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NEW QUESTION: 1
데이터 분석 스타트 업 회사는 솔루션 아키텍트에게 인덱스 데이터에 대한 AWS 데이터 스토어 옵션을 추천하도록 요청합니다. 데이터 처리 엔진은 매일 64TB 이상의 처리 된 데이터를 생성하고 입력하며 항목 크기는 최대 300KB에 도달합니다. 스타트 업은 데이터 스토리지를 유연하게 사용할 수 있으며 증가하는 데이터 세트 크기로 확장하기 위해 최소한의 노력이 필요한 데이터베이스에 더 관심이 있습니다.
Architect는 어떤 AWS 데이터 스토어 서비스를 추천해야 합니까?
A. 아마존 S3
B. 아마존 레드 시프트
C. Amazon DynamoDB
D. Amazon RDS
Answer: C

NEW QUESTION: 2
Click the Exhibit button.

You are asked to configure an OSPF network based on the topology shown in the exhibit. Area 1 must not receive Type 5 LSAs from the backbone, but must be capable of containing ASBRs. What will accomplish this?
A. Area 1 should be configured as an NSSA, which by default meets the network's requirements.
B. R3 should be configured with no-summaries for Area 1, which will suppress Type 5 announcements.
C. R3 should be configured with no-externals for Area 1, which will suppress Type 5 announcements.
D. Area 1 should be configured as a stub area, which by default meets the network's requirements.
Answer: A

NEW QUESTION: 3
組織には、Amazon API Gateway、AWS Lambda、およびAmazon DynamoDBを使用する書き込み集約型のモバイルアプリケーションがあります。アプリケーションは適切にスケーリングされましたが、Lambdaのコストが予想よりも高いため、コストは指数関数的に増加しました。アプリケーションの使用は予測不可能ですが、毎月使用率が着実に20％増加しています。
ソリューションアーキテクトは、現在のLambda関数を監視しているときに、実行時間が平均4.5分であることに気付きます。待機時間のほとんどは、オンプレミスの3 TBのMySQLデータベースサーバーへの高遅延ネットワーク呼び出しの結果です。 VPNを使用してVPCに接続するため、Lambda関数は5分のタイムアウトで構成されています。
ソリューションアーキテクトは現在のアーキテクチャのコストをどのように削減できますか？
A. VPNをAWS Direct Connectに置き換えて、オンプレミスMySQLデータベースへのネットワーク遅延を削減します。モバイルアプリケーションでローカルキャッシュを有効にして、Lambda関数呼び出しの呼び出しを減らします。Lambda関数のパフォーマンスを監視します。許容される実行時間を維持しながら、タイムアウトとメモリのプロパティを徐々に低い値に調整します。頻繁にアクセスされるレコードをDynamoDBからAmazon ElastiCacheにオフロードします。
B. VPNをAWS Direct Connectに置き換えて、オンプレミスMySQLデータベースへのネットワーク遅延を削減します。APICloudの結果をAmazon CloudFrontにキャッシュします。Lambdaの代わりにAmazon EC2リザーブドインスタンスを使用します。ピーク時のスポットインスタンス。DynamoDBAuto Scalingを有効にして、ターゲットの使用率を管理します。
C. MySQLデータベースサーバーをMulti-AZ Amazon RDS for MySQLに移行します。AmazonAPI Gatewayの結果のキャッシュを有効にして、Amazon CloudFrontでLambda関数呼び出しの数を減らします。Lambda関数のパフォーマンスを監視します。許容される実行時間を維持しながら、タイムアウトとメモリのプロパティを徐々に低い値に調整します。頻繁にアクセスされるレコードに対してDynamoDB Acceleratorを有効にし、DynamoDB Auto Scaling機能を有効にします。
D. MySQLデータベースサーバーをMySQL用のマルチAZ Amazon RDSに移行します。APIGatewayでAPIキャッシュを有効にして、Lambda関数呼び出しの数を減らします。AWSLambda関数のパフォーマンスを監視し続けます。許容可能な実行時間を維持しながら、タイムアウトとメモリのプロパティを徐々に低い値に調整します。DynamoDBでAuto Scalingを有効にします。
Answer: D