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NEW QUESTION: 1
組織には、10,000ドルを超える金額について書かれたすべての小切手に2つの署名を要求するポリシーがあります。支払いに対する管理を評価するとき、監査人は、より大きなリスクが存在すると結論付けます。
A. 監査人は、承認済みの署名が1つ含まれている$ 9,000の小切手を2つ見つけました。
B. 5,000ドルから10,000ドルまでの連続した番号の小切手が同じベンダーに支払われるようになったいくつかの事例がありました。
C. 10,000ドルは組織にとって重要な金額ではなく、10,000ドルを超える金額を必要とする現金支払いはごくわずかです。
D. 経理部長は承認された署名者の1人ではありませんでした。
Answer: B

NEW QUESTION: 2
セキュリティプログラムマネージャーは、システムのセキュリティ状態を積極的にテストしたいと考えています。システムはまだ運用されておらず、稼働時間の要件もアクティブユーザーベースもありません。
実際に悪用された脆弱性を示すレポートを生成する方法は次のうちどれですか?
A. コンポーネントのテスト
B. ピアレビュー
C. 侵入テスト
D. 脆弱性テスト
Answer: C
Explanation:
説明
侵入テスト、またはペンテストは、脆弱性を安全に悪用しようとすることにより、ITインフラストラクチャのセキュリティを評価する試みです。

NEW QUESTION: 3
Which AQL query, when run from IBM Security QRadar SIEM V7.2.8, will show EPS broken down by domains?
A. select DOMAINNAME (domainqid) as LogSource, sum(eventcount) / ((max(endTime)
- min(startTime)) /1000 ) as EPS from events group by domainqid order by FPM desc last
2 4 hours
B. select DOMAINNAME (domainid) as LogSource, sum(eventcount) / ((max(endTime) - min(startTime)) /1000 ) as EPS from events group by domainid order by EPS desc last 24 hours
C. select DOMAINNAME (domainid) as LogSource, sum(events) / ((max(endTime) - min(startTime)) / 1000 )as EPS from events group by domainid order by EPS desc last 24 hours
D. select DOMAINNAME (domainid) as LogSource, sum(events) / ((max(endTime) - min(startTime)) / 1000 ) as EPS from events group by domainid order by FPM desc last 24 hours
Answer: B
Explanation:
You would use single-quotes to define this search string. I believe I had an example in the presentation yesterday I need to fix where I accidently used double-qoutes, which is incorrect.
The AQL search below uses quotes correctly:
select logsourcename(logsourceid) as LogSource, sum(eventcount) / ( (
max(endTime) - min (startTime) ) / 1000 ) as EPS from events WHERE
logsourcename(logsourceid) = 'Windows Auth @ 10.10.10.10' group by logsourceid order by EPS desc last 5 MINUTES Or to snag multiple log sources, for example Windows events, you could use the following:
select logsourcename(logsourceid) as LogSource, sum(eventcount) / ( (
max(endTime) - min (startTime) ) / 1000 ) as EPS from events WHERE
logsourcename(logsourceid) is ILIKE '%Windows%' group by logsourceid order by EPS desc last 5 MINUTES Reference: https://www.ibm.com/developerworks/community/forums/html/topic?id=dea8ff96-
1 372-4242-be14-
4 73b6e4be798