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最新的 CCDH CCD-410 免費考試真題:

1. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) Resource pressure on the JobTracker.
B) HDFS latency.
C) Standardize on a single MapReduce API.
D) Single point of failure in the NameNode.
E) Ability to run frameworks other than MapReduce, such as MPI.
F) Reduce complexity of the MapReduce APIs.

2. All keys used for intermediate output from mappers must:

A) Implement WritableComparable.
B) Implement a splittable compression algorithm.
C) Override isSplitable.
D) Be a subclass of FileInputFormat.
E) Implement a comparator for speedy sorting.

3. You need to perform statistical analysis in your MapReduce job and would like to call methods in the Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is the best way to make this library available to your MapReducer job at runtime?

A) When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
B) Package your code and the Apache Commands Math library into a zip file named JobJar.zip
C) Have your system administrator copy the JAR to all nodes in the cluster and set its location in the HADOOP_CLASSPATH environment variable before you submit your job.
D) Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and then set the HTTP_JAR_URL environment variable to its location.

4. Indentify which best defines a SequenceFile?

A) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be the same type.
B) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous Writable objects
C) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
D) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous Writable objects

5. You have user profile records in your OLPT database, that you want to join with web logs you have already ingested into the Hadoop file system. How will you obtain these user records?

A) Ingest with Flume agents
B) HDFS command
C) Pig LOAD command
D) Ingest with Hadoop Streaming
E) Hive LOAD DATA command
F) Sqoop import

問題與答案：