Exam Code: CCD-410
Exam Name: Cloudera Certified Developer for Apache Hadoop (CCDH)
One year free update, No help, Full refund!
CCD-410 Bootcamp Total Q&A: 60 Questions and Answers
Last Update: 09-22,2015

CCD-410 Study Guide Detail: CCD-410 Bootcamp

NO.1 In a MapReduce job, the reducer receives all values associated with same key. Which statement
best describes the ordering of these values?
A. The values are in sorted order.
B. The values are arbitrarily ordered, and the ordering may vary from run to run of the same
MapReduce job.
C. The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have
the same ordering.
D. Since the values come from mapper outputs, the reducers will receive contiguous sections of
sorted values.
Answer: B

Cloudera   CCD-410 Real Questions   CCD-410 questions   CCD-410 PDF VCE
Explanation:
Note:
*Input to the Reducer is the sorted output of the mappers.
*The framework calls the application's Reduce function once for each unique key in the sorted
order.
*Example:
For the given sample input the first map emits:
< Hello, 1>
< World, 1>
< Bye, 1>
< World, 1>
The second map emits:
< Hello, 1>
< Hadoop, 1>
< Goodbye, 1>
< Hadoop, 1>

NO.2 Table metadata in Hive is:
A. Stored as metadata on the NameNode.
B. Stored along with the data in HDFS.
C. Stored in the Metastore.
D. Stored in ZooKeeper.
Answer: C

Cloudera Real Questions   CCD-410 Braindumps   CCD-410 braindump

NO.3 On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on
your cluster, and alerts the JobTracker it has an open map task slot.
What determines how the JobTracker assigns each map task to a TaskTracker?
A. The amount of RAM installed on the TaskTracker node.
B. The amount of free disk space on the TaskTracker node.
C. The number and speed of CPU cores on the TaskTracker node.
D. The average system load on the TaskTracker node over the past fifteen (15) minutes.
E. The location of the InsputSplit to be processed in relation to the location of the node.
Answer: E

Cloudera   CCD-410 Exam Cost   CCD-410
Explanation:
The TaskTrackers send out heartbeat messages to the JobTracker, usually every few minutes, to
reassure the JobTracker that it is still alive. These message also inform the JobTracker of the number
of available slots, so the JobTracker can stay up to date with where in the cluster work can be
delegated. When the JobTracker tries to find somewhere to schedule a task within the MapReduce
operations, it first looks for an empty slot on the same server that hosts the DataNode containing the
data, and if not, it looks for an empty slot on a machine in the same rack.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, How JobTracker
schedules a task?

NO.4 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. Ingest the server web logs into HDFS using Flume.
B. Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for
reduces.
C. Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.
D. Channel these clickstreams inot Hadoop using Hadoop Streaming.
E. Sample the weblogs from the web servers, copying them into Hadoop using curl.
Answer: A

Cloudera exam   CCD-410 Test Answers   CCD-410 Real Questions   CCD-410 Dumps PDF

NO.5 You've written a MapReduce job that will process 500 million input records and generated 500
million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a
significant amount of intermediate data that it needs to transfer between mappers and reduces
which is a potential bottleneck. A custom implementation of which interface is most likely to reduce
the amount of intermediate data transferred across the network?
A. Partitioner
B. OutputFormat
C. WritableComparable
D. Writable
E. InputFormat
F. Combiner
Answer: F

Cloudera Test Questions   CCD-410 exam dumps   CCD-410 test questions   CCD-410 Exam Cram   CCD-410
Explanation:
Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate
intermediate map output locally on individual mapper outputs. Combiners can help you reduce the
amount of data that needs to be transferred across to the reducers. You can use your reducer code
as a combiner if the operation performed is commutative and associative.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What are
combiners? When should I use a combiner in my MapReduce Job?

NO.6 To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory.
What is the best way to accomplish this?
A. Serialize the data file, insert in it the JobConf object, and read the data into memory in the
configure method of the mapper.
B. Place the data file in the DistributedCache and read the data into memory in the map method of
the mapper.
C. Place the data file in the DataCache and read the data into memory in the configure method of the
mapper.
D. Place the data file in the DistributedCache and read the data into memory in the configure method
of the mapper.
Answer: C

Cloudera Study Guide   CCD-410 Dumps PDF   CCD-410 exam prep   CCD-410 Test Questions