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NEW QUESTION: 1
An administrator provides a digital certificate named ServerCert.
You need to implement Transparent Data Encryption (TDE) on ProductsDB.
Which code segment should you use?
A. USE PRODUCTSDB;
GO
CREATE DATABASE ENCRYPTION KEY WITH ALGORITHM = TRIPLE_DES_3KEY ENCRYPTION BY SERVER CERTIFICATE DBCERT; GO ALTER DATABASE PRODUCTSDB SET ENCRYPTION ON; GO
B. USE PRODUCTSDB;
GO
CREATE DATABASE ENCRYPTION KEY WITH ALGORITHM = AES_256 ENCRYPTION BY
SERVER CERTIFICATE PRODUCTSCERT;
GO
ALTER DATABASE PRODUCTSDB SET ENCRYPTION ON;
GO
C. USE PRODUCTSDB;
GO
CREATE DATABASE ENCRYPTION KEY WITH ALGORITHM = TRIPLE_DES_3KEY ENCRYPTION BY SERVER CERTIFICATE PRODUCTSCERT; GO ALTER DATABASE PRODUCTSDB SET ENCRYPTION ON; GO
D. USE PRODUCTSDB;
GO
CREATE DATABASE ENCRYPTION KEY WITH ALGORITHM = AES_256 ENCRYPTION BY
SERVER CERTIFICATE DBCERT;
GO
ALTER DATABASE PRODUCTSDB SET ENCRYPTION ON;
GO
Answer: B
Explanation:
Explanation/Reference:
Explanation:
http://msdn.microsoft.com/en-us/library/bb934049.aspx

NEW QUESTION: 2
Financial ratios may provide an inaccurate forecast of a company's performance because they are:
A. difficult to incorporate into statistical forecasting.
B. economic rather than accounting values.
C. sensitive to seasonal cash flows.
D. based on snapshots of the company's activity.
Answer: D

NEW QUESTION: 3
あなたはDynamics 365 Customer Service管理者です。
コンプライアンス部門の監査により、Dynamics 365で必要とされるよりも多くのストレージが請求されていることがわかりました。大量のメールが7年間の企業保持ポリシーの時間枠を超え、過剰な請求が発生しています。時間枠を超えた電子メールは削除する必要があり、クリーンアップは今日実行する必要があります。
一括記録削除ウィザードを使用して、保持ポリシーを超えるメールを削除する必要があります。
ウィザードをどのように構成する必要がありますか？回答するには、回答領域で適切な構成を選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

NEW QUESTION: 4
Which of the following types of Intrusion Detection Systems uses behavioral characteristics of a system's operation or network traffic to draw conclusions on whether the traffic represents a risk to the network or host?
A. Host-based ID systems.
B. Signature Analysis.
C. Network-based ID systems.
D. Anomaly Detection.
Answer: D
Explanation:
Explanation/Reference:
There are two basic IDS analysis methods: pattern matching (also called signature analysis) and anomaly detection.
Anomaly detection uses behavioral characteristics of a system's operation or network traffic to draw conclusions on whether the traffic represents a risk to the network or host. Anomalies may include but are not limited to:
Multiple failed log-on attempts
Users logging in at strange hours
Unexplained changes to system clocks
Unusual error messages
The following are incorrect answers:
Network-based ID Systems (NIDS) are usually incorporated into the network in a passive architecture, taking advantage of promiscuous mode access to the network. This means that it has visibility into every packet traversing the network segment. This allows the system to inspect packets and monitor sessions without impacting the network or the systems and applications utilizing the network.
Host-based ID Systems (HIDS) is the implementation of IDS capabilities at the host level. Its most significant difference from NIDS is that related processes are limited to the boundaries of a single-host system. However, this presents advantages in effectively detecting objectionable activities because the IDS process is running directly on the host system, not just observing it from the network. This offers unfettered access to system logs, processes, system information, and device information, and virtually eliminates limits associated with encryption. The level of integration represented by HIDS increases the level of visibility and control at the disposal of the HIDS application.
Signature Analysis Some of the first IDS products used signature analysis as their detection method and simply looked for known characteristics of an attack (such as specific packet sequences or text in the data stream) to produce an alert if that pattern was detected. For example, an attacker manipulating an FTP server may use a tool that sends a specially constructed packet. If that particular packet pattern is known, it can be represented in the form of a signature that IDS can then compare to incoming packets. Pattern- based IDS will have a database of hundreds, if not thousands, of signatures that are compared to traffic streams. As new attack signatures are produced, the system is updated, much like antivirus solutions.
There are drawbacks to pattern-based IDS. Most importantly, signatures can only exist for known attacks.
If a new or different attack vector is used, it will not match a known signature and, thus, slip past the IDS.
Additionally, if an attacker knows that the IDS is present, he or she can alter his or her methods to avoid detection. Changing packets and data streams, even slightly, from known signatures can cause an IDS to miss the attack. As with some antivirus systems, the IDS is only as good as the latest signature database on the system.
For additional information on Intrusion Detection Systems - http://en.wikipedia.org/wiki/ Intrusion_detection_system
Reference(s) used for this question:
Hernandez CISSP, Steven (2012-12-21). Official (ISC)2 Guide to the CISSP CBK, Third Edition ((ISC)2 Press) (Kindle Locations 3623-3625, 3649-3654, 3666-3686). Auerbach Publications. Kindle Edition.

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