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NEW QUESTION: 1
A. Option A
B. Option E
C. Option D
D. Option C
E. Option B
Answer: D
NEW QUESTION: 2
A large filesystem will be restored. Backup data is spread across one hundred tapes and all four tape drives are currently used. What can be done to optimize the restore process?
A. set up more parallel restore sessions
B. tune the client option, resource utilization
C. update the client to use more mount points for the restore
D. use MOVE NODEDATA to consolidate data on a disk pool
Answer: C
Explanation:
Explanation
To run eight reclamation processes simultaneously, you need a total of at least 16 mount points and 16 drives.
The device class for the two storage pools must have a mount limit of at least 16.
References: IBM Spectrum Protect for Windows Version 8.1.0, Administrator's Reference, p 1518 NEW QUESTIONS:
NEW QUESTION: 3
A. RADIUS
B. GRE
C. IPsec
D. Kerberos
Answer: A
NEW QUESTION: 4
You are designing a Spark job that performs batch processing of daily web log traffic.
When you deploy the job in the production environment, it must meet the following requirements:
* Run once a day.
* Display status information on the company intranet as the job runs.
You need to recommend technologies for triggering and monitoring jobs.
Which technologies should you recommend? To answer, drag the appropriate technologies to the correct locations. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Livy
You can use Livy to run interactive Spark shells or submit batch jobs to be run on Spark.
Box 2: Beeline
Apache Beeline can be used to run Apache Hive queries on HDInsight. You can use Beeline with Apache Spark.
Note: Beeline is a Hive client that is included on the head nodes of your HDInsight cluster. Beeline uses JDBC to connect to HiveServer2, a service hosted on your HDInsight cluster. You can also use Beeline to access Hive on HDInsight remotely over the internet.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-livy-rest-interface
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-beeline