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Microsoft DP-100 Practice Test Questions, Microsoft DP-100 Exam Practice Test Questions

The Microsoft DP-100: Designing & Implementing a Data Science Solution on Azure exam evaluates the skills and knowledge of the professionals in a range of technical tasks. These include training models and running experiments, setting up an Azure ML workspace, consuming and deploying models, and managing & optimizing models. This test is the only qualifying exam that leads to the Microsoft Certified: Azure Data Scientist Associate certification.

Conclusion

Data science is a lucrative career option and you can explore it without any hassle if you’ve managed to taste success in the Microsoft DP-100 exam, which is known to create a skilled workforce of Azure data scientists. However, a great outcome in such a test will only come if the aspirant is referring to the updated and recent study resources like the official courses provided by the exam vendor itself.

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Microsoft DP-100: Career Prospects

After successfully passing the Microsoft DP-100 exam, you will obtain the Microsoft Certified: Azure Data Scientist Associate certification. Getting certified will allow you to qualify for several positions, including the following titles:

  • Administrative Analyst
  • Data Engineer
  • Software Developer
  • Data Analyst

Obtaining this certification is also beneficial from a financial point of view. In fact, the average salary that a certified professional can earn is $96,642 per year.

Microsoft DP-100: Exam Details

Microsoft doesn’t provide detailed information regarding its exams, including the DP-100 certification test. The total number of questions in exam is not published on the official website, but the candidates can expect to encounter about 40-60 items in their delivery of their test. There is also a high probability that they will face scenario-based questions with single-answer and multiple-answer options. The duration is all about 120 minutes. The exam is available in several languages, including Japanese, English, Simplified Chinese, and Korean.

The Microsoft DP-100 exam can be taken at any nearest Pearson VUE testing center or online as a proctored option. The cost for the exam is $165 in the United States but the price is usually different in other countries due to taxation. To find out the actual pricing for your country, simply check the official webpage.

Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx

Microsoft DP-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Design and prepare a machine learning solution20-25%- Prepare development environments
  • 1. Configure environments
  • 2. Use SDKs and notebooks
- Design an Azure Machine Learning workspace
  • 1. Configure workspace resources
  • 2. Manage compute resources
  • 3. Configure security and access
Prepare a model for deployment20-25%- Manage deployment assets
  • 1. Create inference configurations
  • 2. Register models
- Deploy machine learning models
  • 1. Deploy batch inference pipelines
  • 2. Deploy real-time inference endpoints
Explore data and train models35-40%- Optimize model performance
  • 1. Evaluate models
  • 2. Improve accuracy and performance
- Prepare data for modeling
  • 1. Manage datasets and datastores
  • 2. Ingest and transform data
- Run experiments and train models
  • 1. Use automated machine learning
  • 2. Perform hyperparameter tuning
  • 3. Track experiments
Deploy and retrain models10-15%- Implement retraining pipelines
  • 1. Manage ML pipelines
  • 2. Create scheduled retraining workflows
- Monitor deployed models
  • 1. Track data drift
  • 2. Monitor model performance

Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) Sample Questions:

AmICompute クラスターとバッチ エンドポイントを含む Azure Machine Learning ワークスペースがあります。
MLflow モデルを含むリポジトリをローカルコンピューターにクローンします。モデルをバッチエンドポイントにデプロイできることを確認する必要があります。
解決策: ワークスペースにデータ アセットを作成します。
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
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Azure Al Foundry プロジェクトのフローを開発します。
フローを実行して生成された出力を使用して、次の情報を決定する予定です。
* フロー内の各大規模言語モデル(LLM)ノードで使用されるトークンの数
* フローで使用されるモデルの精度
必要な情報を提供する出力を調べる必要があります。
どの出力タイプを調べるべきでしょうか?答えを見つけるには、適切な出力タイプを適切な評価に移動してください。各出力タイプは1回使用することも、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、ペイン間の分割バーを移動したり、スクロールしたりする必要がある場合があります。
注意: 正しい選択ごとに 1 ポイントが付与されます。

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

機械学習実験をトレーニングするためのコンピューティング ターゲットを作成しています。
コンピューティング ターゲットは、自動機械学習、機械学習パイプライン、および Azure Machine Learning デザイナー トレーニングをサポートする必要があります。
コンピューティング先を構成する必要があります
どのオプションを使用する必要がありますか?

  • A. Azure HDInsight
  • B. Azure Batch
  • C. Azure Machine Learning compute cluster
  • D. Remote VM
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Azure Machine Learning ワークスペースを管理しています。CSV ファイルを含むフォルダーがあり、このフォルダーはフォルダー データ アセットとして登録されています。このフォルダー データ アセットを、インタラクティブ開発におけるデータ ラングリングに使用する予定です。フォルダー データ アセットにアクセスし、Pandas データ フレームに読み込む必要があります。この目標を達成するには、どの方法を使用すればよいでしょうか。

  • A. mltable.from_delimited_files()
  • B. mltable.froB デルタレイク()
  • C. mltable.load()
  • D. mltable.froB_parquet_files()
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Azure Machine Learning ワークスペースがあります。
ワークスペースでモデルトレーニング用の自動ハイパーパラメータ調整を実装する予定です。
検索スペースからのハイパーパラメータの選択をランダム化しながらも検索結果を再現できるようにするスイープ ジョブ パラメータ サンプリング方法を選択する必要があります。
どのサンプリング方法を使用すればよいですか?

  • A. グリッド
  • B. ベイズ
  • C. ランダム
  • D. ソボル
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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