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NEW QUESTION: 1
An administrator wants to install a patch to an application.
INSTRUCTIONS
Given the scenario, download, verify, and install the patch in the most secure manner.
The last install that is completed will be the final submission.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.







Answer:
Explanation:
See the explanation below.
In this case the second link should be used (This may vary in actual exam). The first link showed the following error so it should not be used.

Also, Two of the link choices used HTTP and not HTTPS as shown when hovering over the links as shown:

Since we need to do this in the most secure manner possible, they should not be used.Finally, the second link was used and the MD5 utility of MD5sum should be used on the install.exe file as shown. Make sure that the hash matches.

Finally, type in install.exe to install it and make sure there are no signature verification errors.

NEW QUESTION: 2
プロバイダー、プラットフォームに関係なく、アプリケーションコンポーネントの移動と再利用の容易さを定義するもの
0S、インフラストラクチャ、場所、ストレージ、データまたはAPIの形式、アプリケーションがどの程度連携しているか、新しいアプリケーションがビジネス、組織、またはプロバイダーの既存のアーキテクチャに存在する他のソリューションとどの程度連携しているか。
A. 弾力性
B. 移植性
C. スケーラビリティ
D. 相互運用性
Answer: D
Explanation:
Interoperability is an important characteristic.
Definition: Interoperability
Interoperability is the ability of a system or a product to work with other systems or products without special effort on the part of the customer.

NEW QUESTION: 3
What detectors identify abnormal unusual behavior on a host or network?
A. Legitimate detectors.
B. Anomaly detectors.
C. None of the choices.
D. Normal detectors.
Answer: B
Explanation:
Anomaly detectors identify abnormal unusual behavior (anomalies) on a host or network. They function on the assumption that attacks are different from "normal" (legitimate) activity and can therefore be detected by systems that identify these differences. Anomaly detectors construct profiles representing normal behavior of users, hosts, or network connections. These profiles are constructed from historical data collected over a period of normal operation. The detectors then collect event data and use a variety of measures to determine when monitored activity deviates from the norm.