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NEW QUESTION: 1
ハイパードライブを使用して、モデルのトレーニング時に選択されたハイパーパラメーターを最適化する予定です。次のコードを作成して、ハイパーパラメータ実験のオプションを定義します


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: No
max_total_runs (50 here)
The maximum total number of runs to create. This is the upper bound; there may be fewer runs when the sample space is smaller than this value.
Box 2: Yes
Policy EarlyTerminationPolicy
The early termination policy to use. If None - the default, no early termination policy will be used.
Box 3: No
Discrete hyperparameters are specified as a choice among discrete values. choice can be:
one or more comma-separated values
* a range object
* any arbitrary list object
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.hyperdrive.hyperdriveconfig
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters

NEW QUESTION: 2
Which two resources and tools are available within the Cisco Meraki Partner Portal? (Choose two)
A. lead generation tools including custom referral links and templates to webinars
B. Cisco Meraki Support ticket/case management and live help
C. API developer files and virtual sandboxes for proof of concept testing
D. backup login page for the Cisco Meraki dashboard
E. registration for Cisco Meraki training series and previous webinar training recordings
Answer: A,E

NEW QUESTION: 3
Which settings can you define in a data transfer process(DTP)if you load data into a Datastore object (advanced)?
There are 3 correct answers to this question.
Response:
A. Semantic groups
B. Data tiering
C. Error handling
D. Activation Handling
E. Extraction Mode
Answer: A,C,E