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NEW QUESTION: 1
How many relational database engines does RDS currently support?
A. Just two: MySQL and Oracle.
B. Just one: MySQL.
C. Five: MySQL, PostgreSQL, MongoDB, Cassandra and SQLite.
D. MySQL, Postgres, MariaDB, Oracle and Microsoft SQL Server
Answer: D

NEW QUESTION: 2
次のサイズ範囲のどれが個々のAmazon S3オブジェクトに当てはまりますか？
A. 1〜5ギガバイト
B. 5ギガバイトから5テラバイト
C. 0〜5Tバイト
D. 100メガバイトから5ギガバイト
Answer: C
Explanation:
保存できるデータの量とオブジェクトの数は無制限です。個々のAmazon S3オブジェクトのサイズは0バイトから5テラバイトの範囲です。
参照先：https://aws.amazon.com/s3/faqs/

NEW QUESTION: 3
企業はオンプレミスのSaaS（Software-as-a-Service）ソリューションを運用しており、毎日複数のファイルを取り込んでいますファイル転送を容易にするために顧客に複数のパブリックSFTPエンドポイントを提供しています顧客はファイアウォールにSFTPエンドポイントIPアドレスを追加することを許可しています送信トラフィックのリストSFTPエンドポイントのIPアドレスへの変更は許可されていません会社はSaaSソリューションをAWSに移行し、ファイル転送サービスの運用オーバーヘッドを削減したいと考えています。これらの要件を満たすソリューションはどれですか。
A. 会社が所有するAWSアカウントに顧客所有のIPアドレスのブロックを登録するアドレスプールからElastic IPアドレスを作成し、Amazon S3 VPCエンドポイントに割り当てるS3バケットでSFTPサポートを有効にする
B. お客様が所有するIPアドレスのブロックを含むサブネットをVPCに追加するアドレスプールからElastic IPアドレスを作成し、それらをApplication Load Balancer（ALB）に割り当てます。 ALBストアの背後にあるAuto ScalingグループでFTPサービスをホストするEC2インスタンスを起動します。添付されたAmazon Elastic Block Store（Amazon EBS）ボリュームのファイル
C. お客様が所有するIPアドレスのブロックをAmazon Route 53に登録しますネットワークロードバランサー（NLB）を指すエイリアスレコードm Route 53を作成しますNLBの背後にあるAuto ScalingグループでFTPサービスをホストするEC2インスタンスを起動しますファイルm Amazon S3
D. 会社のAWSアカウントにお客様所有のiPアドレスのブロックを登録しますアドレスプールからElastic IPアドレスを作成し、それらをSFTPエンドポイントのAWS Transferに割り当てますAWS Transferを使用して、Amazon S3にファイルを保存します。
Answer: D

NEW QUESTION: 4
How should an Administrator BEST architect a large multi-layer Long Short-Term Memory (LSTM) recurrent neural network (RNN) running with MXNET on Amazon EC2? (Choose two.)
A. Use compute-optimized EC2 instances with an attached elastic GPU.
B. Use processing parallelism to partition the workload over multiple storage devices and balance the workload within the GPUs.
C. Use data parallelism to partition the workload over multiple devices and balance the workload within the GPUs.
D. Use general purpose GPU computing instances such as G3 and P3.
Answer: C,D
Explanation:
Explanation
https://aws.amazon.com/blogs/machine-learning/parallelizing-across-multiple-cpu-gpus-to-speed-up-deep-learni