君はオンラインで無料な練習問題をダウンロードできて、１００％で試験に合格しましょう。NewValidDumpsはIT試験問題集を提供するウエブダイトで、ここによく分かります。最もよくて最新で資料を提供いたします。 それに、うちの学習教材を購入したら、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。NewValidDumpsのサイトは長い歴史を持っていて、MicrosoftのDP-100試験解説認定試験の学習教材を提供するサイトです。 Microsoft DP-100試験解説「Designing and Implementing a Data Science Solution on Azure」認証試験に合格することが簡単ではなくて、Microsoft DP-100試験解説証明書は君にとってはIT業界に入るの一つの手づるになるかもしれません。

Microsoft Azure DP-100 」とゴーリキーは述べました。

弊社のDP-100 - Designing and Implementing a Data Science Solution on Azure試験解説試験問題集によって、あなたの心と精神の満足度を向上させながら、勉強した後DP-100 - Designing and Implementing a Data Science Solution on Azure試験解説試験資格認定書を受け取って努力する人生はすばらしいことであると認識られます。 最近、MicrosoftのDP-100 テスト難易度試験は非常に人気のある認定試験です。あなたもこの試験の認定資格を取得したいのですか。

Microsoft　DP-100試験解説試験問題集を購買してから、一年間の無料更新を楽しみにしています。あなたにMicrosoft　DP-100試験解説試験に関する最新かつ最完備の資料を勉強させ、試験に合格させることだと信じます。もしあなたはDP-100試験解説試験に合格しなかったら、全額返金のことを承諾します。

Microsoft DP-100試験解説 - もちろんありますよ。

Microsoft　DP-100試験解説認定資格試験が難しいので、弊社のDP-100試験解説問題集はあなたに適当する認定資格試験問題集を見つけるし、本当の試験問題の難しさを克服することができます。弊社はMicrosoft　DP-100試験解説認定試験の最新要求に従って関心を持って、全面的かつ高品質な模擬試験問題集を提供します。また、購入する前に、無料でDP-100試験解説のPDF版デモをダウンロードでき、信頼性を確認することができます。

君がMicrosoftのDP-100試験解説問題集を購入したら、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。もしMicrosoftのDP-100試験解説問題集は問題があれば、或いは試験に不合格になる場合は、全額返金することを保証いたします。

DP-100 PDF DEMO:

QUESTION NO: 1
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: 2
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: 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
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

QUESTION NO: 5
You use Azure Machine Learning Studio to build a machine learning experiment.
You need to divide data into two distinct datasets.
Which module should you use?
A. Test Hypothesis Using t-Test
B. Group Data into Bins
C. Assign Data to Clusters
D. Partition and Sample
Answer: D
Explanation:
Partition and Sample with the Stratified split option outputs multiple datasets, partitioned using the rules you specified.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and- sample

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Updated: May 28, 2022