Goldmile-Infobizの MicrosoftのDP-100対応資料試験トレーニング資料はGoldmile-Infobizの実力と豊富な経験を持っているIT専門家が研究したもので、本物のMicrosoftのDP-100対応資料試験問題とほぼ同じです。それを利用したら、君のMicrosoftのDP-100対応資料認定試験に合格するのは問題ありません。もしGoldmile-Infobizの学習教材を購入した後、どんな問題があれば、或いは試験に不合格になる場合は、私たちが全額返金することを保証いたします。 夢を持ったら実現するために頑張ってください。「信仰は偉大な感情で、創造の力になれます。 ふさわしい方式を選ぶのは一番重要なのです。
Microsoft Azure DP-100 こうして、君は安心で試験の準備を行ってください。
あなたはMicrosoftのDP-100 - Designing and Implementing a Data Science Solution on Azure対応資料試験に失敗したら、弊社は原因に関わらずあなたの経済の損失を減少するためにもらった費用を全額で返しています。 Goldmile-Infobizが提供したMicrosoftのDP-100 技術問題「Designing and Implementing a Data Science Solution on Azure」試験問題と解答が真実の試験の練習問題と解答は最高の相似性があり、一年の無料オンラインの更新のサービスがあり、100%のパス率を保証して、もし試験に合格しないと、弊社は全額で返金いたします。
なぜ我々のMicrosoftのDP-100対応資料ソフトに自信があるかと聞かれたら、まずは我々Goldmile-Infobizの豊富な経験があるチームです、次は弊社の商品を利用してMicrosoftのDP-100対応資料試験に合格する多くのお客様です。MicrosoftのDP-100対応資料試験は国際的に認められてあなたはこの認証がほしいですか。弊社のMicrosoftのDP-100対応資料試験のソフトを通して、あなたはリラクスで得られます。
Microsoft DP-100対応資料 - Goldmile-Infobizというサイトです。
我々Goldmile-InfobizはMicrosoftのDP-100対応資料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。また、我々はさらに認可を受けられるために、皆様の一切の要求を満足できて喜ぶ気持ちでずっと協力し、完備かつ精確のDP-100対応資料試験問題集を開発するのに準備します。
現在、書籍の以外にインターネットは知識の宝庫として見られています。Goldmile-Infobiz で、あなたにあなたの宝庫を見つけられます。
DP-100 PDF DEMO:
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 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
今はMicrosoft Cisco 200-301J試験に準備するために、分厚い本を購買しなくてあまりにも多くのお金をかかるトレーニング機構に参加する必要がありません。 Splunk SPLK-2002 - もちろんです。 Microsoft Microsoft AB-900試験の困難度なので、試験の準備をやめます。 HP HPE7-A01 - 現在の仕事に満足していますか。 だから、我々社のIT専門家は長年にわたりMicrosoft Huawei H25-522_V1.0認定資格試験問題集作成に取り組んで、有効なHuawei H25-522_V1.0試験問題集を書きました。
Updated: May 28, 2022