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NEW QUESTION: 1
Refer to the exhibit. A network administrator is adding two new hosts to SwitchA. Which three values could be used for the configuration of these hosts? (Choose three.)

A. host B IP address: 192.168.1.190
B. host B default gateway: 192.168.1.129
C. host A default gateway: 192.168.1.78
D. host B IP address: 192.168.1.128
E. host A IP address: 192.168.1.79
F. host A IP address: 192.168.1.64
Answer: A,C,E

NEW QUESTION: 2
大規模な金融会社が、Amazon EC2およびAmazon RDSインスタンスで構成されるアプリケーションをAWSクラウド形成を使用してAWSクラウドにデプロイしています。
CloudFormationスタックには、次のスタックポリシーがあります。

会社は、開発者が私を更新するときにRDSインスタンスを誤って削除または置換することによってデータを失わないようにしたいと考えています。クラウドフォーメーションスタック開発者も、必要に応じてEC2インスタンスを変更または削除できる必要があります。 要件？
A. Modify the statement to specify "Effect" "Deny" "Action" ["Update *"] for all logical RDS resources
B. Add a second statement that specifies "Effect" "Deny" "Action" ["Update Delete" "Update Replace"] for all logical RDS resources
C. Add a second statement that specifies "Effect" "Deny" "Action" ["Update'"] for all logical RDS resources
D. Modify the statement to specify "Effect" "Deny" "Action" ("Update Delete"] lor all logical RDS resources
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/protect-stack-resources.html

NEW QUESTION: 3
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 is already formulated as a time series Use Amazon SageMaker seq2seq to model the time series.
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 requires an unsupervised learning algorithm Use Amazon SageMaker k-means to cluster the data
Answer: D