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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Analysis with Hive | - Hive query development
|
| Data Transformation with Pig | - Pig Latin programming
|
| Data Processing | - End-to-end Hadoop workflows
|
| Data Ingestion | - Import data into Hadoop
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. You want to understand more about how users browse your public website, such as which pages they visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you gather this data for your analysis?
A) Sample the weblogs from the web servers, copying them into Hadoop using curl.
B) Channel these clickstreams inot Hadoop using Hadoop Streaming.
C) Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
D) Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
E) Ingest the server web logs into HDFS using Flume.
2. Which two of the following are true about this trivial Pig program' (choose Two)
A) myfile is read from the user's home directory in HDFS
B) Pig assumes the contents of myfile are comma delimited
C) The contents of myfile appear on stdout
D) ABC has a schema associated with it
3. Analyze each scenario below and indentify which best describes the behavior of the default partitioner?
A) 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.
B) 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.
C) 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.
D) The default partitioner assigns key-values pairs to reduces based on an internal random number generator.
E) 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.
4. In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling the next () method return?
A) It returns a reference to a Writable object from an object pool.
B) It returns a reference to a different Writable object time.
C) It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
D) It returns a reference to the same Writable object each time, but populated with different data.
E) It returns a reference to the same Writable object if the next value is the same as the previous value, or a new Writable object otherwise.
5. Which best describes how TextInputFormat processes input files and line breaks?
A) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
B) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
C) Input file splits may cross line breaks. A line that crosses file splits is ignored.
D) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
E) The input file is split exactly at the line breaks, so each RecordReader will read a series of complete lines.
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: A,C | Question # 3 Answer: E | Question # 4 Answer: D | Question # 5 Answer: B |
