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NEW QUESTION: 1
What is the important property of catalog roles in SAP HANA?
A. Version management in place
B. Catalog roles are transportable
C. _SYS_REPO needs to be granted privileges on data
D. Privilege revocation is transitive
Answer: D

NEW QUESTION: 2
Scenario:
CGE wants to upgrade to SQL Server 2014 in order to support backend SQL databases that will support the next Citrix environment. The key requirement is high availability for all nodes in the different geographical regions.
Individuals in the Research end-user group need to be able to remotely access a centrally stored database.
Which FlexCast model should the Citrix architect recommend for this group?
A. Hosted VDI
B. Local VM
C. Streamed VHD
D. Hosted Shared
Answer: A

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