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NEW QUESTION: 1
エンタープライズ展開では、ネットワークセキュリティエンジニアは、ファイアウォールにローカル管理者アカウントを作成せずに、管理者グループに割り当てる必要があります。
どの認証方法を使用する必要がありますか？
A. LDAP
B. Certification based authentication
C. RADIUS with Vendor-Specific Attributes
D. Kerberos
Answer: C

NEW QUESTION: 2
IPの温暖化は________________によって達成されます。
A. 有効なEメールアドレスに大量のEメールを送信する
B. Eloquaから送信されたすべてのEメールについて成果レポートを実行する
C. 質の高い連絡先への電子メールの量を徐々に増やす
D. すべてのメールドメインに対するDKIMの設定
Answer: C

NEW QUESTION: 3
What can an asset in the SAP Analytics Hub contain? (There are 2 correct answers to this question)
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B. Tag
C. Model
D. URL
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NEW QUESTION: 4
Joe a company's new security specialist is assigned a role to conduct monthly vulnerability scans across the network. He notices that the scanner is returning a large amount of false positives or failed audits. Which of the following should Joe recommend to remediate these issues?
A. Ensure the vulnerability scanner is attempting to exploit the weaknesses it discovers
B. Ensure the vulnerability scanner is configured to authenticate with a privileged account
C. Ensure the vulnerability scanner is conducting antivirus scanning
D. Ensure the vulnerability scanner is located in a segmented VLAN that has access to the company's servers
Answer: D
Explanation:
The vulnerability scanner is returning false positives because it is trying to scan servers that it doesn't have access to; for example, servers on the Internet.
We need to ensure that the local network servers only are scanned. We can do this by locating the vulnerability scanner in a segmented VLAN that has access to the company's servers.
A false positive is an error in some evaluation process in which a condition tested for is mistakenly found to have been detected.
In spam filters, for example, a false positive is a legitimate message mistakenly marked as UBE --unsolicited bulk email, as junk email is more formally known. Messages that are determined to be spam -- whether correctly or incorrectly -- may be rejected by a server or client-side spam filter and returned to the sender as bounce e-mail.
One problem with many spam filtering tools is that if they are configured stringently enough to be effective, there is a fairly high chance of getting false positives. The risk of accidentally blocking an important message has been enough to deter many companies from implementing any anti-spam measures at all.
False positives are also common in security systems. A host intrusion prevention system (HIPS), for example, looks for anomalies, such as deviations in bandwidth, protocols and ports. When activity varies outside of an acceptable range - for example, a remote application attempting to open a normally closed port -- an intrusion may be in progress.
However, an anomaly, such as a sudden spike in bandwidth use, does not guarantee an actual attack, so this approach amounts to an educated guess and the chance for false positives can be high.
False positives contrast with false negatives, which are results indicating mistakenly that some condition tested for is absent.