OmgzlookのMicrosoftのDP-100真実試験試験問題資料は質が良くて値段が安い製品です。我々は低い価格と高品質の模擬問題で受験生の皆様に捧げています。我々は心からあなたが首尾よく試験に合格することを願っています。 どちらを受験したいですか。ここで言いたいのはDP-100真実試験試験です。 優れたキャリアを持ったら、社会と国のために色々な利益を作ることができて、国の経済が継続的に発展していることを進められるようになります。
Microsoft Azure DP-100 では、どうしたらいいでしょうか。
Microsoft Azure DP-100真実試験 - Designing and Implementing a Data Science Solution on Azure その夢は私にとってはるか遠いです。 はMicrosoftのDP-100 無料試験試験に合格するのに、私たちは最も早い時間で合格するのを追求します。
さて、はやく試験を申し込みましょう。Omgzlookはあなたを助けることができますから、心配する必要がないですよ。あなたの夢は何ですか。
Microsoft DP-100真実試験 - 試験に失敗したら、全額で返金する承諾があります。
高質のMicrosoft試験資料を持って、短い時間で気軽に試験に合格したいですか？そうしたら、我が社OmgzlookのDP-100真実試験問題集をご覧にください。我々DP-100真実試験資料はIT認定試験の改革に準じて更新していますから、お客様は改革での問題変更に心配するは全然ありません。お客様か購入する前、我が社OmgzlookのDP-100真実試験問題集の見本を無料にダウンロードできます。
暇な時間だけでMicrosoftのDP-100真実試験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真実試験試験の資料はあなたにいつでもどこでも読めさせます。
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/
たくさんの品質高く問題集を取り除き、我々OmgzlookのCisco 300-430問題集を選らんでくださいませんか。 我々OmgzlookはMicrosoftのCompTIA N10-008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。 競争力が激しい社会に当たり、我々Omgzlookは多くの受験生の中で大人気があるのは受験生の立場からMicrosoft IBM C1000-101-KR試験資料をリリースすることです。 たとえば、ベストセラーのMicrosoft Nutanix NCP-CI-Azure問題集は過去のデータを分析して作成ます。 Salesforce MuleSoft-Integration-Architect-I - 躊躇わなく、行動しましょう。
Updated: May 28, 2022