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NEW QUESTION: 1
A solution that requires modifying the Blogs portlet by overriding several core JSPs and a Struts action is best developed as:
A. A single hook plugin
B. A single Ext plugin
C. A Struts hook plugin and a JSP hook plugin
D. A Struts hook plugin and several JSP hook plugins
Answer: A

NEW QUESTION: 2
成功せずにAmazon VPCのインスタンスに接続しようとしています。 VPCにインターネットゲートウェイ（IGW）があり、インスタンスに関連付けられたElastic IP（EIP）があり、正しいセキュリティグループルールが設定されていることを既に確認しています。
次に評価するVPCコンポーネントはどれですか？
A. インターネットゲートウェイ（IGW）の構成
B. ルーティングテーブルの構成
C. SRC / DSTチェックの構成
D. NATインスタンスの構成
Answer: B
Explanation:
Explanation
http://docs.aws.amazon.com/ElasticLoadBalancing/latest/DeveloperGuide/UserScenariosForVPC.html

NEW QUESTION: 3
You need to store data quickly in a cost-effective manner. Also, you do not know how much data you will be handling in 6 months, and you have spikey processing needs. Which Big Data tool should you use?
Choose the correct answer:
A. EMR
B. Machine Learning
C. Redshift
D. Kinesis
Answer: A
Explanation:
With Amazon EMR, it is easy to resize a running cluster. You can add core nodes, which hold the Hadoop Distributed File System (HDFS), at any time to increase your processing power and increase the HDFS storage capacity (and throughput). Additionally, you can use Amazon S3 natively or using EMFS along with or instead of local HDFS, which allows you to decouple your memory and compute from your storage providing greater flexibility and cost efficiency. You can also add and remove task nodes at any time which can process Hadoop jobs but do not maintain HDFS. Some customers add hundreds of instances to their clusters when their batch processing occurs and remove the extra instances when processing completes. For example, you may not know how much data your clusters will be handling in 6 months, or you may have spikey processing needs. With Amazon EMR, you don't need to guess your future requirements or provision for peak demand because you can easily add or remove capacity at any time.
Reference:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf