DP-100模擬資料、Microsoft DP-100オンライン試験 - Designing And Implementing A Data Science Solution On Azure - Omgzlook

そうしたら、Microsoft DP-100模擬資料試験はそんなに簡単なことだと知られます。Microsoft DP-100模擬資料試験を難しく感じる人に「やってもいないのに、できないと言わないこと」を言いたいです。我々OmgzlookへのMicrosoft DP-100模擬資料試験問題集は専業化のチームが長時間で過去のデータから分析研究された成果で、あなたを試験に迅速的に合格できるのを助けます。 Omgzlookはあなたが必要とするすべてのDP-100模擬資料参考資料を持っていますから、きっとあなたのニーズを満たすことができます。Omgzlookのウェブサイトに行ってもっとたくさんの情報をブラウズして、あなたがほしい試験DP-100模擬資料参考書を見つけてください。 弊社はMicrosoft DP-100模擬資料認定試験の最新要求に従って関心を持って、全面的かつ高品質な模擬試験問題集を提供します。

Microsoft Azure DP-100 今はそのようにしていますか。

Microsoft Azure DP-100模擬資料 - Designing and Implementing a Data Science Solution on Azure IT認証は同業種の欠くことができないものになりました。 それはOmgzlookはたしかに受験生の皆さんを大量な時間を節約させ、順調に試験に合格させることができますから。OmgzlookのDP-100 試験時間問題集というものをきっと聞いたことがあるでしょう。

Omgzlookに会ったら、最高のトレーニング資料を見つけました。OmgzlookのMicrosoftのDP-100模擬資料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。

Microsoft DP-100模擬資料 - 我々の誠意を信じてください。

暇な時間だけでMicrosoftのDP-100模擬資料試験に合格したいのですか。我々の提供するPDF版のMicrosoftのDP-100模擬資料試験の資料はあなたにいつでもどこでも読めさせます。我々もオンライン版とソフト版を提供します。すべては豊富な内容があって各自のメリットを持っています。あなたは各バーションのMicrosoftのDP-100模擬資料試験の資料をダウンロードしてみることができ、あなたに一番ふさわしいバーションを見つけることができます。

自分のIT業界での発展を希望したら、MicrosoftのDP-100模擬資料試験に合格する必要があります。MicrosoftのDP-100模擬資料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模擬資料試験に合格することができます。

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 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

QUESTION NO: 2
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: 3
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: 4
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: 5
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/

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Updated: May 28, 2022