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NEW QUESTION: 1
Sadie has created a menu that typically returns 50-100 content items. She does not want to show the entire list at one time; instead she wants to show 10 items at a time with the ability to page-through the matches in groups of 10. How can Sadie accomplish this task?
A. Check the Show items in Pages option in the menu. Select the appropriate number of items to be shown per page.
B. Create a Page Navigation component and embed the component in the menu's footer using a [PageInfo] tag.
C. Create a Page Navigation component and embed the component in the menu's footer using a [Component] tag.
D. Create a Page Navigation component and embed the component in the presentation template that renders the menu using a [Component] tag.
Answer: C

NEW QUESTION: 2
Match the storage technology to the storage type.

Answer:
Explanation:

Explanation
BLOCK = iSCSi
File = CIFS
BLOCK = SAN
File = NFS

NEW QUESTION: 3
Your customer has 10 web servers that generate logs at any given time. The customer would like to consolidate and load this data as it is generated into HDFS on the Big Data Appliance.
Which option should the customer use?
A. Set up a web server agent in Apache Oozie to write the data to HDFS.
B. Write a hive query to listen for new logs and save them in a Hive table.
C. Set up an hbase agent to capture the transactions and write them to HDFS.
D. Set up a zookeeper agent to capture the transactions and write them to HDFS.
E. Set up a flume agent to capture the transactions and write them to HDFS.
Answer: E
Explanation:
Explanation/Reference:
Apache Flume is a distributed, reliable, and available system for efficiently collecting, aggregating and moving large amounts of log data from many different sources to a centralized data store.
The use of Apache Flume is not only restricted to log data aggregation. Since data sources are customizable, Flume can be used to transport massive quantities of event data including but not limited to network traffic data, social-media-generated data, email messages and pretty much any data source possible.
Example:

A Flume source consumes events delivered to it by an external source like a web server. The external source sends events to Flume in a format that is recognized by the target Flume source.
When a Flume source receives an event, it stores it into one or more channels. The channel is a passive store that keeps the event until it's consumed by a Flume sink. The file channel is one example - it is backed by the local filesystem. The sink removes the event from the channel and puts it into an external repository like HDFS (via Flume HDFS sink) or forwards it to the Flume source of the next Flume agent (next hop) in the flow. The source and sink within the given agent run asynchronously with the events staged in the channel.
Incorrect Answers:
A: ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications. Each time they are implemented there is a lot of work that goes into fixing the bugs and race conditions that are inevitable. Because of the difficulty of implementing these kinds of services, applications initially usually skimp on them, which make them brittle in the presence of change and difficult to manage.
References: https://flume.apache.org/FlumeUserGuide.html