Hortonworks Data Platform Certified Developer - HDPCD Exam Practice Test

A. A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.

B. An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.

C. A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.

D. A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.

A. mrunit

B. mapreduce

C. hive

D. pig

A. The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.

B. Both the keys and values passed to a reducer always appear in sorted order.

C. Neither keys nor values are in any predictable order.

D. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order

A. Place the data file in the DistributedCache 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. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.

A. 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.

B. There is no difference in output between the two settings.

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, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.

A. Stores HDFS data in a database for performing SQL-like ad-hoc queries

B. Exists as a subproject of Hive

C. Provides a shared schema mechanism

D. Designed to be used by other programs such as Pig, Hive and MapReduce

A. C = JOIN A SO, B $1;

B. C = DOIN B BY a1, A by b2;

C. C = JOIN A a1, B b2;

D. C = JOIN A by al, B by b2;

A. The reducers will only output the first 20% of the data passed from the mappers

B. Each MapReduce task will terminate after executing for 0.2 minutes

C. A random sample of approximately 20% of the data will be output

D. The SAMPLE command generates an "unexpected symbol" error

A. JSON

B. Avro

C. HTML

D. SequenceFiles

E. CSV

F. XML

A. Reduce complexity of the MapReduce APIs.

B. Standardize on a single MapReduce API.

C. HDFS latency.

D. Ability to run frameworks other than MapReduce, such as MPI.

E. Resource pressure on the JobTracker.

F. Single point of failure in the NameNode.