi structured data.
D) Text analysis algorithms on large collections of unstructured text (e.g., Web crawls).
E) Large-scale graph algorithms that require one-step link traversal.

3. To process input key-value pairs, your mapper needs to load a 512 MB data file in memory. What is the best way to accomplish this?

A) Place the datafile in the DataCache and read the data into memory in the configure method ofthe mapper.
B) Place the data file in theDistributedCacheand read the data into memory in the map method of the mapper.
C) Place the data file in theDistributedCacheand read the data into memory in the configure method of the mapper.
D) Serialize the data file, insert it in the Jobconf object, and read the data into memory in the configure method of the mapper.

4. For each intermediate key, each reducer task can emit:

A) One final key value pair per key; no restrictions on the type.
B) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
C) As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.
D) As many final key value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous)
E) One final key-value pair per value associated with the key; no restrictions on the type.

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

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

Solutions: