ShobhadoshiのMicrosoftのDP-100模擬体験試験問題資料は質が良くて値段が安い製品です。我々は低い価格と高品質の模擬問題で受験生の皆様に捧げています。我々は心からあなたが首尾よく試験に合格することを願っています。 IT職員の一員として、目前のMicrosoftのDP-100模擬体験試験情報を明らかに了解できますか？もし了解しなかったら、心配する必要がありません。我々社Shobhadoshiは試験政策の変化に応じて、MicrosoftのDP-100模擬体験問題集をタイムリーに更新しています。 ShobhadoshiのMicrosoftのDP-100模擬体験試験トレーニング資料はIT人員の皆さんがそんな目標を達成できるようにヘルプを提供して差し上げます。

Microsoft Azure DP-100 私の夢は最高のIT専門家になることです。

短時間で一度に本当の認定試験に高いポイントを取得したいなら、我々ShobhadoshiのMicrosoft　DP-100 - Designing and Implementing a Data Science Solution on Azure模擬体験日本語対策問題集は絶対にあなたへの最善なオプションです。 あなたの夢は何ですか。あなたのキャリアでいくつかの輝かしい業績を行うことを望まないのですか。

そうすれば、わかりやすく、覚えやすいです。弊社の DP-100模擬体験参考資料は実践に基づいて、専門的な知識の蓄積です。だから、DP-100模擬体験試験のために、弊社の商品を選ばれば、後悔することがないです。

Microsoft DP-100模擬体験 - Shobhadoshiを選られば、成功しましょう。

ShobhadoshiのMicrosoftのDP-100模擬体験試験トレーニング資料は豊富な経験を持っているIT専門家が研究したものです。君がMicrosoftのDP-100模擬体験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模擬体験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。

君はまずネットで無料な部分のMicrosoft認証試験をダウンロードして現場の試験の雰囲気を感じて試験に上手になりますよ。MicrosoftのDP-100模擬体験認証試験に失敗したら弊社は全額で返金するのを保証いたします。

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
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: 4
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: 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