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NEW QUESTION: 1
You have Azure IoT Edge devices that generate measurement data from temperature sensors. The data changes very slowly.
You need to analyze the data in a temporal two-minute window. If the temperature rises five degrees above a limit, an alert must be raised. The solution must minimize the development of custom code.
What should you use?
A. an Azure Machine Learning model as an IoT Edge module
B. Azure Functions as an IoT Edge module
C. Azure Stream Analytics as an IoT Edge module
D. A Machine Learning model as a web service
Answer: C
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/iot-edge/tutorial-deploy-stream-analytics
NEW QUESTION: 2
A tester has captured a NetNTLMv2 hash using Responder Which of the following commands will allow the tester to crack the hash using a mask attack?
A. hashcat -m 5600 -r rulea/beat64.rule hash.txt wordliat.txt
B. hashcat -m 5600 -o reaulta.txt hash.txt wordliat.txt
C. hashcax -m 500 hash.txt
D. hashc&t -m 5600 -a 3 haah.txt ?a?a?a?a?a?a?a?a
Answer: D
NEW QUESTION: 3
다음 중 소프트웨어 모듈을 테스트하기 위한 동적 분석 도구는 무엇입니까?
A. 책상 점검
B. 블랙 박스 테스트
C. 설계 및 코드
D. 구조적 워크 스루
Answer: B
Explanation:
설명:
블랙 박스 테스트는 소프트웨어 모듈을 테스트하기 위한 동적 분석 툴입니다. 소프트웨어 모듈 테스트 과정에서 블랙 박스 테스트는 소프트웨어 모듈 전반에 걸쳐 사용자 데이터가 있는 수많은 모듈과 초로 구성된 단일 단위 / 엔티티로서 응집력있는 방식으로 먼저 작동합니다. 경우에 따라 소프트웨어 동작을 유발하는 경우도 있습니다.
NEW QUESTION: 4
重要なセキュリティパッチの適用を遅らせるための最良の理由は次のうちどれですか？
A. 脆弱性管理の欠如
B. リソースの制限
C. ソフトウェア開発ライフサイクルとの競合
D. テクノロジーの相互依存
Answer: D