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NEW QUESTION: 1
A virtual server is listening at 10.10.1.100:any and has the following iRule associated with it:
when CLIENT_ACCEPTED { if {[TCP::local_port] equals 21 } { pool
ftppool } elseif {[TCP::local_port] equals 23 } { pool telnetpool }
If a user connects to 10.10.1.100 and port 22, which pool will receive the request.
A. telnetpool
B. ftppool
C. None. The request will be dropped.
D. Unknown. The pool cannot be determined from the information provided.
Answer: D

NEW QUESTION: 2
A company is running a commercial Apache Hadoop cluster on Amazon EC2. This cluster is being used daily to query large files on Amazon S3. The data on Amazon S3 has been curated and does not require any additional transformations steps. The company is using a commercial business intelligence (BI) tool on Amazon EC2 to run queries against the Hadoop cluster and visualize the data.
The company wants to reduce or eliminate the overhead costs associated with managing the Hadoop cluster and the BI tool. The company would like to remove to a more cost-effective solution with minimal effort. The visualization is simple and requires performing some basic aggregation steps only.
Which option will meet the company's requirements?
A. Develop a stored procedure invoked from a MySQL database running on Amazon EC2 to analyze EC2 to analyze the files in Amazon S3. Then use a fast in-memory BL tool running on Amazon EC2 to visualize the data.
B. Develop a script that uses Amazon Athena to query and analyze the files on Amazon S3. Then use Amazon QuickSight to connect to Athena and perform the visualization.
C. Use a commercial extract, transform, load (ETL) tool that runs on Amazon EC2 to prepare the data for processing. Then switch to a faster and cheaper Bl tool that runs on Amazon EC2 to visualize the data from Amazon S3.
https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html https://aws.amazon.com/athena/
D. Launch a transient Amazon EMR cluster daily and develop an Apache Hive script to analyze the files on Amazon S3. Shut down the Amazon EMR cluster when the job is complete. The use the Amazon QuickSight to connect to Amazon EMR and perform the visualization.
Answer: B

NEW QUESTION: 3
Amazon EC2インスタンスで作業しているSysOps管理者が、時計を1時間誤って設定しました。 EC2インスタンスは、CloudWatchエージェントを介してAmazon CloudWatchにデータを送信しています。ログのタイムスタンプは45分後です。
この構成の結果はどうなりますか？
A. Amazon CloudWatchエージェントはエージェントがネットワークタイムプロトコル（NTP）サーバーをチェックし、データが将来30分を超えるため送信しません。
B. Amazon CloudWatchは将来のデータであるため、データをキャプチャしません。
C. Amazon CloudWatchはカスタム指標データを受け入れ、それを記録します。
D. Amazon CloudWatchエージェントは、データを送信する前にネットワークタイムプロトコル（NTP）サーバーをチェックし、エージェントは時刻を修正します。
Answer: D