ちなみに、It-Passports DP-100の一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1tBJFRjR6zAWeXk-UPDa5sQ1iKUcTHkS3
第一に、当社は常に優秀なDP-100学習ガイドと卓越した技術で受験者にフィードバックし、最も専門的な試験教材を継続的に開発しています。第二に、当社のDP-100学習資料は、最新のサービス指向システムの作成に固執し、お客様の便宜のためにより優先的な活動を提供するよう努めています。最後になりましたが、以下のように、無料のデモがあります。次のように、どのDP-100試験資料デモをダウンロードして選択することができます。したがって、あなたは私たちのDP-100学習資料を愛するでしょう！
| Section | Objectives |
|---|---|
| Deploy and consume models | - Deploy models to endpoints - Monitor deployed models and endpoints |
| Explore and analyze data | - Ingest and prepare data for modeling - Perform exploratory data analysis |
| Train machine learning models | - Train models using Azure Machine Learning - Tune hyperparameters and evaluate models |
| Design and prepare a machine learning solution | - Plan and configure Azure Machine Learning workspace - Manage compute and data assets - Select appropriate Azure services for machine learning workloads |
| Optimize and manage models | - Improve model performance - Track experiments and manage model lifecycle |
何千人ものお客様がDP-100試験に合格し、関連する認定を取得しています。その後、DP-100試験トレントはすべて、当社のWebサイトで購入されました。業界の動向に加えて、DP-100テストガイドは、過去の多くの資料の厳密な分析によって書かれています。 DP-100学習教材の言語は理解しやすいものであり、厳密な学習を行った場合のみ、最新の専門的なDP-100学習教材を作成します。私たちはあなたに最高のサービスを提供し、あなたが満足できることを願っています。
質問 # 480
You are building an experiment using the Azure Machine Learning designer.
You split a dataset into training and testing sets. You select the Two-Class Boosted Decision Tree as the algorithm.
You need to determine the Area Under the Curve (AUC) of the model.
Which three modules should you use in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.
正解：
解説：
質問 # 481
You plan to use the Hyperdrive feature of Azure Machine Learning to determine the optimal hyperparameter values when training a model.
You must use Hyperdrive to try combinations of the following hyperparameter values:
* learning_rate: any value between 0.001 and 0.1
* batch_size: 16, 32, or 64
You need to configure the search space for the Hyperdrive experiment.
Which two parameter expressions should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
正解：B、E
質問 # 482
You manage an Azure Machine Learning workspace. You build automated machine learning training experiments for computer vision models.
You need to use a primary metric for model optimization and hyperparameter tuning for each model.
Which primary metrics should you use for the models? To answer, move the appropriate primary metrics to the correct computer vision models. You may use each primary metric once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 483
You are using the Hyperdrive feature in Azure Machine Learning to train a model.
You configure the Hyperdrive experiment by running the following code:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Yes
In random sampling, hyperparameter values are randomly selected from the defined search space. Random sampling allows the search space to include both discrete and continuous hyperparameters.
Box 2: Yes
learning_rate has a normal distribution with mean value 10 and a standard deviation of 3.
Box 3: No
keep_probability has a uniform distribution with a minimum value of 0.05 and a maximum value of 0.1.
Box 4: No
number_of_hidden_layers takes on one of the values [3, 4, 5].
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
質問 # 484
You create machine learning models by using Azure Machine Learning.
You plan to train and score models by using a variety of compute contexts. You also plan to create a new compute resource in Azure Machine Learning studio.
You need to select the appropriate compute types.
Which compute types should you select? To answer, drag the appropriate compute types to the correct requirements. Each compute type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Attached compute
Box 2: Inference cluster
Box 3: Training cluster
Box 4: Attached compute
質問 # 485
......
DP-100準備資料は、資格認定の優れた支援者となります。 一度だけ試験をクリアできるように、世界中で高品質な認定DP-100学習ガイドを提供することに集中しています。 DP-100信頼性の高い試験ブートキャンプ資料には、PDFバージョン、ソフトテストエンジン、APPテストエンジンの3つの形式が含まれているため、当社の製品はさまざまな受験者の習慣を満たし、実際のDP-100テストのほぼ完全な質問と回答をカバーします。
DP-100資格問題集: https://www.it-passports.com/DP-100.html
無料でクラウドストレージから最新のIt-Passports DP-100 PDFダンプをダウンロードする：https://drive.google.com/open?id=1tBJFRjR6zAWeXk-UPDa5sQ1iKUcTHkS3