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NEW QUESTION: 1
You want to use the WebLogic Diagnostic Framework (WLDF) to monitor some historic MBean attribute values in your WebLogic domain.

Which WLDF component do you use to accomplish this? (Choose the best answer.)
A. the MBean Collector with a metric collection definition
B. a Watch on a metric collection definition
C. the Harvester with a metric collection definition
D. the Archiver with a metric collection definition
Answer: D
Explanation:
Explanation/Reference:
The Archive component of the WebLogic Diagnostics Framework (WLDF) captures and persists all data events, log records, and metrics collected by WLDF from server instances and applications running on them.
The Archive provides access interfaces so that the Accessor may expose any of the persisted historical data including logged event data and persisted metrics.
Incorrect Answers:
A: The Harvester component of the WebLogic Diagnostics Framework (WLDF) gathers metrics from attributes on qualified MBeans that are instantiated in a running server. The Harvester can collect metrics from WebLogic Server MBeans and from custom MBeans.
B: The Watch and Notification component of the WebLogic Diagnostics Framework (WLDF) provides the means for monitoring server and application states and then sending notifications based on criteria set in the watches.
Reference: https://docs.oracle.com/cd/E24329_01/web.1211/e24426/architecture.htm#WLDFC124

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Your customer collects asset data for particular items in SAP Ariba Buying and Invoicing. Who is responsible for providing the asset data?
There are TWO Answers for this Question
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Response:
A. Finance approver
B. Procurement approver
C. Receiver
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NEW QUESTION: 3
Which statement is true about the NameNode in Hadoop?
A. When loading data, the NameNode tells the client or program where to write the data.
B. A query in Hadoop requires a MapReduce job to be run so the NameNode gets the location of the data from the JobTracker.
C. If the NameNode goes down and a secondary NameNode has not been defined, the cluster is still accessible.
D. All data passes through the NameNode; so if it is not sized properly, it could be a potential bottleneck.
Answer: C
Explanation:
Note that, in an HA cluster, the Standby NameNode also performs checkpoints of the namespace state, and thus it is not necessary to run a Secondary NameNode,
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In a typical HA cluster, two separate machines are configured as NameNodes. At any point in time, exactly one of the NameNodes is in an Active state, and the other is in a Standby state.
Note that, in an HA cluster, the Standby NameNode also performs checkpoints of the namespace state, and thus it is not necessary to run a Secondary NameNode,
CheckpointNode, or BackupNode in an HA cluster.
References: https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop- hdfs/HDFSHighAvailabilityWithNFS.html