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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. clustering technology
C. grid computing technology
D. All of the above.
Answer: D

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. The customer should remove the switches and directly connect the host to the controller ports.
B. Ports on time-a700 nodes 1 and 2 should have the fc_nvme protocol removed.
C. 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.
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: C

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. 営業チームのセットアップ
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. サンドボックスが有効
Answer: C,D

NEW QUESTION: 4
What are the two advantages of using Hive over MapReduce? (Choose two.)
A. Hive does not require MapReduce to run in order to analyze data.
B. Hive allows for sophisticated analytics on large data sets.
C. Hive simplifies Hadoop for new users.
D. Hive is much faster than MapReduce because it accesses data directly.
E. Hive is a free tool; Hadoop requires a license.
Answer: B,C
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.