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NEW QUESTION: 1
Amazon ElastiCacheでは、次のステートメントのうち正しいものはどれですか？
A. 専用インスタンステナント用に設定されたVPCでElastiCacheを使用することはできません。
B. ElastiCacheクラスターをAmazon VPCプライベートサブネットに起動すると、すべてのキャッシュノードにそのサブネット内のパブリックIPアドレスが割り当てられます。
C. ElastiCacheはAmazon Virtual Private Cloud（VPC）と完全には統合されていません。
D. AWSアカウントがEC2-VPCプラットフォームのみをサポートする場合、ElastiCacheはVPCでクラスターを起動しません。
Answer: A
Explanation:
Explanation
The VPC must allow non-dedicated EC2 instances. You cannot use ElastiCache in a VPC that is configured for dedicated instance tenancy.
http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/AmazonVPC.EC.html

NEW QUESTION: 2
Two universities are making their 802.11n wireless networks available to the other university's students. The infrastructure will pass the student's credentials back to the home school for authentication via the Internet.
The requirements are: Mutual authentication of clients and authentication server The design should not limit connection speeds Authentication must be delegated to the home school No passwords should be sent unencrypted
The following design was implemented: WPA2 Enterprise using EAP-PEAP-MSCHAPv2 will be used for wireless security RADIUS proxy servers will be used to forward authentication requests to the home school The RADIUS servers will have certificates from a common public certificate authority
A strong shared secret will be used for RADIUS server authentication
Which of the following security considerations should be added to the design?
A. The RADIUS servers should have local accounts for the visiting students
B. The transport layer between the RADIUS servers should be secured
C. WPA Enterprise should be used to decrease the network overhead
D. Students should be given certificates to use for authentication to the network
Answer: B

NEW QUESTION: 3


Answer:
Explanation:

Explanation

Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
The two view outputs may be joined before presentation
Box 1: Speed
The speed layer processes data streams in real time and without the requirements of fix-ups or completeness.
This layer sacrifices throughput as it aims to minimize latency by providing real-time views into the most recent data.
Box 2: Batch
The batch layer precomputes results using a distributed processing system that can handle very large quantities of data. The batch layer aims at perfect accuracy by being able to process all available data when generating views.
Box 3: Serving
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.