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NEW QUESTION: 1
when a host initiates a TCP session, what is the numerical range into which the initial sequence number must fail?
A. 1 to 4,294,967,295
B. 1 to 1024
C. 0 to 1024
D. 0 to 4,294,967,295
E. 0 to 65535
F. 1 to 65535
Answer: D

NEW QUESTION: 2
現在、25の同一のコンピューティングリソースを利用して顧客のトラフィックを処理するeコマースアプリケーションを管理しています。新しいバージョンのソフトウェアを導入してテストするために、関係者から25の同一のコンピューティングリソースを作成するように依頼されましたか？
最初の25個と同じ25個の追加のコンピューティングリソースを作成する最も効率的なプロセスは何ですか？
A. 新しいサーバーをプロビジョニングし、最初の25と同じになるように構成します。新しいサーバーからカスタムイメージを作成し、カスタムイメージを使用してさらに24台のサーバーをプロビジョニングします。
B. 25台のサーバーのうちの1台からカスタムイメージを作成します。このカスタムイメージを使用して、さらに25台のサーバーをプロビジョニングする
C. 25台のサーバーに属する各ブートボリュームの手動バックアップを作成します。各バックアップを復元して25の新しいブートボリュームを作成し、そこからさらに25のサーバーをプロビジョニングします
D. 25台のサーバーのうちの1台のブートボリュームを複製します。ブートボリュームのクローンを使用して、さらに25台のサーバーをプロビジョニングする
Answer: B

NEW QUESTION: 3
An XaaS cloud platform offers which of the following that can be beneficial to a business organization in
terms of cost?
A. The distributed identity of a database pool can lend added security to their stored information
B. The initial capital expenditures are greatly reduced and additional costs are controlled in variation
C. The ability to add flexibility to licensing options helps add to the ease of system implementation and
use
D. The number of virtual network components in several configurations can be varied and unlimited
Answer: C

NEW QUESTION: 4
A media advertising company handles a large number of real-time messages sourced from over
200 websites. The company's data engineer needs to collect and process records in real time for analysis using Spark Streaming on Amazon Elastic MapReduce (EMR). The data engineer needs to fulfill a corporate mandate to keep ALL raw messages as they are received as a top priority.
Which Amazon Kinesis configuration meets these requirements?
A. Publish messages to Amazon Kinesis Firehose backed by Amazon Simple Storage Service (S3).
Use AWS Lambda to pull messages from Firehose to Streams for processing with Spark Streaming.
B. Publish messages to Amazon Kinesis Streams. Pull messages off Streams with Spark Streaming in parallel to AWS Lambda pushing messages from Streams to Firehose backed by Amazon Simple Storage Service (S3).
C. Publish messages to Amazon Kinesis Firehose backed by Amazon Simple Storage Service (S3).
Pull messages off Firehose with Spark Streaming in parallel to persistence to Amazon S3.
D. Publish messages to Amazon Kinesis Streams, pull messages off with Spark Streaming, and write row data to Amazon Simple Storage Service (S3) before and after processing.
Answer: A