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NEW QUESTION: 1
A. Option D
B. Option B
C. Option C
D. Option A
Answer: B
Explanation:
Explanation
To carry out multitasking, the operating system sometimes moves process threads among different processors.
This is efficient from an operating system point of view, but can reduce SQL Server performance under heavy system loads, as each processor cache is repeatedly reloaded with data. Assigning processors to specific threads can improve performance under these conditions by eliminating processor reloads; such an association between a thread and a processor is called processor affinity.
References:
https://msdn.microsoft.com/en-us/library/ms189629%28v=sql.110%29.aspx
NEW QUESTION: 2
Which of following annotations can be used in a servlet class?
[email protected] [email protected] [email protected] [email protected] [email protected]
A. (i), (ii), (iii), (iv) and (v)
B. (v) only
C. (i) and (v)
D. (i), (ii), (iv) and (v)
E. (i), (ii), (iii) and (v)
Answer: C
Explanation:
* (i)The javax.annotation.Resource annotation is used to declare a reference to a resource. @Resource can decorate a class, a field, or a method.
* (v)javax.servlet.annotation Annotation Type WebServlet
Annotation used to declare a servlet.
This annotation is processed by the container at deployment time, and the corresponding servlet made available at the specified URL patterns.
Incorrect:
* Not (II) :javax.annotation.PreDestroy Target: Method
NEW QUESTION: 3
正確なリアルタイムの天気図作成アプリケーションのパフォーマンスを最適化する必要があります。データは、タイムスタンプとセンサー読み取り値の形式で、1秒に10個の読み取り値を送信する50,000個のセンサーから取得されます。データをどこに保存する必要がありますか？
A. Google Cloud Bigtable
B. Google BigQuery
C. Google Cloud SQL
D. Google Cloud Storage
Answer: A
Explanation:
Explanation
It is time-series data, So Big Table.
https://cloud.google.com/bigtable/docs/schema-design-time-series
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
* Low-latency read/write access
* High-throughput analytics
* Native time series support
* Common workloads:
* IoT, finance, adtech
* Personalization, recommendations
* Monitoring
* Geospatial datasets
* Graphs
References: https://cloud.google.com/storage-options/