DP-100日本語認定対策、Microsoft DP-100認定デベロッパー & Designing And Implementing A Data Science Solution On Azure - Omgzlook

あなたは高効率の復習とMicrosoftのDP-100日本語認定対策試験の成功を経験する必要があればいいです。MicrosoftのDP-100日本語認定対策試験に合格するのは早ければ速いほどIT業界で発展られたいあなたにとってはよいです。あなたはこの重要な試験を準備するのは時間とお金がかかると聞いたことがあるかもしれませんが、それは我々提供するMicrosoftのDP-100日本語認定対策ソフトを利用しなかったからです。 OmgzlookのMicrosoftのDP-100日本語認定対策試験トレーニング資料を持っていたら、試験に対する充分の準備がありますから、安心に利用したください。Omgzlookは優れたIT情報のソースを提供するサイトです。 IT業界での競争がますます激しくなるうちに、あなたの能力をどのように証明しますか。

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

Microsoft Azure DP-100日本語認定対策 - Designing and Implementing a Data Science Solution on Azure 我々の誠意を信じてください。 現在の社会で、DP-100 対応内容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 対応内容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日本語認定対策試験に合格する必要があります。MicrosoftのDP-100日本語認定対策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日本語認定対策試験に合格することができます。MicrosoftのDP-100日本語認定対策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日本語認定対策 - テストの時に有効なツルが必要でございます。

Omgzlook を選択して100%の合格率を確保することができて、もし試験に失敗したら、Omgzlookが全額で返金いたします。

何千何万の登録された部門のフィードバックによって、それに大量な突っ込んだ分析を通じて、我々はどのサプライヤーがお客様にもっと新しいかつ高品質のDP-100日本語認定対策資料を提供できるかを確かめる存在です。Omgzlook のMicrosoftのDP-100日本語認定対策トレーニング資料は絶え間なくアップデートされ、修正されていますから、MicrosoftのDP-100日本語認定対策試験のトレーニング経験を持っています。

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 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

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Updated: May 28, 2022