Like the real exam, ITCertTest Cloudera CCD-410 exam dumps not only contain all questions that may appear in the actual exam, also the SOFT version of the dumps comprehensively simulates the real CCD-410 exam. With ITCertTest real questions and answers, when you take the exam, you can handle it with ease and get high marks.

ITCertTest is a website that specializes in providing IT exam information. The pass rate can achieve 100%. Which is one of the reasons that most candidates willing to believe the ITCertTest. ITCertTest have been always concerned about the needs of the majority of candidates. We always with the greatest ability to meet the needs of the candidates . ITCertTest's Cloudera CCD-410 exam training materials is an unprecedented IT certification training materials. With it, your future career will be rain or shine.

You can free download part of ITCertTest's exercises and answers about Cloudera certification CCD-410 exam as a try, then you will be more confident to choose our ITCertTest's products to prepare your Cloudera certification CCD-410 exam. Please add ITCertTest's products in you cart quickly.

Our ITCertTest's CCD-410 test training materials can test your knowledge, when you prepare for CCD-410 test; and can also evaluate your performance at the appointed time. Our CCD-410 exam training materials is the result of ITCertTest's experienced IT experts with constant exploration, practice and research for many years. Its authority is undeniable. If you have any concerns, you can first try CCD-410 pdf vce free demo and answers, and then make a decision whether to choose our CCD-410 dumps or not.

NO.1 For each intermediate key, each reducer task can emit:
A. As many final key-value pairs as desired. There are no restrictions on the types of those key-value
pairs (i.e., they can be heterogeneous).
B. As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.
C. As many final key-value pairs as desired, as long as all the keys have the same type and all the
values have the same type.
D. One final key-value pair per value associated with the key; no restrictions on the type.
E. One final key-value pair per key; no restrictions on the type.
Answer: C

Cloudera practice test   CCD-410 test questions   CCD-410 test answers   CCD-410 exam dumps
Reference: Hadoop Map-Reduce Tutorial; Yahoo! Hadoop Tutorial, Module 4: MapReduce

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   CCD-410 questions   CCD-410 Free download   CCD-410 Practice Test   CCD-410 Dumps PDF
Explanation:
By default, hive use an embedded Derby database to store metadata information.
The metastore is the "glue" between Hive and HDFS. It tells Hive where your data files live in
HDFS, what type of data they contain, what tables they belong to, etc.
The Metastore is an application that runs on an RDBMS and uses an open source ORM layer
called DataNucleus, to convert object representations into a relational schema and vice versa.
They chose this approach as opposed to storing this information in hdfs as they need the
Metastore to be very low latency. The DataNucleus layer allows them to plugin many different
RDBMS technologies.
Note:
*By default, Hive stores metadata in an embedded Apache Derby database, and other
client/server databases like MySQL can optionally be used.
*features of Hive include:
Metadata storage in an RDBMS, significantly reducing the time to perform semantic checks during
query execution.
Reference: Store Hive Metadata into RDBMS

NO.3 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   CCD-410 VCE Dumps   CCD-410 Practice Exam   CCD-410 Test Answers

NO.4 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. There is no difference in output between the two settings.
B. 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.
C. 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.
D. 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.
Answer: D

Cloudera Practice Test   CCD-410 Real Questions   CCD-410   CCD-410   CCD-410   CCD-410 Test Answers
Explanation:
* It is legal to set the number of reduce-tasks to zero if no reduction is desired.
In this case the outputs of the map-tasks go directly to the FileSystem, into the output path set by
setOutputPath(Path). The framework does not sort the map-outputs before writing them out to the
FileSystem.
* Often, you may want to process input data using a map function only. To do this, simply set
mapreduce.job.reduces to zero. The MapReduce framework will not create any reducer tasks.
Rather, the outputs of the mapper tasks will be the final output of the job.
Note:
Reduce
In this phase the reduce(WritableComparable, Iterator, OutputCollector, Reporter) method is
called for each <key, (list of values)> pair in the grouped inputs.
The output of the reduce task is typically written to the FileSystem via
OutputCollector.collect(WritableComparable, Writable).
Applications can use the Reporter to report progress, set application-level status messages and
update Counters, or just indicate that they are alive.
The output of the Reducer is not sorted.

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 practice test   CCD-410 exam prep   CCD-410 study guide   CCD-410 certification training
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 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 Practice Exam   CCD-410 Exam Tests   CCD-410 VCE Dumps   CCD-410 Practice Exam   CCD-410 certification training   CCD-410 Braindumps
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.7 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 Braindumps   CCD-410 test questions   CCD-410 PDF VCE

NO.8 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 Braindumps   CCD-410 exam simulations   CCD-410 answers real questions   CCD-410 Latest Dumps

ITCertTest offer the latest 100-101 exam material and high-quality HP2-B101 pdf questions & answers. Our 700-280 VCE testing engine and M2010-701 study guide can help you pass the real exam. High-quality 070-466 dumps training materials can 100% guarantee you pass the exam faster and easier. Pass the exam to obtain certification is so simple.

CCD-410 Real Questions: http://ccd-410-test-exam28.braindump100.xyz

Article Link: http://www.itcerttest.com/CCD-410_braindumps.html