不確定 Fast2test 的 CCD-410 題庫是否符合您的需求？我們提供 Cloudera Certified Developer for Apache Hadoop (CCDH) 免費範例試題，先下載體驗 60 道練習題的編排方式與解析品質，滿意之後再決定購買。

Cloudera CCD-410 考試概覽:

Cloudera CCD-410 考試大綱主題:

關於 Cloudera CCD-410 考試，您可能想問

最新的 CCDH CCD-410 免費考試真題：

問題 #1

For each input key-value pair, mappers can emit:

A. One intermediate key-value pair, but of the same type.
B. One intermediate key-value pair, of a different type.
C. As many intermediate key-value pairs as designed, as long as all the keys have the same types and all the values have the same type.
D. As many intermediate key-value pairs as designed. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
E. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.

問題 #2

What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A. Algorithms that require applying the same mathematical function to large numbers of individual binary records.
B. Relational operations on large amounts of structured and semi-structured data.
C. Large-scale graph algorithms that require one-step link traversal.
D. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
E. Algorithms that require global, sharing states.

問題 #3

You want to perform analysis on a large collection of images. You want to store this data in HDFS and process it with MapReduce but you also want to give your data analysts and data scientists the ability to process the data directly from HDFS with an interpreted high-level programming language like Python. Which format should you use to store this data in HDFS?

A. JSON
B. SequenceFiles
C. HTML
D. XML
E. Avro
F. CSV

問題 #4

Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will run?

A. 640
B. 200
C. 64
D. 100

問題 #5

Workflows expressed in Oozie can contain:

A. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.
B. Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
C. Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.
D. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.

問題與答案：