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NEW QUESTION: 1
ソリューションアーキテクトは、暗号化されていないEBSスナップショットから復元されたすべてのAmazon Elastic Block Store（Amazon EBS）ボリュームが確実に暗号化されるようにする必要があります。
A. AWSリージョンのデフォルトでEBS暗号化を有効にします
B. 特定のボリュームに対してデフォルトでEBS暗号化を有効にします
C. 新しいボリュームを作成し、暗号化に使用する非対称カスタマーマスターキー（CMK）を指定します。
D. 新しいボリュームを作成し、暗号化に使用する対称カスタマーマスターキー（CMK）を指定します
Answer: A
NEW QUESTION: 2
What are two features of the Cisco EnergyWise solution? (Choose two.)
A. It raises operating costs but provides the opportunity for tax incentives.
B. It works only with Cisco products.
C. It measures, reduces, and reports energy usage across the entire corporate infrastructure.
D. It automatically controls devices on the network such as IP phones, lights, and air conditioning.
E. It is added on to the Cisco Integrated Services Router.
Answer: C,D
Explanation:
Explanation/Reference:
Reference: http://www.cisco.com/en/US/prod/switches/ps5718/ps10195/white_paper_c11- 514539.html
NEW QUESTION: 3
A customer has decided on EMC Avamar as a solution. They are trying to decide on the amount of nodes to purchase. They want maximum storage capacity.
What is a recommended maximum number of data nodes for an initial Avamar server configuration?
A. 0
B. 1
C. 2
D. 3
Answer: A
NEW QUESTION: 4
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Yes
Automated machine learning, also referred to as automated ML or AutoML, is the process of automating the time consuming, iterative tasks of machine learning model development. It allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality.
Box 2: No
Box 3: Yes
During training, Azure Machine Learning creates a number of pipelines in parallel that try different algorithms and parameters for you. The service iterates through ML algorithms paired with feature selections, where each iteration produces a model with a training score. The higher the score, the better the model is considered to "fit" your data. It will stop once it hits the exit criteria defined in the experiment.
Box 4: No
Apply automated ML when you want Azure Machine Learning to train and tune a model for you using the target metric you specify.
The label is the column you want to predict.
Reference:
https://azure.microsoft.com/en-us/services/machine-learning/automatedml/#features