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NEW QUESTION: 1
정보 기술 부서는 Classic Load Balancer 사용을 중단하고 Application Load Balancer로 전환하여 비용을 절감했습니다. 전환 후 구형 장치의 일부 사용자는 더 이상 웹 사이트에 연결할 수 없습니다.
이 상황의 원인은 무엇입니까?
A. Application Load Balancer는 이전 웹 브라우저를 지원하지 않습니다.
B. 중간 인증서는 Application Load Balancer 내에 설치됩니다.
C. Perfect Forward Secrecy 설정이 올바르게 구성되지 않았습니다.
D. Application Load Balancer의 암호화 제품군이 연결을 차단하고 있습니다.
Answer: D

NEW QUESTION: 2
A manufacturer of car engines collects data from cars as they are being driven The data collected includes timestamp, engine temperature, rotations per minute (RPM), and other sensor readings The company wants to predict when an engine is going to have a problem so it can notify drivers in advance to get engine maintenance The engine data is loaded into a data lake for training Which is the MOST suitable predictive model that can be deployed into production'?
A. Add labels over time to indicate which engine faults occur at what time in the future to turn this into a supervised learning problem Use a recurrent neural network (RNN) to train the model to recognize when an engine might need maintenance for a certain fault.
B. This data requires an unsupervised learning algorithm Use Amazon SageMaker k-means to cluster the data
C. Add labels over time to indicate which engine faults occur at what time in the future to turn this into a supervised learning problem Use a convolutional neural network (CNN) to train the model to recognize when an engine might need maintenance for a certain fault.
D. This data is already formulated as a time series Use Amazon SageMaker seq2seq to model the time series.
Answer: B

NEW QUESTION: 3
Which of the following metrics does the ARM feature use to calculate the optimal channel and power level for Access Points? (Choose two)
A. Priority Index
B. Frequency Index
C. Coverage Index
D. RF Spectrum Index
E. Interference Index
Answer: C,E