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Fortinet NSE7_PBC-7.2 - Fortinet NSE 7 - Public Cloud Security 7.2 Exam Braindumps

Fortinet NSE7_PBC-7.2 - Fortinet NSE 7 - Public Cloud Security 7.2 Exam Braindumps

  • Certification Provider:Fortinet
  • Exam Code:NSE7_PBC-7.2
  • Exam Name:Fortinet NSE 7 - Public Cloud Security 7.2 Exam Exam
  • Total Questions:276 Questions and Answers
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NEW QUESTION: 1
ERP 금융 시스템의 논리적 액세스 제어 감사 중에 IS 감사인은 여러 개인이 공유하는 일부 사용자 계정을 발견했습니다. 사용자 ID는 개별 ID가 아닌 역할을 기반으로 합니다. 이러한 계정을 통해 ERP에서 금융 거래에 액세스 할 수 있습니다. IS 감사인은 다음에 무엇을해야합니까?
A. 감사 범위를 검토합니다.
B. 관리자에게 계정 해지를 요청하십시오.
C. 보상 통제를 찾으십시오.
D. 금융 거래 로그를 검토합니다.
Answer: C
Explanation:
설명:
최상의 논리적 액세스 제어는 각 개인이 책임을 정의 할 수 있도록 사용자 ID를 작성하는 것입니다. 이는 ID와 개인 사이에 일대일 관계를 수립함으로써 가능합니다. 그러나 역할 지정을 기반으로 사용자 ID가 만들어지면 IS 감사인은 이유를 먼저 이해하고 보상 컨트롤의 효율성과 효율성을 평가해야 합니다. 트랜잭션 로그를 검토하는 것은 논리적 액세스 제어 감사와 관련이 없으며 관련 감사 범위를 검토하는 것입니다. IS 감사인은 이유를 이해하고 보완 통제를 평가하기 전에 관리자에게 공유 계정을 사용 중지하도록 요청해야 합니다. IS 감사인은 감사 중에 계정을 사용 중지하도록 요청해야 합니다.

NEW QUESTION: 2
Cloud Pak For IntegrationロギングサービスでのKibanaの機能は何ですか?
A. ログデータの照合、関連付け、解釈
B. ログデータのクエリ、検出、視覚化
C. ログデータをキャプチャ、収集、転送する
D. ログデータのインデックス作成、検索、保存
Answer: D

NEW QUESTION: 3
Refer to the exhibit: The plots represent two models, A and B, being fit to the same two data sets, training and validation.

Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?
A. Model A, It is more complex with a higher accuracy than model B on training data.
B. Model B, It is more complex with a higher accuracy than model A on validation data.
C. Model A, It performs better on the boundary for the training data.
D. Model B, It is simpler with a higher accuracy than model A on validation data.
Answer: D

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