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NEW QUESTION: 1
Flow action is used in a flow control to define certain actions that should occur while work is being done.
The administrator can determine whether the action will take place automatically or will only take place when initiated manually. When the action takes lace automatically, into which status will the work order or task be put by the flow control?
A. Queued
B. In Progress
C. Initiated
D. Approved
Answer: B
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 2
Which of the following is used by the recipient of a digitally signed email to verify the identity of the sender?
A. Sender's public key
B. Recipient's public key
C. Recipient's private key
D. Sender's private key
Answer: A
Explanation:
Section: Compliance and Operational Security
Explanation/Reference:
Explanation:
When the sender wants to send a message to the receiver, it's important that this message not be altered.
The sender uses the private key to create a digital signature. The message is, in effect, signed with the
private key. The sender then sends the message to the receiver. The recipient uses the public key
attached to the message to validate the digital signature. If the values match, the receiver knows the
message is authentic. Thus, the recipient uses the sender's public key to verify the sender's identity.

NEW QUESTION: 3
近くの気象観測所からデータを収集します。次のデータを含むweather_dfという名前のパンダデータフレームがあります。

データは正午と深夜の12時間ごとに収集されます。
自動機械学習を使用して、今後7日間の気温を予測する時系列モデルを作成することを計画しています。トレーニングの最初のラウンドでは、最大50の異なるモデルをトレーニングする必要があります。
Azure Machine Learning SDKを使用して自動機械学習実験を実行し、これらのモデルをトレーニングする必要があります。
自動機械学習の実行を構成する必要があります。
AutoMLConfig定義をどのように完了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
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: forcasting
Task: The type of task to run. Values can be 'classification', 'regression', or 'forecasting' depending on the type of automated ML problem to solve.
Box 2: temperature
The training data to be used within the experiment. It should contain both training features and a label column (optionally a sample weights column).
Box 3: observation_time
time_column_name: The name of the time column. This parameter is required when forecasting to specify the datetime column in the input data used for building the time series and inferring its frequency. This setting is being deprecated. Please use forecasting_parameters instead.
Box 4: 7
"predicts temperature over the next seven days"
max_horizon: The desired maximum forecast horizon in units of time-series frequency. The default value is 1.
Units are based on the time interval of your training data, e.g., monthly, weekly that the forecaster should predict out. When task type is forecasting, this parameter is required.
Box 5: 50
"For the initial round of training, you want to train a maximum of 50 different models." Iterations: The total number of different algorithm and parameter combinations to test during an automated ML experiment.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig

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