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Cloudera CCD-333 Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Data Processing with Hadoop Ecosystem | - Hive query language and data warehousing
- Pig Latin scripting basics
|
| Topic 2: Hadoop Fundamentals | - HDFS architecture and data storage concepts
- MapReduce programming model
|
| Topic 3: Data Ingestion and Workflow | - Flume data ingestion concepts
- Sqoop data import/export
|
| Topic 4: Data Analysis and Optimization | - Query optimization in Hive
- Performance tuning in MapReduce jobs
|
| Topic 5: Hadoop Cluster Operations | - Cluster configuration and management basics
- Resource management with YARN
|
Cloudera Certified Developer for Apache Hadoop Sample Questions:
Question 1
You use the hadoop fs -put command to write a 300 MB file using an HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this file?
A. They would see no content until the whole file is written and closed.
B. They would see Hadoop throw an concurrentFileAccessException when they try to access this file.
C. They would see the content of the file through the last completed block.
D. They would see the current state of the file, up to the last bit written by the command.
Question 2
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, as long as all the integer values that share the same key fit into memory on each node.
B. Yes, but the number of unique keys must be known in advance.
C. No, a combiner would not be useful in this case.
D. Yes.
E. Yes, as long as all the keys fit into memory on each node.
Question 3
In a large MapReduce job with m mappers and r reducers, how many distinct copy operations will there be in the sort/shuffle phase?
A. m+r (i.e., m plus r)
B. mxr (i.e., m multiplied by r)
C. mr (i.e., m to the power of r)
D. r
E. m
Question 4
You have written a Mapper which invokes the following five calls to the outputcollector.collect method:

How many times will the Reducer's reduce method be invoked.
A. 5
B. 1
C. 3
D. 6
E. 0
Question 5
During the standard sort and shuffle phase of MapReduce, keys and values are passed to reducers. Which of the following is true?
A. Keys are presented to a reducer in sorted order; values for a given key are not sorted.
B. Keys are presented to a reducer in soiled order; values for a given key are sorted in ascending order.
C. Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
D. Keys are presented to a reducer in random order; values for a given key are not sorted.
Solutions:
Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: C |