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NEW QUESTION: 1
A list widget is added to a dashboard with existing charts and tables. What must be true for the list widget to facet the dashboard charts and tables using widget properties?
A. The list, chart, and table steps must share the same dataset.
B. Chart and table steps must have their own list widgets.
C. The list, chart, and table steps must share common dimensions from different datasets.
D. The list, chart, and table steps must share a common name.
Answer: A
NEW QUESTION: 2
Refer to the exhibit.
Which statement about R1 is true?
A. Its running configuration is missing
B. Its private-config is corrupt
C. RMON is configured
D. Its NVRAM contains public and private crypto keys
Answer: D
NEW QUESTION: 3
Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and generate Java classes to interact with that imported data?
A. Pig
B. Sqoop
C. Hive
D. Hue
E. Flume
F. fuse-dfs
G. Oozie
Answer: B
Explanation:
Sqoop ("SQL-to-Hadoop") is a straightforward command-line tool with the following
capabilities:
Imports individual tables or entire databases to files in HDFS
Generates Java classes to allow you to interact with your imported data
Provides the ability to import from SQL databases straight into your Hive data warehouse
Note:
Data Movement Between Hadoop and Relational Databases
Data can be moved between Hadoop and a relational database as a bulk data transfer, or
relational tables can be accessed from within a MapReduce map function.
Note:
* Cloudera's Distribution for Hadoop provides a bulk data transfer tool (i.e., Sqoop) that imports individual tables or entire databases into HDFS files. The tool also generates Java classes that support interaction with the imported data. Sqoop supports all relational databases over JDBC, and Quest Software provides a connector (i.e., OraOop) that has been optimized for access to data residing in Oracle databases.
Reference: http://log.medcl.net/item/2011/08/hadoop-and-mapreduce-big-data-analyticsgartner/ (Data Movement between hadoop and relational databases, second paragraph)
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