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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Warehousing with Hive | - Advanced Hive features
|
| Hadoop Ecosystem Integration | - Data ingestion and ETL workflows - HDFS interaction - MapReduce basics |
| Data Processing with Pig | - Advanced Pig processing
|
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Which one of the following statements is true about a Hive-managed table?
- A. When the table is dropped, the underlying folder in HDFS is deleted.
- B. Records can only be added to the table using the Hive INSERT command.
- C. Hive dynamically defines the schema of the table based on the format of the underlying data.
- D. Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
In a MapReduce job, you want each of your input files processed by a single map task. How do you
configure a MapReduce job so that a single map task processes each input file regardless of how many
blocks the input file occupies?
- A. Write a custom FileInputFormat and override the method isSplitable to always return false.
- B. Set the number of mappers equal to the number of input files you want to process.
- C. Write a custom MapRunner that iterates over all key-value pairs in the entire file.
- D. Increase the parameter that controls minimum split size in the job configuration.
What is the term for the process of moving map outputs to the reducers?
- A. Partitioning
- B. Reducing
- C. Combining
- D. Shuffling and sorting
You want to populate an associative array in order to perform a map-side join. You've decided to put this
information in a text file, place that file into the DistributedCache and read it in your Mapper before any
records are processed. Indentify which method in the Mapper you should use to implement code for
reading the file and populating the associative array?
- A. map
- B. init
- C. combine
- D. configure
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.
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