DP-100日本語版復習指南、DP-100ダウンロード - Microsoft DP-100受験料過去問 - Omgzlook

ここには、私たちは君の需要に応じます。OmgzlookのMicrosoftのDP-100日本語版復習指南問題集を購入したら、私たちは君のために、一年間無料で更新サービスを提供することができます。もし不合格になったら、私たちは全額返金することを保証します。 この問題集は絶対あなたがずっと探しているものです。これは受験生の皆さんのために特別に作成し出された試験参考書です。 うちのMicrosoftのDP-100日本語版復習指南試験トレーニング資料を購入する前に、Omgzlookのサイトで、一部分のフリーな試験問題と解答をダンロードでき、試用してみます。

Microsoft Azure DP-100 我々の誠意を信じてください。

あなたはうちのMicrosoftのDP-100 - Designing and Implementing a Data Science Solution on Azure日本語版復習指南問題集を購入する前に、一部分のフリーな試験問題と解答をダンロードして、試用してみることができます。 自分のIT業界での発展を希望したら、MicrosoftのDP-100 認定資格試験試験に合格する必要があります。MicrosoftのDP-100 認定資格試験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 認定資格試験試験に合格することができます。

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Microsoft DP-100日本語版復習指南 - 早速買いに行きましょう。

あなたは無料でDP-100日本語版復習指南復習教材をダウンロードしたいですか?もちろん、回答ははいです。だから、あなたはコンピューターでMicrosoftのウエブサイトを訪問してください。そうすれば、あなたは簡単にDP-100日本語版復習指南復習教材のデモを無料でダウンロードできます。そして、あなたはDP-100日本語版復習指南復習教材の三種類のデモをダウンロードできます。

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DP-100 PDF DEMO:

QUESTION NO: 1
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: 2
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: 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 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: 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