これは全てのIT認証試験を受ける受験生のアドバイスです。Goldmile-Infobizのトレーニング資料を手に入れたら、あなたは成功への鍵を握るようになります。成功の楽園にどうやって行きますか。 ほかのたくさんの受験生は生活の中でのことに挑戦しています。だから、我々は受験生の皆さんに一番効果的なMicrosoftのDP-100赤本合格率復習方法を提供します。 優秀な試験参考書は話すことに依頼することでなく、受験生の皆さんに検証されることに依頼するのです。
Microsoft Azure DP-100 自分の幸せは自分で作るものだと思われます。
Microsoft Azure DP-100赤本合格率 - Designing and Implementing a Data Science Solution on Azure Goldmile-Infobizは全面的に受験生の利益を保証します。 もしあなたはMicrosoftのDP-100 日本語版復習指南試験に準備しているなら、弊社Goldmile-InfobizのDP-100 日本語版復習指南問題集を使ってください。現在、多くの外資系会社はMicrosoftのDP-100 日本語版復習指南試験認定を持つ職員に奨励を与えます。
Goldmile-InfobizのMicrosoftのDP-100赤本合格率試験トレーニング資料は正確性が高くて、カバー率も広い。あなたがMicrosoftのDP-100赤本合格率認定試験に合格するのに最も良くて、最も必要な学習教材です。うちのMicrosoftのDP-100赤本合格率問題集を購入したら、私たちは一年間で無料更新サービスを提供することができます。
Microsoft DP-100赤本合格率 - ふさわしい方式を選ぶのは一番重要なのです。
弊社のDP-100赤本合格率問題集のメリットはいろいろな面で記述できます。価格はちょっと高いですが、DP-100赤本合格率試験に最も有効な参考書です。DP-100赤本合格率問題集は便利で、どこでもいつでも勉強できます。また、時間を節約でき、短い時間で勉強したら、DP-100赤本合格率試験に参加できます。
世界は変化している、我々はできるだけそのペースを維持する必要があります。我々Goldmile-InfobizはMicrosoftのDP-100赤本合格率試験の変化を注目しています。
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 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: 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 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: 4
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: 5
You use Azure Machine Learning Studio to build a machine learning experiment.
You need to divide data into two distinct datasets.
Which module should you use?
A. Test Hypothesis Using t-Test
B. Group Data into Bins
C. Assign Data to Clusters
D. Partition and Sample
Answer: D
Explanation:
Partition and Sample with the Stratified split option outputs multiple datasets, partitioned using the rules you specified.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and- sample
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Updated: May 28, 2022