試験の準備をするのにたくさんの時間を無駄にするより、そんな時間を利用してもっと有意義なことをしたほうがいいです。ですから、はやくShobhadoshiのサイトに行ってもっと多くの情報を読みましょう。この素晴らしきチャンスを逃したらきっと後悔しますよ。 あなたに向いていることを確かめてから買うのも遅くないですよ。あなたが決して後悔しないことを保証します。 Microsoftの試験はどうですか。
Shobhadoshiの試験トレーニング資料はMicrosoftのDP-100 - Designing and Implementing a Data Science Solution on Azure問題トレーリング認定試験の100パーセントの合格率を保証します。 君がうちの学習教材を購入した後、私たちは一年間で無料更新サービスを提供することができます。ShobhadoshiのMicrosoftのDP-100 関連合格問題試験トレーニング資料は試験問題と解答を含まれて、豊富な経験を持っているIT業種の専門家が長年の研究を通じて作成したものです。
Shobhadoshiで、あなたの試験のためのテクニックと勉強資料を見つけることができます。ShobhadoshiのMicrosoftのDP-100問題トレーリング試験トレーニング資料は豊富な知識と経験を持っているIT専門家に研究された成果で、正確度がとても高いです。Shobhadoshiに会ったら、最高のトレーニング資料を見つけました。
DP-100問題トレーリング認定試験に合格することは難しいようですね。試験を申し込みたいあなたは、いまどうやって試験に準備すべきなのかで悩んでいますか。そうだったら、下記のものを読んでください。いまDP-100問題トレーリング試験に合格するショートカットを教えてあげますから。あなたを試験に一発合格させる素晴らしいDP-100問題トレーリング試験に関連する参考書が登場しますよ。それはShobhadoshiのDP-100問題トレーリング問題集です。気楽に試験に合格したければ、はやく試しに来てください。
心配しないでください。私たちを見つけるのはあなたのMicrosoftのDP-100問題トレーリング試験に合格する保障からです。
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 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: 2
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: 3
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: 4
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/
QUESTION NO: 5
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 an Equal Width with Custom Start and Stop binning mode.
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
Splunk SPLK-1004 - ここには、私たちは君の需要に応じます。 あなたにMicrosoftのCompTIA DA0-002試験のソフトの更新情況を了解させます。 ShobhadoshiのMicrosoftのGoogle Generative-AI-Leader試験トレーニング資料は試験問題と解答を含まれて、豊富な経験を持っているIT業種の専門家が長年の研究を通じて作成したものです。 Cisco 300-220 - ここでは、あなたは一番質高い資料と行き届いたサービスを楽しみしています。 我々の目的はあなたにMicrosoftのSalesforce B2B-Solution-Architect試験に合格することだけです。
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:2025-06-13
問題と解答:全 479 問
Microsoft DP-100 入門知識
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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:2025-06-13
問題と解答:全 479 問
Microsoft DP-100 オンライン試験
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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:2025-06-13
問題と解答:全 479 問
Microsoft DP-100 試験対策書
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