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NEW QUESTION: 1
住宅価格を予測するモデルを作成しています。予算の制約により、リソースに制約のある単一の仮想マシンで実行する必要があります。どの学習アルゴリズムを使用する必要がありますか？
A. リカレントニューラルネットワーク
B. フィードフォワードニューラルネットワーク
C. 線形回帰
D. ロジスティック分類
Answer: C

NEW QUESTION: 2
In Synchronous dynamic password tokens:
A. The token generates a new non-unique password value at fixed time intervals (this password could be based on the time of day encrypted with a secret key).
B. The unique password is not entered into a system or workstation along with an owner's PIN.
C. The token generates a new password value at fixed time intervals (this password could be based on the time of day encrypted with a secret key).
D. The authentication entity in a system or workstation knows an owner's secret key and PIN, and the entity verifies that the entered password is invalid and that it was entered during the invalid time window.
Answer: A
Explanation:
Synchronous dynamic password tokens:
The token generates a new password value at fixed time intervals (this password could be the
time of day encrypted with a secret key).
The unique password is entered into a system or workstation along with an owner's PIN.
The authentication entity in a system or workstation knows an owner's secret key and PIN, and the
entity verifies that the entered password is valid and that it was entered during the valid time
window.
Source: KRUTZ, Ronald L. & VINES, Russel D., The CISSP Prep Guide: Mastering the Ten
Domains of Computer Security, 2001, John Wiley & Sons, Page 37

NEW QUESTION: 3
Given the code fragment:
Map<Integer, String> books = new TreeMap<>();
books.put (1007, "A");
books.put (1002, "C");
books.put (1003, "B");
books.put (1003, "B");
System.out.println (books);
What is the result?
A. {1007=A, 1003=B, 1003=B, 1002=C}
B. {1007=A, 1002=C, 1003=B, 1003=B}
C. {1002=C, 1003=B, 1007=A}
D. {1007=A, 1003=B, 1002=C}
Answer: C