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NEW QUESTION: 1
NTP同期の有効な関連付けモードを示す2つのステートメントはどれですか？ （2つ選択）
A. The client listens to NTP broadcasts
B. The client creates a VPN tunnel to an NTP server.
C. The client multicasts NTP requests
D. The client broadcasts NTP requests
E. The client polls NTP servers for time
Answer: A,E
NEW QUESTION: 2
You are performing an ad-hoc backup from a Microsoft Windows client. Which log file would you use to investigate communication issues between the Avamar client and the Avamar server utility node?
A. err.log
B. MOD-workorder-Windows.log
C. avagent.log
D. COD-workorder-Windows.log
Answer: C
NEW QUESTION: 3
次の各ステートメントについて、ステートメントがtrueの場合は、[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。
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