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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Pig Development | 30% | - Data transformation, filtering, joining, and aggregation - Write and optimize Pig Latin scripts - Debug and tune Pig jobs |
| Apache Hive Development | 25% | - Write and optimize HiveQL queries - Create and manage Hive tables, partitions, and buckets - Use Hive functions, views, and metastore |
| Data Ingestion | 25% | - Import/export data using Sqoop - Load data into HDFS from external sources - Ingest streaming data with Flume |
| Hadoop Fundamentals & Architecture | 20% | - YARN architecture and job execution - HDFS operations and file management - MapReduce concepts and job lifecycle |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Workflows expressed in Oozie can contain:
- A. Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
- B. Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.
- C. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.
- D. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.
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You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and #data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's given a path object representing this directory?
- A. Four, all files will be processed
- B. Three, the pound sign is an invalid character for HDFS file names
- C. Two, file names with a leading period or underscore are ignored
- D. None, the directory cannot be named jobdata
- E. One, no special characters can prefix the name of an input file
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Analyze each scenario below and indentify which best describes the behavior of the default partitioner?
- A. The default partitioner assigns key-values pairs to reduces based on an internal random number generator.
- B. The default partitioner computes the hash of the key and divides that valule modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
- C. The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer in turn. This ensures an event partition of the key space.
- D. 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.
- 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.
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You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you have ample space on your DataNodes. Which action should you take to relieve this situation and store more files in HDFS?
- A. Decrease the block size on all current files in HDFS.
- B. Increase the amount of memory for the NameNode.
- C. Decrease the block size on your remaining files.
- D. Increase the block size on your remaining files.
- E. Increase the number of disks (or size) for the NameNode.
- F. Increase the block size on all current files in HDFS.
Consider the following two relations, A and B.
Which Pig statement combines A by its first field and B by its second field?
- A. C = DOIN B BY a1, A by b2;
- B. C = JOIN A SO, B $1;
- C. C = JOIN A a1, B b2;
- D. C = JOIN A by al, B by b2;
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