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NEW QUESTION: 1
Which of the following are technology innovations that contributed to the emergence of cloud computing? Select the correct answer.
A. virtualization technology
B. All of the above.
C. clustering technology
D. grid computing technology
Answer: B

NEW QUESTION: 2
Click the Exhibit button.

A customer has zoned switches to a host, but the host cannot see the LUNs.
Referring to the exhibit, what needs to be done to make the LUNs visible to the host? (Choose the best answer.)
A. Zoning should be changed to use the 20:06:d0:39:ea:05:03:a3 and 20:08:d0:39:ea:05:03:a3 WWPNs.
B. Ports on time-a700 nodes 1 and 2 should have the fc_nvme protocol removed.
C. The customer should remove the switches and directly connect the host to the controller ports.
D. Zoning should be changed to use the 50:0a:09:81:80:d2:c3:b8 and 50:0a:09:81:42:c2:b9 WWPNs.
Answer: A

NEW QUESTION: 3
テリトリー管理のシステム前提条件は何ですか？ 2を選択
A. サンドボックスが有効
B. マーケティングユーザーが有効
C. カスタマイズ可能な予測が有効
D. 営業チームのセットアップ
Answer: A,C

NEW QUESTION: 4
What are the two advantages of using Hive over MapReduce? (Choose two.)
A. Hive is a free tool; Hadoop requires a license.
B. Hive does not require MapReduce to run in order to analyze data.
C. Hive simplifies Hadoop for new users.
D. Hive allows for sophisticated analytics on large data sets.
E. Hive is much faster than MapReduce because it accesses data directly.
Answer: C,D
Explanation:
E: A comparison of the performance of the Hadoop/Pig implementation of MapReduce with
Hadoop/Hive.
Both Hive and Pig are platforms optimized for analyzing large data sets and are built on top of Hadoop. Hive is a platform that provides a declarative SQLlike language whereas Pig requires users to write a procedural language called PigLatin.
Writing MapReduce jobs in Java can be difficult, Hive and Pig has been developed and works as platforms on top of Hadoop. Hive and Pig allows users easy access to data compared to implementing their own MapReduce in Hadoop.