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NEW QUESTION: 1
Amazon DynamoDB 고객이 처리량 극대화를 따라야 하는 다음 기술은 무엇입니까?
A. 범위 키만 있는 테이블 만들기
B. 적은 수의 고유 값이 균일하게 요청된 파티션 키로 테이블을 작성하십시오.
C. 균일하게 요청된 많은 고유 값이 있는 파티션 키를 사용하여 테이블을 작성하십시오.
D. 가능한 적은 파티션 키로 테이블을 만듭니다.
Answer: C
NEW QUESTION: 2
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. 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。
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。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。
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. 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。
Answer: A
NEW QUESTION: 3
A Solutions Architect is designing the storage layer for a data warehousing application. The data files are large, but they have statically placed metadata at the beginning of each file that describes the size and placement of the file's index. The data files are read in by a fleet of Amazon EC2 instances that store the index size, index location, and other category information about the data file in a database. That database is used by Amazon EMR to group files together for deeper analysis.
What would be the MOST cost-effective, high availability storage solution for this workflow?
A. Store the data files on Amazon EBS volumes and allow the EC2 fleet and EMR to mount and unmount the volumes where they are needed.
B. Store the content of the data files in Amazon DynamoDB tables with the metadata, index, and data as their own keys.
C. Store the data files in Amazon EFS mounted by the EC2 fleet and EMR nodes.
D. Store the data files in Amazon S3 and use Range GET for each file's metadata, then index the relevant data.
Answer: D
Explanation:
Effectively performs a 'ranged' GET request for the part specified. Useful for downloading just a part of an object.
https://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectGET.html
B: The maximum throughput you can drive for each NFS client is 250 MB/s. S3 does not have this limit.
C: Can only be mounted on a single instance and not scalable.
D: The file is too large for Dynamo DB.
NEW QUESTION: 4
Under the basic indicator approach to determining operational risk capital, operational risk capital is equal to:
A. 15% of the average net income (considering only the positive years) of the past three years
B. 15% of the average gross income (considering only the positive years) of the past three years
C. 15% of the average gross income of the past five years
D. 25% of the average gross income (considering only the positive years) of the past three years
Answer: B
Explanation:
Explanation
Choice 'a' is the correct answer. According to the Basel II document, banks using the Basic Indicator Approach must hold capital for operational risk equal to the average over the previous three years of a fixed percentage (denoted alpha, and currently 15%) of positive annual gross income. Figures for any year in which annual gross income is negative or zero should be excluded from both the numerator and denominator when calculating the average.