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Exam Details & Skills Measured
Microsoft DP-100 is an associate-level certification exam. It can be taken as a proctored test if this option is available in your country. If it’s not, you can sit for it as an online exam at one of the Pearson VUE testing centers across the world. You should check the official webpage for more information about scheduling this exam.
When you are ready for this test, you have to pay $165 as a registration fee, which applies to a single delivery of the exam. You can take it in English, Korean, Japanese, or Simplified Chinese. Microsoft DP-100 contains 40-60 questions that cover different types, such as drag and drop, multiple choice, active screen, build list, short answer, best answer, and case studies, among others. If you want to pass this test on the first try, you should get 720 points on a scale of 100-1000.
4. Models Deployment and Consumption (20-25%):
- Production computes targets creation: The test takers should perform their skills in compute options evaluation for deployment and consideration of security for deployed services.
- Designer pipeline publishing as a web service: The candidates should show their knowledge of target compute resources creation, inference pipelines configuration, and deployed endpoints consuming.
- Creation of pipelines for batch inferencing: This subject area covers your competence in running batch inferencing pipelines and obtaining outputs as well as publishing batch inferencing pipelines.
- Model-as-a-Service deployment: This subtopic will measure the individuals’ expertise in configuring deployment settings, troubleshooting issues with deployment containers, and consuming deployed services.
The benefit in Obtaining the DP-100 Exam Certification
- After completion of Microsoft Certified Azure Data Scientist Associate Certification candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.
- Candidates will get in-depth knowledge by completing the courses along with the access to revision materials for 6 months upon completion means they will have a wider skill set when it comes to the various technologies and systems than an uncertified professional. Certified Professional in this particular skill set is 74% more efficient when it comes to completing their tasks in a timely well-executed manner.
- Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.
- When Candidates applying for a job or looking to promotion in their current position, a Microsoft Certified Azure Data Scientist Associate certification in the field in which Candidates are applying will put you at the top of the list and make them a desirable candidate for employers.
- Becoming Microsoft Certified Azure Data Scientist Associate means one thing you are worth more to the company and therefore more to yourself in the form of an upgraded pay package. On average a Microsoft Certified Azure Data Scientist Associate member of staff is estimated to be worth 30% more to a company than their uncertified professionals.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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Microsoft DP-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design and prepare a machine learning solution | 20-25% | - Manage compute resources
|
| Train and deploy models | 25-30% | - Train models
|
| Optimize language models for AI applications | 25-30% | - Implement generative AI solutions
|
| Explore data and run experiments | 20-25% | - Explore and visualize data
|
Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100日本語版) Sample Questions:
次の Azure サブスクリプションと Azure Machine Learning サービス ワークスペースがあります。
ml-project ワークスペースへの参照を取得する必要があります。
解決策: 次の Python コードを実行します。
ソリューションは目標を満たしていますか?
- A. いいえ
- B. はい
Correct Answer: B 🗳️
注: この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自の解決策が含まれています。一部の質問セットには複数の正解がある場合もあれば、正解がない場合もあります。
このセクションの質問に答えた後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Azure Machine Learning を使用して、分類モデルをトレーニングする実験を実行しています。
Hyperdrive を使用して、モデルの AUC メトリックを最適化するパラメーターを見つけたいと考えています。次のコードを実行して、実験用に HyperDriveConfig を構成します。
この構成を使用して、ランダム フォレスト モデルをトレーニングし、それを検証データでテストするスクリプトを実行する予定です。検証データのラベル値は y_test 変数という名前の変数に保存され、モデルからの予測確率は y_predicted という名前の変数に保存されます。
Hyperdrive が AUC メトリックのハイパーパラメータを最適化できるようにするには、スクリプトにログを追加する必要があります。解決策: 次のコードを実行します。
ソリューションは目標を達成していますか?
- A. いいえ
- B. はい
Correct Answer: A 🗳️
Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).
Azure Machine Learning スタジオでノートブックを作成しています。
ノートブックから現在実行中のカーネルにパッケージをインストールする必要があります。インストールは現在実行中のカーネルのみに限定する必要があります。
パッケージをインストールする必要があります。
どのマジック関数を使うべきでしょうか?
- A. !conda
- B. !pjp
- C. %pip
- D. %load
Correct Answer: C 🗳️
train.py というPythonスクリプトを作成し、scriptsというフォルダに保存します。このスクリプトは、scikit-learnフレームワークを使用して機械学習モデルをトレーニングします。
スクリプトは、ローカル ワークステーション上で Azure Machine Learning 実験として実行する必要があります。
train.py スクリプトを実行する実験を開始するには、Python コードを記述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: source_directory
source_directory: A local directory containing code files needed for a run.
Box 2: script
Script: The file path relative to the source_directory of the script to be run.
Box 3: environment
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.scriptrunconfig
バイアスと分散の問題に対処するには、グローバル ペナルティ イベント モデルの入力を変更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:
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