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Shobhadoshi のMicrosoftのDP-100 - Designing and Implementing a Data Science Solution on Azureテストトレーニング「Designing and Implementing a Data Science Solution on Azure」練習問題集と解答は実践の検査に合格したソフトウェアで、最も受験生に合うトレーニングツールです。 ShobhadoshiのDP-100 基礎問題集教材を購入したら、あなたは一年間の無料アップデートサービスを取得しました。試験問題集が更新されると、Shobhadoshiは直ちにあなたのメールボックスにDP-100 基礎問題集問題集の最新版を送ります。
もしあなたが初心者だったら、または自分の知識や専門的なスキルを高めたいのなら、ShobhadoshiのMicrosoftのDP-100テストトレーニング問題集があなたを助けることができ、一歩一歩でその念願を実現することにヘルプを差し上げます。ShobhadoshiのMicrosoftのDP-100テストトレーニングは試験に関する全ての質問が解決して差し上げられます。それに一年間の無料更新サービスを提供しますから、Shobhadoshiのウェブサイトをご覧ください。
我々のMicrosoftのDP-100テストトレーニングソフトを利用してお客様の高通過率及び我々の技術の高いチームで、我々は自信を持って我々Shobhadoshiは専門的なのだと言えます。アフターサービスは会社を評価する重要な基準です。これをよくできるために、我々は全日24時間のサービスを提供します。MicrosoftのDP-100テストトレーニングソフトを購入してから一年間の無料更新サービスも提供します。試験に失敗したら、全額で返金する承諾があります。だから、MicrosoftのDP-100テストトレーニング試験に合格したいあなたは安心で弊社の商品を選べばいいんです。
それはより良く自分自身を向上させることができますから。もっと大切なのは、あなたもより多くの仕事のスキルをマスターしたことを証明することができます。
QUESTION NO: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are creating a new experiment in Azure Machine Learning Studio.
One class has a much smaller number of observations than the other classes in the training set.
You need to select an appropriate data sampling strategy to compensate for the class imbalance.
Solution: You use the Scale and Reduce sampling mode.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Instead use the Synthetic Minority Oversampling Technique (SMOTE) sampling mode.
Note: SMOTE is used to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
QUESTION NO: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are a data scientist using Azure Machine Learning Studio.
You need to normalize values to produce an output column into bins to predict a target column.
Solution: Apply a Quantiles normalization with a QuantileIndex normalization.
Does the solution meet the GOAL?
A. Yes
B. No
Answer: B
Explanation:
Use the Entropy MDL binning mode which has a target column.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data- into-bins
QUESTION NO: 3
You create a binary classification model by using Azure Machine Learning Studio.
You must tune hyperparameters by performing a parameter sweep of the model. The parameter sweep must meet the following requirements:
* iterate all possible combinations of hyperparameters
* minimize computing resources required to perform the sweep
* You need to perform a parameter sweep of the model.
Which parameter sweep mode should you use?
A. Sweep clustering
B. Entire grid
C. Random grid
D. Random seed
E. Random sweep
Answer: C
Explanation:
Maximum number of runs on random grid: This option also controls the number of iterations over a random sampling of parameter values, but the values are not generated randomly from the specified range; instead, a matrix is created of all possible combinations of parameter values and a random sampling is taken over the matrix. This method is more efficient and less prone to regional oversampling or undersampling.
If you are training a model that supports an integrated parameter sweep, you can also set a range of seed values to use and iterate over the random seeds as well. This is optional, but can be useful for avoiding bias introduced by seed selection.
Incorrect Answers:
B: If you are building a clustering model, use Sweep Clustering to automatically determine the optimum number of clusters and other parameters.
C: Entire grid: When you select this option, the module loops over a grid predefined by the system, to try different combinations and identify the best learner. This option is useful for cases where you don't know what the best parameter settings might be and want to try all possible combination of values.
E: If you choose a random sweep, you can specify how many times the model should be trained, using a random combination of parameter values.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/tune-model- hyperparameters
QUESTION NO: 4
You are performing feature engineering on a dataset.
You must add a feature named CityName and populate the column value with the text London.
You need to add the new feature to the dataset.
Which Azure Machine Learning Studio module should you use?
A. Preprocess Text
B. Edit Metadata
C. Execute Python Script
D. Latent Dirichlet Allocation
Answer: B
Explanation:
Typical metadata changes might include marking columns as features.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/edit-metadata
QUESTION NO: 5
You are developing a hands-on workshop to introduce Docker for Windows to attendees.
You need to ensure that workshop attendees can install Docker on their devices.
Which two prerequisite components should attendees install on the devices? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Windows 10 64-bit Professional
B. Kitematic
C. BIOS-enabled virtualization
D. VirtualBox
E. Microsoft Hardware-Assisted Virtualization Detection Tool
Answer: A,C
Explanation:
C: Make sure your Windows system supports Hardware Virtualization Technology and that virtualization is enabled.
Ensure that hardware virtualization support is turned on in the BIOS settings. For example:
E: To run Docker, your machine must have a 64-bit operating system running Windows 7 or higher.
References:
https://docs.docker.com/toolbox/toolbox_install_windows/
https://blogs.technet.microsoft.com/canitpro/2015/09/08/step-by-step-enabling-hyper-v-for-use- on-windows-10/
Microsoft GH-100 - 我々もオンライン版とソフト版を提供します。 Amazon SAA-C03-KR - どんなツールが最高なのかを知りたいですか。 我々ShobhadoshiはMicrosoftのMicrosoft SC-100J試験問題集をリリースする以降、多くのお客様の好評を博したのは弊社にとって、大変な名誉なことです。 はやくShobhadoshiのAmerican Society of Microbiology ABMM問題集を入手しましょう。 たとえば、ベストセラーのMicrosoft SAP C-TFG61-2405問題集は過去のデータを分析して作成ます。
Updated: May 28, 2022
試験コード:DP-100
試験名称:Designing and Implementing a Data Science Solution on Azure
最近更新時間:2025-06-12
問題と解答:全 479 問
Microsoft DP-100 日本語版復習資料
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試験コード:DP-100
試験名称:Designing and Implementing a Data Science Solution on Azure
最近更新時間:2025-06-12
問題と解答:全 479 問
Microsoft DP-100 認定テキスト
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試験コード:DP-100
試験名称:Designing and Implementing a Data Science Solution on Azure
最近更新時間:2025-06-12
問題と解答:全 479 問
Microsoft DP-100 日本語版参考資料
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