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Microsoft DP-100日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Data Science Solution on Azure |
| Exam Number: | DP-100 |
| Passing Score: | 700 |
| Exam Duration: | 100 minutes |
| Exam Price: | $165 USD |
| Available Languages: | Japanese, Chinese (Simplified), Korean, Spanish, German, Italian, Indonesian (Indonesia), French, Russian, English, Arabic (Saudi Arabia), Portuguese (Brazil), Chinese (Traditional) |
| Real Exam Qty: | 40-60 |
| Exam Format: | Yes/No, Drag and drop, Case studies, Multiple choice, Multiple select |
| Certificate Validity Period: | 1 year |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure Data Engineer Associate |
| Recommended Training: | Microsoft Learn Learning Path Course DP-100T01-A: Designing and Implementing a Data Science Solution on Azure |
| Exam Registration: | Microsoft Learn Registration Pearson VUE Scheduling |
| Sample Questions: |  |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended knowledge: Azure fundamentals, Python programming, data science concepts, machine learning frameworks (Scikit-learn, PyTorch, Tensorflow) |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-100 |
Microsoft DP-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Optimize language models for AI applications | 25-30% | - Implement generative AI solutions
|
| Train and deploy models | 25-30% | - Train models
|
| Design and prepare a machine learning solution | 20-25% | - Design a machine learning solution
|
| Explore data and run experiments | 20-25% | - Implement pipelines
|
DP-100日本語 Exam FAQ: Products, Policy, and Prep
Three versions of the same study materials, each with its own character: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 528 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
No mandatory prerequisites; recommended knowledge: Azure fundamentals, Python programming, data science concepts, machine learning frameworks (Scikit-learn, PyTorch, Tensorflow) Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.
The official Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) outline defines 4 domains. The leading three are Train and deploy models (25-30%), Optimize language models for AI applications (25-30%), and Explore data and run experiments (20-25%). The full list is in the topics section above, and TorrentExam's 528 practice questions cover each one.
Microsoft recommends these training resources for the Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) exam:
- Course DP-100T01-A: Designing and Implementing a Data Science Solution on Azure
- Microsoft Learn Learning Path
Follow the training with steady self-testing — the 528 practice questions from TorrentExam help you apply theory and fill any gaps the training leaves.
The DP-100日本語 exam is a Microsoft certification exam validating the Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) syllabus shown above. It belongs to these credential paths: Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure AI Engineer Associate. Candidates in 2026 prepare for it with TorrentExam's 528 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
The Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) exam requires 700 to pass, and registration costs $165 USD. A failed attempt means paying the same fee again — a readiness check with the TorrentExam engines before booking is the cheaper option.
TorrentExam issues a full refund if you take the Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
Online proctored or onsite at Pearson VUE test centers Register for the Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) exam through these official channels:
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The Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) exam contains 40-60 to complete within 100 minutes. Timed simulation in the TorrentExam Desktop Test Engine teaches that rhythm before exam day does.
Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) Sample Questions:
Azure Machine Learning ワークスペースを作成します。
DataDriftDetector クラスを使用して、ベースライン データセットと後続のターゲット データセット間のデータ ドリフトを検出する必要があります。
コードセグメント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てください。
注意: 正しい選択ごとに 1 ポイントが付与されます。
Correct Answer:
Explanation:
Box 1: create_from_datasets
The create_from_datasets method creates a new DataDriftDetector object from a baseline tabular dataset and a target time series dataset.
Box 2: backfill
The backfill method runs a backfill job over a given specified start and end date.
Syntax: backfill(start_date, end_date, compute_target=None, create_compute_target=False) Reference:
https://docs.microsoft.com/en-us/python/api/azureml-datadrift/azureml.datadrift.datadriftdetector(class)
モデルの適合の問題を修正する必要があります。
順番に実行する必要がある 3 つのアクションはどれですか。回答するには、適切なアクションをアクション リストから回答領域に移動し、正しい順序に並べます。
Correct Answer:
Explanation:
Step 1: Augment the data
Scenario: Columns in each dataset contain missing and null values. The datasets also contain many outliers.
Step 2: Add the Bayesian Linear Regression module.
Scenario: You produce a regression model to predict property prices by using the Linear Regression and Bayesian Linear Regression modules.
Step 3: Configure the regularization weight.
Regularization typically is used to avoid overfitting. For example, in L2 regularization weight, type the value to use as the weight for L2 regularization. We recommend that you use a non-zero value to avoid overfitting.
Scenario:
Model fit: The model shows signs of overfitting. You need to produce a more refined regression model that reduces the overfitting.
注: この問題は、同じシナリオを提示する一連の問題の一部です。一連の問題にはそれぞれ、定められた目標を満たす可能性のある独自の解答が含まれています。問題セットによっては、複数の正解が存在する場合もあれば、正解がない場合もあります。
このセクションの質問に回答した後は、その質問に戻ることはできません。そのため、これらの質問はレビュー画面に表示されません。
Azure Machine Learning デザイナーを使用して、次のデータセットを実験に読み込みます。
入力データセットと同じ列とヘッダー行を持ち、両方の入力データセットのすべての行が含まれるデータセットを作成する必要があります。
解決策: Join Data モジュールを使用します。
ソリューションは目標を満たしていますか?
- A. はい
- B. いいえ
Correct Answer: B 🗳️
財務チームから、finance-data という名前の Azure Storage BLOB コンテナー内のデータを使用してモデルをトレーニングするように依頼されました。
コンテナーを Azure Machine Learning ワークスペースのデータストアとして登録し、コンテナーが存在しない場合にエラーが発生するようにする必要があります。
コードをどのように完成させるべきですか? 回答するには、回答エリアで適切なオプションを選択してください。
注意: 正しい選択ごとに 1 ポイントが付与されます。
Correct Answer:
Explanation:
Box 1: register_azure_blob_container
Register an Azure Blob Container to the datastore.
Box 2: create_if_not_exists = False
Create the file share if it does not exists, defaults to False.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.datastore.datastore
Azure Machine Learning SDK v2 for Pythonとノートブックを使用してモデルをトレーニングします。Pythonコードを使用して、コンピューティング先、環境、トレーニングスクリプトを作成します。トレーニングジョブを送信するための情報を準備する必要があります。どのクラスを使用すればよいですか？
- A. ビルドコンテキスト
- B. エンドポイント接続
- C. コマンド
- D. MLクライアント
Correct Answer: C 🗳️
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