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NEW QUESTION: 1
You use the Azure Machine Learning service to create a tabular dataset named training.data. You plan to use this dataset in a training script.
You create a variable that references the dataset using the following code:
training_ds = workspace.datasets.get("training_data")
You define an estimator to run the script.
You need to set the correct property of the estimator to ensure that your script can access the training.data dataset Which property should you set?
A)

B)

C)

D)

A. Option A
B. Option D
C. Option B
D. Option C
Answer: A
Explanation:
Explanation
Example:
# Get the training dataset
diabetes_ds = ws.datasets.get("Diabetes Dataset")
# Create an estimator that uses the remote compute
hyper_estimator = SKLearn(source_directory=experiment_folder,
inputs=[diabetes_ds.as_named_input('diabetes')], # Pass the dataset as an input compute_target = cpu_cluster, conda_packages=['pandas','ipykernel','matplotlib'], pip_packages=['azureml-sdk','argparse','pyarrow'], entry_script='diabetes_training.py') Reference:
https://notebooks.azure.com/GraemeMalcolm/projects/azureml-primers/html/04%20-%20Optimizing%20Model

NEW QUESTION: 2
ウェブサイトのデザイナーから、ページのデザインとして次の画像が提供されました。

タブの通常の色は* 2da4c2で、マウスがタブの上にあるときの色は＃ffd800です。
ナビゲーションタブを実装するHTMLは以下の通りです。

デザインを実装する必要があります。
あなたは何をするべきか？ （回答するには、回答領域で適切なオプションを選択してください。）


Answer:
Explanation:

NEW QUESTION: 3
Which of the following responsibilities would fall under the role of the chief audit executive, rather than internal audit staff or the audit manager?
A. Maintain industry-specific knowledge appropriate to the audit engagements
B. Set clear performance standards for internal auditors and the internal audit activity.
C. Apply problem-solving techniques for routine situations.
D. Manage and support a quality assurance and improvement program.
Answer: B