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NEW QUESTION: 1

A. Server
B. DNS Server
C. Workstation
D. Netlogon
Answer: D

NEW QUESTION: 2
The Secure Hash Algorithm (SHA-1) creates:
A. a fixed length message digest from a variable length input message.
B. a variable length message digest from a variable length input message.
C. a variable length message digest from a fixed length input message.
D. a fixed length message digest from a fixed length input message.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
SHA-1 was designed by NSA and published by NIST to be used with the Digital Signature Standard (DSS).
The Secure Hash Algorithm (SHA-1) computes a fixed length message digest from a variable length input message. This message digest is then processed by the DSA to either generate or verify the signature.
SHA-1 produces a message digest of 160 bits when any message less than 264 bits is used as an input.
SHA-1 has the following properties:
It is computationally infeasible to find a message that corresponds to a given message digest.

It is computationally infeasible to find two different messages that produce the same message digest.

For SHA-1, the length of the message is the number of bits in a message. Padding bits are added to the message to make the total length of the message, including padding, a multiple of 512.
Incorrect Answers:
A: SHA-1 creates a fixed length message digest from a variable length input message, not from a fixed length input message.
B: SHA-1 creates a fixed length message digest, not a variable length message digest.
D: SHA-1 creates a fixed length message digest, not a variable length message digest. The fixed length message digest is created from a variable length input message, not from a fixed length input message.
References:
Krutz, Ronald L. and Russel Dean Vines, The CISSP Prep Guide: Mastering the Ten Domains of Computer Security, John Wiley & Sons, New York, 2001, p. 152

NEW QUESTION: 3
品質保証の目的で、プロジェクト実行計画で使用されているプロセスに対して品質監査が実施されました。監査人が提起した不適合の問題の1つは、プロジェクトリスクレビュー会議の出席リストが利用できないことでした。出席リストが重要なのはなぜですか。
A. 学んだ教訓登録簿に登録されている文書です
B. 会議の参加者数を示す記録です
C. プロジェクトでは、会議への出席に関する記録が必要なリスクレビュー会議を実施するのが標準的な方法です。
D. 出席リストは、リスクレビューミーティングが適切なプロジェクトチームメンバーと開催されたことの証拠です。
Answer: D

NEW QUESTION: 4
A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers Currently, the company has the following data in Amazon Aurora
* Profiles for all past and existing customers
* Profiles for all past and existing insured pets
* Policy-level information
* Premiums received
* Claims paid
What steps should be taken to implement a machine learning model to identify potential new customers on social media?
A. Use clustering on customer profile data to understand key characteristics of consumer segments Find similar profiles on social media.
B. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
C. Use regression on customer profile data to understand key characteristics of consumer segments Find similar profiles on social media.
D. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
Answer: C