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NEW QUESTION: 1
データ分類プログラムを実装する組織では、データベースサーバー上のデータに対する最終的な責任は次のとおりです。
A. database administrator
B. information technology manager.
C. information security manager.
D. business unit manager
Answer: D
NEW QUESTION: 2
Answer:
Explanation:
NEW QUESTION: 3
Which of the following LLDP mandatory TLVs are valid for basic management? (Choose five.)
A. System description
B. Isolated address TLV
C. Port description TLV
D. Management address TLV
E. System capabilities TLV
F. Source and destination capabilities TLV
G. System name TLV
Answer: A,C,D,E,G
Explanation:
Explanation/Reference:
Explanation:
LLDP supports a set of attributes that it uses to discover neighbor devices. These attributes contain type, length, and value descriptions and are referred to as TLVs. LLDP supported devices can use TLVs to receive and send information to their neighbors. This protocol can advertise details such as configuration information, device capabilities, and device identity.
The switch supports these basic management TLVs. These are mandatory LLDP TLVs.
+ Port description TLV
+ System name TLV
+ System description TLV
+ System capabilities TLV
+ Management address TLV
These organizationally specific LLDP TLVs are also advertised to support LLDP-MED.
+ Port VLAN ID TLV ((IEEE 802.1 organizationally specific TLVs)
+ MAC/PHY configuration/status TLV(IEEE 802.3 organizationally specific TLVs)
NEW QUESTION: 4
고장 대비 평균 시간을 예측하는 시스템이 있습니다. 선박의 크레인 함대를 모니터링하는 센서가 있습니다. 센서는 다양한 속성을 되돌려 보내고 사용자는 오류가있는 경우 데이터에 레이블을 붙입니다. 이것을 달성하는 가장 간단한 해결책은 무엇입니까? 정답을 선택하십시오.
A. Firehose 및 S3의 데이터를 스트리밍하고 밤에 EMR을 사용하여 처리합니다.
B. KCL을 사용하여 센서 데이터를 DynamoDB에 씁니다.
C. 센서를 AWS IoT 플랫폼에 연결하고 predict ()를 사용하여 곧 실패 할 크레인을 찾습니다
D. 센서에 내장 된 사용자 정의 스크립트를 작성하고 KCL을 사용하여 Firehose에 데이터를 스트리밍하고 S3에 기록하십시오. 그런 다음 Amazon Machine Learning을 사용하여 오류를 모델링하고 예측하십시오.
Answer: C