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NEW QUESTION: 1
Oracleデータベース12cの時間的妥当性機能の使用を可能にするために句の期間を持つテーブルを作成します。
テーブル定義を確認します:
create table employees
(empno number, salary number,
deptid number, name varchar2(100),
period for employee_time);
どの3つのステートメントはEMPLOYEES表の有効期間テンポラル機能の使用に関して真ですか。
A. 有効な時間の列employee_time_startとemployee_time_endは自動的に作成されます。
B. 同じステートメントはAS OF TIMESTAMPとPERIOD FOR句を使用して、トランザクション時間と有効な一時的な時間の両方にフィルタリングすることができます。
C. DBMS_FLASHBACK_ARCHIVE.ENABLE_AT_VALID_TIMEを使用して、データ操作言語（DML）、データ定義言語（DDL）、およびセッションによって実行されるクエリの可視性を設定します。
D. 有効な時間の列が自動的にOracle Serverによって読み込まれていません。
E. テーブルが記述されている時、有効な時間の列がデフォルトで表示されます。
Answer: A,B,D

NEW QUESTION: 2
Which of the following is not a DANZ feature?
A. Tap Aggregation
B. Agile Ports
C. Advanced Mirroring
D. MLAG
Answer: D

NEW QUESTION: 3
You need to ensure that the solution can meet the scaling requirements for Policy Service. Which Azure Application Insights data model should you use?
A. an Application Insights dependency
B. an Application Insights trace
C. an Application Insights metric
D. an Application Insights even
Answer: C
Explanation:
Explanation
Application Insights provides three additional data types for custom telemetry:
Trace - used either directly, or through an adapter to implement diagnostics logging using an instrumentation framework that is familiar to you, such as Log4Net or System.Diagnostics.
Event - typically used to capture user interaction with your service, to analyze usage patterns.
Metric - used to report periodic scalar measurements.
Scenario:
Policy service must use Application Insights to automatically scale with the number of policy actions that it is performing.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/data-model