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NEW QUESTION: 1
조직은 대량의 해시 태그 데이터 스트림을 실시간으로 처리해야 하며 특정 태그에 대한 통찰력을 얻으려면 데이터에 대해 사용자 지정 SQL 쿼리를 실행해야 합니다. 조직은 이 솔루션이 탄력적이어야 하고 클러스터를 관리하고 싶지 않습니다.
다음 중 어떤 AWS 서비스가 이러한 요구 사항을 충족합니까?
A. 아마존 아테나
B. 아마존 레드 시프트
C. Amazon Kinesis Data Analytics
D. Amazon Elasticsearch Service
Answer: C
Explanation:
Explanation
The streaming source for your application. You can select either a Kinesis data stream or a Kinesis Data Firehose data delivery stream as the streaming source. In the input configuration, you map the streaming source to an in-application input stream. The in-application stream is like a continuously updating table upon which you can perform the SELECT and INSERT SQL operations. In your application code, you can create additional in-application streams to store intermediate query results.
Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. Amazon Kinesis Data Analytics reduces the complexity of building, managing, and integrating streaming applications with other AWS services. SQL users can easily query streaming data or build entire streaming applications using templates and an interactive SQL editor. Java developers can quickly build sophisticated streaming applications using open source Java libraries and AWS integrations to transform and analyze data in real-time. Amazon Kinesis Data Analytics takes care of everything required to run your real-time applications continuously and scales automatically to match the volume and throughput of your incoming data. With Amazon Kinesis Data Analytics, you only pay for the resources your streaming applications consume. There is no minimum fee or setup cost.
https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works.html

NEW QUESTION: 2
OrderDetailという名前のテーブルを含むMicrosoft SQL Server 2014データベースを管理します。
NCI_OrderDetail_CustomerID非クラスタ化インデックスが断片化されていることがわかります。断片化を減らす必要があります。インデックスをオフラインにせずにこの目標を達成する必要があります。
どのTransact-SQLバッチを使用しますか?
A. OrderDetail.CustomerIDに対するALTER INDEX NCI_OrderDetail_CustomerID
B. OrderDetail.CustomerIDにALTER INDEX NCI_OrderDetail_CustomerIDが再構築されました
C. OrderDetail REBUILDのすべての索引の変更
D. DROPが存在する場合のOrderDetail.CustomerIDにINDEX NCI_OrderDetail_CustomerIDを作成します。
Answer: A
Explanation:
REORGANIZE specifies to reorganize the index leaf level. The REORGANIZE operation is always performed online. This means long-term blocking table locks are not held and queries or updates to the underlying table can continue during the ALTER INDEX REORGANIZE transaction.
References:https://docs.microsoft.com/en-us/sql/t-sql/statements/alter-index-transact-sql

NEW QUESTION: 3
Users are complaining that performance is slow. You recognize on the database machine that the disk I/O is consistently high and page faults are high.What is the most likely cause?
A. disk
B. CPU
C. memory
D. network
Answer: C