Hortonworks Apache-Hadoop-Developer valid dump torrent : Hadoop 2.0 Certification exam for Pig and Hive Developer

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

Question 1

A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and C?

A. The file will be marked as corrupted if data node B fails during the creation of the file.
B. Each data node stores a copy of the file in the local file system with the same name as the HDFS file.
C. Each data node locks the local file to prohibit concurrent readers and writers of the file.
D. The file can be accessed if at least one of the data nodes storing the file is available.

Question 2

You wrote a map function that throws a runtime exception when it encounters a control character in input data. The input supplied to your mapper contains twelve such characters totals, spread across five file splits. The first four file splits each have two control characters and the last split has four control characters.
Indentify the number of failed task attempts you can expect when you run the job with mapred.max.map.attempts set to 4:

A. You will have seventeen failed task attempts
B. You will have twelve failed task attempts
C. You will have twenty failed task attempts
D. You will have five failed task attempts
E. You will have forty-eight failed task attempts

Question 3

You use the hadoop fs -put command to write a 300 MB file using and 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 life?

A. They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
B. They would see no content until the whole file written and closed.
C. They would see the current 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 4

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 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 assigns key-values pairs to reduces based on an internal random number generator.
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.

Question 5

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. Channel these clickstreams inot Hadoop using Hadoop Streaming.
B. Ingest the server web logs into HDFS using Flume.
C. Sample the weblogs from the web servers, copying them into Hadoop using curl.
D. Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
E. Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.

Solutions: