最新的Cloudera Certified Developer for Apache Hadoop - CCD-333免費考試真題

A. Keys are presented to a reducer in sorted order; values for a given key are not sorted.

B. Keys are presented to a reducer in soiled order; values for a given key are sorted in ascending order.

C. Keys are presented to a reducer in random order; values for a given key are not sorted.

D. Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.

A. Online transaction processing (OLTP) for an e-commerce Website.

B. Text mining on a large collections of unstructured documents.

C. Analysis of large amounts of Web logs (queries, clicks, etc.).

D. Graph mining on a large social network (e.g., Facebook friends network).

A. The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default. Multiple blocks from the same file might reside on the same datanode.

B. The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default.HDFS guarantees that different blocks from the same file are never on the same datanode.

C. The file is replicated three times by default. Eachcopy of the file is stored on a separate datanodes.

D. The file is divided into variable size blocks, which are stored on multiple data nodes. Each block is replicated three times by default.

E. The master copy of the file is stored on a single datanode. The replica copies are divided into fixed-size blocks, which are stored on multiple datanodes.

A. It accepts a single key-value pair as input and emits a single key and list of corresponding values as output

B. It accepts a list of key-value pairs as input hut run emit only one key value pair as output.

C. It accepts a single key-value pair as input and can emit only one key-value pair as output.

D. It accepts a single key-value pair as input and can emit any number of key-value pairs as output, including zero.

A. No, because HDFS is optimized for write-once, streaming access for relatively large files.

B. Yes, because HDFS is optimized for random access writes.

C. No, because HDFS can only be accessed by MapReduce applications.

D. Yes, because HDFS is optimized for fast retrieval of relatively small amounts of data.

A. Through a static variable in the MapReduce driver class (i.e., the class that submits the MapReduce job).

B. As a custom input key-value pair passed to each mapper or reducer.

C. As key-value pairs in the jobconf object.

D. Using a plain text file via the Distributedcache, which each mapper or reducer reads.