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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion | - Import data into Hadoop
|
| Topic 2: Data Analysis with Hive | - Hive query development
|
| Topic 3: Data Transformation with Pig | - Pig Latin programming
|
| Topic 4: Data Processing | - End-to-end Hadoop workflows
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?
A) You will not be able to compress the intermediate data.
B) You will longer be able to take advantage of a Combiner.
C) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
D) There are no concerns with this approach. It is always advisable to use multiple reduces.
2. You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reduces to one and settings the number of reducers to zero.
A) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.
B) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.
C) There is no difference in output between the two settings.
D) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.
3. Assuming the following Hive query executes successfully:
Which one of the following statements describes the result set?
A) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.
B) A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.
C) A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.
D) A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.
4. You want to Ingest log files Into HDFS, which tool would you use?
A) Sqoop
B) Flume
C) HCatalog
D) Ambari
5. What does Pig provide to the overall Hadoop solution?
A) Simple scripting language for writing MapReduce programs
B) Database table and storage management services
C) C++ interface to MapReduce and data warehouse infrastructure
D) Legacy language Integration with MapReduce framework
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: A |
