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NEW QUESTION: 1
プロのハッカーであるモリスは、ネットワーク上のトラフィックをスニッフィングして、アクティブなシステム、ネットワークサービス、アプリケーション、および脆弱性を特定することにより、ターゲット組織に対して脆弱性スキャンを実行しました。彼はまた、現在ネットワークにアクセスしているユーザーのリストを取得しました。モリスが対象組織に対して実施した脆弱性評価の種類は何ですか？
A. 外部評価
B. 資格評価
C. 受動的評価
D. 内部評価
Answer: C
Explanation:
Detached weakness evaluation adopts an interesting strategy: In checking network traffic, it endeavors to order a hub's working framework, ports and benefits, and to find weaknesses a functioning scan like Nessus or Qualys probably won't discover on the grounds that ports are hindered or another host has come on the web. The information may then give setting to security occasions, for example, relating with IDS alarms to lessen bogus positives.
Uninvolved investigation offers two key points of interest. The first is perceivability. There's regularly a wide hole between the thing you believe is running on your organization and what really is. Both organization and host scan report just what they see. Scan are obstructed by organization and host firewalls. In any event, when a host is live, the data accumulated is here and there restricted to flag checks and some noninvasive setup checks. In the event that your scan has the host certifications, it can question for more data, however bogus positives are an immense issue, you actually may not see everything. Further, rootkits that introduce themselves may run on a nonscanned port or, on account of UDP, may not react to an irregular test. On the off chance that a functioning weakness appraisal scan doesn't see it, it doesn't exist to the scan.
Host firewalls are regular even on worker PCs, so how would you identify a rebel worker or PC with a functioning output? An inactive sensor may see mavericks on the off chance that they're visiting on the organization; that is perceivability a scanner won't give you. A detached sensor likewise will recognize action to and from a port that isn't generally filtered, and may identify nonstandard port utilization, given the sensor can interpret and order the traffic. For instance, basic stream examination won't distinguish SSH or telnet on Port 80, however convention investigation may.
The subsequent significant favorable position of inactive investigation is that it's noninvasive- - it doesn't intrude on organization tasks. Dynamic weakness evaluation scanners are obtrusive and can disturb administrations, regardless of their designers' endeavors to limit the potential for blackouts. In any event, utilizing alleged safe sweeps, we've taken out switches, our NTP administration and a large group of other basic framework segments. Quite a long while prior, we even bobbed our center switch twice with a nmap port output.
NEW QUESTION: 2
シミュレーション
セキュリティコンサルティング会社から部屋とWiFiアクセス制御の推奨事項を受け取りました。各建物をクリックして、利用可能なセキュリティコントロールを表示します。次の要件を実装してください。
最高経営責任者（CEO）のオフィスには、複数の冗長なセキュリティ対策がオフィスのドアに設置されていました。高価なアイリスレンダリングを維持しながら、不要な冗長性を削除して3要素認証を展開します。
パブリックカフェでは、ワイヤレスを利用できます。 WPAでWAPを保護し、顧客の領収書にパスフレーズを配置する必要があります。
データセンターでは、「何か知っている」カテゴリの認証を含め、ドアにある既存のスマートカードリーダーを利用する必要があります。
ヘルプデスクオフィスでは、受付係からゲストに提供される物理トークンを使用して、単一要素認証を要求する必要があります。
PII Officeには冗長なセキュリティ対策があります。 3要素認証を維持し、より高価な制御を維持しながら、冗長性を排除する必要があります。
手順：各オフィスの元のセキュリティコントロールは、[リセット]ボタンを選択することでいつでもリセットできます。各オフィスで上記の要件を満たしたら、[保存]ボタンを選択します。シミュレーション全体が完了したら、[完了]ボタンを選択して送信してください。シミュレーションが送信されたら、[次へ]ボタンを選択して続行してください。
Answer:
Explanation:
NEW QUESTION: 3
You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your application has increased in popularity; this has resulted in a decrease in the performance of the application clue to the increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and a MySQL RDS instance initially deployed with AWS Cloud Formation. Your Auto Scaling group has a min value of 4 and a max value of 8. The desired capacity is now at 8 because of the high CPU utilization of the instances. After some analysis, you are confident that the performance issues stem from a constraint in CPU capacity, although memory utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy this change while minimizing any interruption to your end users?
A. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Also add an UpdatePolicy attribute to your Auto Scalinggroup that specifies AutoScalingRollingUpdate. Run a stack update with the new template.
B. Sign into the AWS Management Console, and update the existing launch configuration with the new C3 instance type. Add an UpdatePolicy attribute to your Auto Scaling group that specifies AutoScalingRollingUpdate.
C. Sign into the AWS Management Console, copy the old launch configuration, and create a new launch configuration that specifies the C3 instances. Update the Auto Scalinggroup with the new launch configuration. Auto Scaling will then update the instance type of all running instances.
D. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Run a stack update with the new template. Auto Scaling will then update the instances with the new instance type.
Answer: A
Explanation:
Explanation
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePoIicy attribute. This is used to define how an Auto Scalinggroup resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances with new ones, according to the parameters specified. For more information on rolling updates, please visit the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/