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NEW QUESTION: 1
企業は、オンプレミスの非対称キー管理システムをAWSに移行する必要があります。
これを実現するにはどのAWSサービスを使用する必要がありますか？
A. AWS証明書マネージャー
B. AWS CloudHSM
C. AWSシークレットマネージャー
D. AWS KMS
Answer: B

NEW QUESTION: 2
開発者がHTTP 400：Amazon CloudWatch APIを呼び出すときにThrottlingExceptionエラーを断続的に受信しています。呼び出しが失敗すると、データは取得されません。この問題に対処するには、最初にどのベストプラクティスを適用する必要がありますか
A. AWS CLIを使用してメトリックを取得する
B. 制限の引き上げについては、AWSサポートにお問い合わせください。
C. アプリケーションを分析し、API呼び出しを削除します
D. 指数バックオフでコールを再試行します
Answer: B
Explanation:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_limits.html

NEW QUESTION: 3
実稼働環境の初期設定からWebLogicのJDBC接続プールを調整するために実行する必要がある3つの手順は何ですか。
A. ステートメントのキャッシュサイズを増やします。
B. 最大サイズが適切な設定に増加していることを確認します。
C. 接続プールの最小サイズと最大サイズを同じ値に設定します。
D. JVMにヒープを追加します。
E. クラスターにノードを追加します。
Answer: A,B,E
Explanation:
A:
*Troubleshooting Slow Response Time from the Client and Low Database Usage
These symptoms are usually caused by a bottleneck upstream of the database, perhaps in the
JDBC connectionpooling. Monitor the active JDBC connections in the WebLogic Console and
watch for excessive waiters and wait times; increase the pool size, if necessary.
*Attribute: Maximum Capacity
Maximum number of physical database connections that this connection pool can contain.
Different JDBC Drivers and database servers may limit the number of possible physical
connections.
C: Attribute: Statement Cache Size
The algorithm used to maintain the statement cache:
LRU - After the statementCacheSize is met, the Least Recently Used statement is removed when a new statement is used.
Fixed - The first statementCacheSize number of statements is stored and stay fixed in the cache. No new statements are cached unless the cache is manually cleared.
E: If the queue appears starved but adding execute threads does not improve performance, there may be resource contention. Because CPU utilization is low, the threads are probably spending much of their time waiting for some resource, quite often a database connection. Use the JDBC monitoring facilities in the console to check for high levels of waiters or long wait times. Adding connections to the JDBC connection pool may be all that is required to fix the problem.
Note:
* If you had a JDBC connection pool where the Initial Capacity and Maximum Capacity attributes were different, you might want to create a gauge monitor to monitor the maximum and minimum number of connections. By setting the Threshold Low value to be one less than the Initial Capacity, your gauge monitor trapcould monitor the ActiveConnectionsCurrentCount attribute of the JDBCDataSourceRuntime MBean and alert you whenever the number of active connections are less than the Initial Capacity (which might indicate database connectivity problems).