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NEW QUESTION: 1
You notice a performance change in your production Oracle database and you want to know which change has made this performance difference.
You generate the Compare Period Automatic Database Diagnostic Monitor (ADDM) report to further investigation.
Which three findings would you get from the report? (Choose three.)
A. It detects any configuration change that caused a performance difference in both time periods.
B. It shows the difference in the size of memory pools in both time periods.
C. It identifies any workload change that caused a performance difference in both time periods.
D. It shows the resource usage for CPU, memory, and I/O in both time periods.
E. It gives information about statistics collection in both time periods.
F. It detects the top wait events causing performance degradation.
Answer: A,C,D
Explanation:
Explanation
Keyword: shows the difference.
* Full ADDM analysis across two AWR snapshot periods
Detects causes, measure effects, then correlates them
Causes: workload changes, configuration changes
Effects: regressed SQL, reach resource limits (CPU, I/O, memory, interconnect) Makes actionable recommendations along with quantified impact
* Identify what changed
/ Configuration changes, workload changes
* Performance degradation of the database occurs when your database was performing optimally in the past, such as 6 months ago, but has gradually degraded to a point where it becomes noticeable to the users. The Automatic Workload Repository (AWR) Compare Periods report enables you to compare database performance between two periods of time.
While an AWR report shows AWR data between two snapshots (or two points in time), the AWR Compare Periods report shows the difference (ABE) between two periods (or two AWR reports with a total of four snapshots). Using the AWR Compare Periods report helps you to identify detailed performance attributes and configuration settings that differ between two time periods.

NEW QUESTION: 2
Which DoS protection mechanism detects and prevents session exhaustion attacks?
A. TCP Port Scan Protection
B. Flood Protection
C. Resource Protection
D. Packet Based Attack Protection
Answer: C
Explanation:
Reference:
https://www.paloaltonetworks.com/documentation/71/pan-os/pan-os/policy/dos-protection-profiles

NEW QUESTION: 3
회사에는 온 프레미스 서버에서 실행되는 레거시 애플리케이션이 있습니다. 애플리케이션의 안정성을 높이기 위해 회사는 애플리케이션 로그를 사용하여 실행 가능한 통찰력을 얻고 자 합니다. 솔루션 설계자에게는 솔루션에 대한 다음 요구 사항이 제공되었습니다.
AWS를 사용하여 로그를 집계합니다.
오류에 대한 로그 분석을 자동화합니다.
오류가 지정된 임계 값을 초과하면 운영 팀에 알립니다.
요구 사항을 충족하는 솔루션은 무엇입니까?
A. 서버에 Logstash를 설치하고, Amazon S3에 로그를 보내고, Amazon Athena를 사용하여 오류를 식별하고, sendmail을 사용하여 오류를 운영 팀에 알립니다.
B. 서버에 AWS X-Ray 에이전트를 설치하고, 로그를 AWS Lambda로 전송하고,이를 분석하여 오류를 식별하고, Amazon CloudWatch Events를 사용하여 운영 팀에 오류를 알립니다.
C. 서버에 Amazon CloudWatch 에이전트를 설치하고, Amazon CloudWatch Logs에 로그를 보내고, 지표 필터를 사용하여 오류를 식별하고, CloudWatch 경보를 생성하여 운영 팀에 오류를 알립니다.
D. 서버에 Amazon Kinesis 에이전트를 설치하고, Amazon Kinesis Data Streams에 로그를 전송하고, Amazon Kinesis Data Analytics를 사용하여 오류를 식별하고, Amazon CloudWatch 경보를 생성하여 운영 팀에 오류를 알립니다.
Answer: D
Explanation:
https://docs.aws.amazon.com/kinesis-agent-windows/latest/userguide/what-is-kinesis-agent-windows.html
https://medium.com/@khandelwal12nidhi/build-log-analytic-solution-on-aws-cc62a70057b2

NEW QUESTION: 4
Project5トリガー用のフィルターをどのように構成しますか？回答するには、回答領域で適切なオプションを選択します。
注：それぞれ正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Scenario:

References: https://docs.microsoft.com/en-us/azure/devops/pipelines/build/triggers