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NEW QUESTION: 1
どこにルーティングは、国防総省のTCP/ IP参照モデル内で発生するのでしょうか？
A. インターネット
B. 応用
C. 輸送
D. ネットワーク
Answer: A
Explanation:
The picture below shows the comparison between TCP/IP model & OSI model. Notice that the Internet Layer of TCP/IP is equivalent to the Network Layer which is responsible for routing decision.

NEW QUESTION: 2
オンライン小売業者は、Amazon DynamoDBを使用して顧客取引に関連するデータを保存しています。テーブルの項目には、トランザクションを説明するいくつかの文字列属性と、ショッピングカートを含むJSON属性、およびトランザクションに対応するその他の詳細が含まれています。平均アイテムサイズは250KBです。そのほとんどはJSON属性に関連付けられています。平均的な顧客は、1か月に3GBまでのデータを生成します。
顧客はテーブルにアクセスして自分の取引履歴を表示し、必要に応じて取引の詳細を確認します。テーブルに対するクエリの90パーセントがトランザクション履歴ビューの構築時に実行され、他の10パーセントがトランザクションの詳細を取得します。テーブルはCustomerIDでパーティション化され、取引日でソートされます。
クライアントは、テーブル用に準備された非常に高い読み取り容量を持ち、非常に均一な使用率を経験しますが、他のNoSQLソリューションと比較したAmazon DynamoDBのコストについて不満を言います。
品質を低下させずに、クライアントの読み取りクエリに関連するコストを削減する戦略はどれですか。
A. 日付順にソートされたLSIを作成し、JSON属性を索引に射影してから、サマリーデータの主テーブルとJSONの詳細のLSIをクエリします。
B. TransactionIDでパーティションにプライマリテーブルを変更し、顧客でパーティション化されて日付順にソートされたGSIを作成し、小さな属性をGSIに投影し、GSIにサマリデータとプライマリテーブルにJSON詳細を問い合わせます。
C. すべてのデータベース呼び出しを変更して、最終的に一貫した読み取りを使用し、トランザクション履歴が1秒古くなる可能性があることを顧客に通知します。
D. テーブルを垂直方向に分割し、基本属性をプライマリテーブルに格納し、JSONデータを含むセカンダリテーブルへの外部キー参照を作成します。要約データについては1次テーブル、JSON詳細については2次テーブルに照会します。
Answer: A

NEW QUESTION: 3
A company plans to install six Symantec Endpoint Protection Managers (SEPMs) spread evenly across two sites. The administrator needs to direct replication activity to SEPM3 server in Site 1 and SEPM4 in Site 2.
Which two actions should the administrator take to direct replication activity to SEPM3 and SEPM4? (Select two.)
A. Ensure SEPM3 and SEPM4 are defined as remote servers in the replication partner configuration
B. Ensure SEPM3 and SEPM4 are in the same time zone
C. Ensure SEPM3 and SEPM4 are defined as the top priority server in in the Site Settings
D. Install the SQL Server databases on SEPM3 and SEPM4
E. Install SEPM3 and SEPM4 after the other SEPMs
Answer: A,C

NEW QUESTION: 4
회사는 초당 1,000 개의 수신 이벤트를 수신하는 중요한 수집 서비스를 AWS에 구축하고 있습니다.
이벤트는 순서대로 처리되어야 하며 어떤 이벤트도
잃어버린. 여러 응용 프로그램이 각 이벤트를 처리해야 합니다. 회사는 서비스를 API 게이트웨이를 통해 RESTful 호출로 공개합니다.
솔루션 아키텍트는 이러한 요구 사항에 따라 이벤트를 받기 위해 무엇을 사용해야 합니까?
A. Amazon DynamoDB
B. Amazon Kinesis 데이터 스트림
C. Amazon SNS
D. Amazon SQS
Answer: B
Explanation:
Explanation
Q: How does Amazon Kinesis Data Streams differ from Amazon SQS? Amazon Kinesis Data Streams enables real-time processing of streaming big data. It provides ordering of records, as well as the ability to read and/or replay records in the same order to multiple Amazon Kinesis Applications. The Amazon Kinesis Client Library (KCL) delivers all records for a given partition key to the same record processor, making it easier to build multiple applications reading from the same Amazon Kinesis data stream (for example, to perform counting, aggregation, and filtering). Amazon Simple Queue Service (Amazon SQS) offers a reliable, highly scalable hosted queue for storing messages as they travel between computers. Amazon SQS lets you easily move data between distributed application components and helps you build applications in which messages are processed independently (with message-level ack/fail semantics), such as automated workflows.