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NEW QUESTION: 1
You created a component interface based on a component that has a parent and one noneffective-dated child (Level 0 and 1). You have been asked to write the PeopleCode to insert a new row in the collection if the row does not exist. In order to determine whether the row already exists, which method will you use?
A. GetEffectiveItem()
B. CurrentItem()
C. InsertItem()
D. ItembyKeys()
E. GetEffectiveItemNum()
Answer: D

NEW QUESTION: 2









Answer:
Explanation:

Explanation:
Operation Mode: Read-Write
Query Store Capture Mode: Auto
Size Based Cleanup Mode: AUTO
Operation Mode: Read-Write
It is strongly recommended to activate size-based cleanup to makes sure that Query Store always runs in read-write mode and collects the latest data.
Query Store Capture Mode: Auto
Auto - Infrequent queries and queries with insignificant compile and execution duration are ignored. Thresholds for execution count, compile and runtime duration are internally determined.
Size Based Cleanup Mode: AUTO
It is strongly recommended to activate size-based cleanup to makes sure that Query Store always runs in read-write mode and collects the latest data.
OFF - size based cleanup won't be automatically activated.
AUTO - size based cleanup will be automatically activated when size on disk reaches 90% of max_storage_size_mb. This is the default configuration value.
Size based cleanup removes the least expensive and oldest queries first. It stops at approximately 80% of max_storage_size_mb.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/system-catalog-views/sys- database-query-store-options-transact-sql
https://docs.microsoft.com/en-us/sql/relational-databases/performance/best-practice-with- the-query-store#set-the-optimal-query-capture-mode

NEW QUESTION: 3
モバイルゲームアプリケーションは、Amazon Kinesis Data Streamsに継続的にデータを公開します。 AWS Lambda関数は、データストリームからのレコードを処理し、Amazon DynamoDBテーブルに書き込みます。 DynamoDBテーブルでは、ターゲットの使用率が70％に設定された自動スケーリングポリシーが有効になっています。毎日の最初と最後の数分間、トラフィックが急増し、通常の負荷の5倍を超えることがよくあります。会社は、KinesisデータストリームのGetRecords.IteratorAge Millisecondsメトリックが数分間、一時的に1分以上に急上昇することに気付きました。 AWS Lambda関数は、これらの時間中にプロビジョニングされたスループットの超過例外メッセージをAmazon CloudWatch Logsに書き込み、一部のレコードはデッドレターキューにリダイレクトされます。ゲームアプリケーションでKinesisプロデューサーから例外がスローされないこの問題を解決するために、会社はどのような変更を行う必要がありますか？
A. DynamoDBテーブルの自動スケーリングポリシーのターゲット使用率を20％に減らして、負荷の急上昇にすばやく対応します。
B. アプリケーションのAuto Scalingを使用して、予測可能な負荷スパイク中にDynamoDBテーブルの書き込み容量をスケールアウトするスケーリングスケジュールを設定します。
C. Amazon CloudWatchイベントを使用して配信不能キューを監視し、Lambda関数を呼び出して失敗したレコードを自動的に再試行します。
D. Kinesisデータストリームのシャードの数を増やして、スループット容量を増やします。
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scheduled-scaling.html