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NEW QUESTION: 1
A customer requests a compute platform to support combined OLTP and OLAP workloads Which platform should you recommend?
A. Edgeline
B. Superdome Flex
C. ProLiant DL
D. ProLiant ML
Answer: B
NEW QUESTION: 2
Which Flex Fabric product extends HP switch features to virtual hosts and extends HP VAN Connection Manager Benefit to virtualized environments'?
A. HP Virtual Connect Manager
B. HP 5900v Virtual Switch
C. HP MSR 2000 router
D. HP Virtual Cloud Networks
Answer: B
Explanation:
Explanation/Reference:
Reference: http://h17007.www1.hp.com/docs/interop/2013/4AA4-6494ENW.pdf
NEW QUESTION: 3
Which of the following are examples of hyperparameters? (Select 2 answers.)
A. Biases
B. Number of hidden layers
C. Weights
D. Number of nodes in each hidden layer
Answer: B,D
Explanation:
If model parameters are variables that get adjusted by training with existing data, your hyperparameters are the variables about the training process itself. For example, part of setting up a deep neural network is deciding how many "hidden" layers of nodes to use between the input layer and the output layer, as well as how many nodes each layer should use. These variables are not directly related to the training data at all.
They are configuration variables. Another difference is that parameters change during a training job, while the hyperparameters are usually constant during a job.
Weights and biases are variables that get adjusted during the training process, so they are not hyperparameters.
Reference: https://cloud.google.com/ml-engine/docs/hyperparameter-tuning-overview
NEW QUESTION: 4
인스턴스 내에서 인스턴스 속성에 액세스하기 위해 어떤 Amazon Elastic Compute Cloud 기능을 쿼리 할 수 있습니까?
A. 인스턴스 사용자 데이터
B. 인스턴스 메타 데이터
C. 리소스 태그
D. 아마존 머신 이미지
Answer: B