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NEW QUESTION: 1
조직의 데이터웨어 하우스에는보고 용도로 판매 데이터가 포함되어 있습니다. 데이터 거버넌스 정책은 직원이 고객의 신용 카드 번호에 액세스하는 것을 금지합니다.
이러한 정책을 어떻게 적용하고 데이터 과학자가 동일한 신용 카드 번호를 사용하는 거래를 그룹화 할 수 있습니까?
A. 비대칭 암호화 키로 신용 카드 번호를 암호화하고 승인 된 데이터 과학자에게만 암호 해독 키를 제공하십시오.
B. 신용 카드 번호를 대칭 암호화 키로 암호화하고 인증 된 데이터 과학자에게만 키를 제공하십시오.
C. 신용 카드 번호의 암호화 해시를 저장하십시오.
D. 신용 카드 번호의 마지막 네 자리 만 표시하도록 신용 카드 번호를 숨깁니다.
Answer: D
NEW QUESTION: 2
A. Option A
B. Option C
C. Option D
D. Option B
Answer: D
Explanation:
The Link Layer Discovery Protocol (LLDP) is a vendor-neutral link layer protocol in the Internet Protocol Suite used by network devices for advertising their identity, capabilities, and neighbors on an IEEE 802 local area network, principally wired Ethernet. LLDP performs functions similar to several proprietary protocols, such as the Cisco Discovery Protocol (CDP).
Reference: http://en.wikipedia.org/wiki/Link_Layer_Discovery_Protocol
NEW QUESTION: 3
A developer is creating a simple webpage with a button. When a user clicks this button for the first time, a message is displayed.
The developer wrote the JavaScript code below, but something is missing. The message gets displayed every time a user clicks the button, instead of just the first time.
01 function listen(event) {
02 alert ( 'Hey! I am John Doe') ;
03 button.addEventListener ('click', listen);
Which two code lines make this code work as required?
Choose 2 answers
A. On line 06, add an option called once to button.addEventListener().
B. On line 04, use event.stopPropagation ( ),
C. On line 04, use button.removeEventListener(' click" , listen);
D. On line 02, use event.first to test if it is the first execution.
Answer: A,C
NEW QUESTION: 4
音声認識の深層学習モデルを作成する予定です。
モデルはPythonの最新バージョンをサポートする必要があります。
Data Science Virtual Machine（DSVM）に含めるには、音声認識のディープラーニングフレームワークを推奨する必要があります。
何をお勧めしますか？
A. Weka
B. Apache Drill
C. Tensorflow
D. Rattle
Answer: C
Explanation:
Explanation
TensorFlow is an open source library for numerical computation and large-scale machine learning. It uses Python to provide a convenient front-end API for building applications with the framework TensorFlow can train and run deep neural networks for handwritten digit classification, image recognition, word embeddings, recurrent neural networks, sequence-to-sequence models for machine translation, natural language processing, and PDE (partial differential equation) based simulations.
References:
https://www.infoworld.com/article/3278008/what-is-tensorflow-the-machine-learning-library-explained.html
