DP-100日本語資格取得 & Microsoft Designing And Implementing A Data Science Solution On Azure赤本勉強 - Omgzlook

これは試験の準備をするために非常に効率的なツールですから。この問題集はあなたが少ない労力で最高の結果を取得することができます。OmgzlookはIT認定試験を受験した多くの人々を助けました。 早めによりよい仕事を探しできて、長閑な万元以上の月給がある生活を楽しみます。大方の人は成功への近道がないとよく言われますけど、IT人材にとって、私達のDP-100日本語資格取得問題集はあなたの成功へショートカットです。 DP-100日本語資格取得認定試験に合格することは難しいようですね。

Microsoft Azure DP-100 暇の時間を利用して勉強します。

Microsoft Azure DP-100日本語資格取得 - Designing and Implementing a Data Science Solution on Azure 時間とお金の集まりより正しい方法がもっと大切です。 現在の社会で、DP-100 試験対策試験に参加する人がますます多くなる傾向があります。市場の巨大な練習材料からDP-100 試験対策の学習教材を手に入れようとする人も増えています。

自分のIT業界での発展を希望したら、MicrosoftのDP-100日本語資格取得試験に合格する必要があります。MicrosoftのDP-100日本語資格取得試験はいくつ難しくても文句を言わないで、我々Omgzlookの提供する資料を通して、あなたはMicrosoftのDP-100日本語資格取得試験に合格することができます。MicrosoftのDP-100日本語資格取得試験を準備しているあなたに試験に合格させるために、我々Omgzlookは模擬試験ソフトを更新し続けています。

Microsoft DP-100日本語資格取得 - どんなツールかと聞きたいでしょう。

OmgzlookのDP-100日本語資格取得問題集は多くの受験生に検証されたものですから、高い成功率を保証できます。もしこの問題集を利用してからやはり試験に不合格になってしまえば、Omgzlookは全額で返金することができます。あるいは、無料で試験DP-100日本語資格取得問題集を更新してあげるのを選択することもできます。こんな保障がありますから、心配する必要は全然ないですよ。

OmgzlookはMicrosoftのDP-100日本語資格取得試験の最新の問題集を提供するの専門的なサイトです。MicrosoftのDP-100日本語資格取得問題集はDP-100日本語資格取得に関する問題をほとんど含まれます。

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 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 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: 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
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

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Updated: May 28, 2022