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Exam Code: Generative-AI-Leader Dumps

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NEW QUESTION: 1
You need to implement Project6.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them m the correct order.

Answer:
Explanation:

Explanation


NEW QUESTION: 2
Which of the following statements are true about volatile memory?Each correct answer represents a complete solution. Choose all that apply.
A. Read only memory (ROM) is an example of volatile memory.
B. A volatile storage device is faster in reading and writing data.
C. The content is stored permanently and even the power supply is switched off.
D. It is computer memory that requires power to maintain the stored information.
Answer: B,D
Explanation:
Volatile memory, also known as volatile storage, is computer memory that requires power to maintain the stored information, unlike non-volatile memory which does not require a maintained power supply. It has been less popularly known as temporary memory. Most forms of modern random access memory (RAM) are volatile storage, including dynamic random access memory (DRAM) and static random access memory (SRAM). A volatile storage device is faster in reading and writing data.Answer options B and A are incorrect. Non-volatile memory, nonvolatile memory, NVM, or non-volatile storage, in the most basic sense, is computer memory that can retain the stored information even when not powered. Examples of non-volatile memory include read-only memory, flash memory, most types of magnetic computer storage devices (e.g. hard disks, floppy disks, and magnetic tape), optical discs, and early computer storage methods such as paper tape and punched cards.

NEW QUESTION: 3
会社には、15分ごとに更新される天気予報を生成するアプリケーションがあります。これは、サイズがそれぞれ約20バイト(予測ごとに20ギガバイト)の10億の一意の位置の出力解像度で更新されます。 1時間ごとに、世界中の予測データに約500万回(1秒あたり1,400リクエスト)アクセスされ、天気イベント中は最大10倍アクセスされます。予測データは更新ごとに上書きされます。現在の天気予報アプリケーションのユーザーは、クエリに対する応答がリクエストごとに2秒以内に返されることを期待しています。
必要な要求率と応答時間を満たす設計はどれですか?
A. 予測場所をAmazon ESクラスターに保存します。クエリに応答するAWS Lambda関数をオリジンとして、Amazon API GatewayエンドポイントをターゲットとするAmazon CloudFrontディストリビューションを使用します。
キャッシュ制御タイムアウトを15分間に設定して、API GatewayステージでAPIキャッシュを有効にします。
B. Amazon EFSボリュームに予測場所を保存します。 Amazon EFSボリュームをマウントしたAmazon EC2インスタンスのAuto ScalingフリートのElastic Load BalancingグループをターゲットとするAmazon CloudFrontディストリビューションを作成します。 CloudFrontディストリビューションで、設定されたキャッシュ制御タイムアウトを15分間に設定します。
C. 予測場所をAmazon ESクラスターに保存します。クエリに応答するAWS Lambda関数をオリジンとして、API GatewayエンドポイントをターゲットとするAmazon CloudFrontディストリビューションを使用します。 15分間エッジの場所でデータをローカルにキャッシュするAmazon Lambda @ Edge関数を作成します。
D. 予測場所をAmazon S3に個別のオブジェクトとして保存します。 EC2インスタンスのAuto ScalingフリートのElastic Load BalancingグループをターゲットとするAmazon CloudFrontディストリビューションを作成し、S3オブジェクトのオリジンをクエリします。 CloudFrontディストリビューションでキャッシュ制御タイムアウトを15分間に設定します。
Answer: C


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