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NEW QUESTION: 1
正確でリアルタイムの気象チャートアプリケーションのパフォーマンスを最適化したいと考えています。 このデータは、50,000個のセンサーからのもので、タイムスタンプとセンサー読み取りの形式で10個の読み取り値を秒単位で送信します。 データをどこに保存すべきですか？
A. Google Cloud Storage
B. Google Cloud SQL
C. Google BigQuery
D. Google Cloud Bigtable
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Low-latency read/write access
* High-throughput analytics
* Native time series support
* Common workloads:
IoT, finance, adtech
* Personalization, recommendations
* Geospatial datasets
* References: https://cloud.google.com/storage-options/
NEW QUESTION: 2
Application A is designed to execute the following SQL statements within a single Unit of Work
UPDATE employee SET salary = salary * 1.1 WHERE empno='000010'
UPDATE department SET deptname = 'NEW dept' WHERE deptno='A00'
Application B is designed to execute the following SQL statements within a single Unit of Work
UPDATE department SET deptname = 'OLD DEPT' WHERE deptno='A00'
UPDATE employee SET salary = salary * 0.5 WHERE empno='000010'
Application A and application B execute their first SQL statement at the same time. When
application A and application B try to execute their second SQL statement, a deadlock occurs.
What will happen?
A. The database managerwill rollback the transaction in one of the two applications.
B. The database managerwill rollback the transaction in both applications.
C. Application A will successfully update the EMPLOYEE and DEPARTMENT tables; Application B will terminate when the lock timeout value is reached.
D. Application B will successfully update the EMPLOYEE and DEPARTMENT tables; Application A will be placed in a lock wait state.
NEW QUESTION: 3
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