我々は販売者とお客様の間の信頼が重要でもらい難いのを知っています。我々はMicrosoftのDP-100合格率ソフトであなたに専門と高効率を示して、最全面的な問題集と詳しい分析であなたに助けてMicrosoftのDP-100合格率試験に合格して、最高のサービスであなたの信頼を得ています。あなたが試験に合格するのは我々への一番よい評価です。 試験が更新されているうちに、我々はMicrosoftのDP-100合格率試験の資料を更新し続けています。できるだけ100％の通過率を保証使用にしています。 その中の一部は暇な時間だけでMicrosoftのDP-100合格率試験を準備します。

Microsoft Azure DP-100 自分の幸せは自分で作るものだと思われます。

あなたに安心にMicrosoftのDP-100 - Designing and Implementing a Data Science Solution on Azure合格率ソフトを購入させるために、我々は最も安全的な支払手段を提供します。 あなたは弊社の高品質Microsoft　DP-100 学習体験談試験資料を利用して、一回に試験に合格します。NewValidDumpsのMicrosoft　DP-100 学習体験談問題集は専門家たちが数年間で過去のデータから分析して作成されて、試験にカバーする範囲は広くて、受験生の皆様のお金と時間を節約します。

弊社のDP-100合格率真題を入手して、試験に合格する可能性が大きくなります。社会と経済の発展につれて、多くの人はIT技術を勉強します。なぜならば、IT職員にとって、MicrosoftのDP-100合格率資格証明書があるのは肝心な指標であると言えます。

Microsoft DP-100合格率 - 暇の時間を利用して勉強します。

DP-100合格率資格認定は重要な課題になっていて、この資格認定書を所有している人は会社に得られる給料が高いです。我々DP-100合格率問題集を利用し、試験に参加しましょう。試験に成功したら、あなたの知識と能力を証明することができます。あなたはこれらのDP-100合格率資格認定を持つ人々の一員になれると、いい仕事を探させます。

そして、DP-100合格率試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。DP-100合格率試験参考書があれば,ほかの試験参考書を勉強する必要がないです。

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