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専門的な知識が必要で、もしあなたはまだこの方面の知識を欠かれば、Royalholidayclubbedは君に向ける知識を提供いたします。Royalholidayclubbedの専門家チームは彼らの知識や経験を利用してあなたの知識を広めることを助けています。そしてあなたにDP-100赤本合格率試験に関するテスト問題と解答が分析して差し上げるうちにあなたのIT専門知識を固めています。 Royalholidayclubbedはあなたの夢に実現させるサイトでございます。どんな業界で自分に良い昇進機会があると希望する職人がとても多いと思って、IT業界にも例外ではありません。 MicrosoftのDP-100赤本合格率認定試験はRoyalholidayclubbedの最優秀な専門家チームが自分の知識と業界の経験を利用してどんどん研究した、満足Microsoft認証受験生の需要に満たすの書籍がほかのサイトにも見えますが、Royalholidayclubbedの商品が最も保障があって、君の最良の選択になります。
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MicrosoftのDP-100赤本合格率認定試験に受かるのはあなたの技能を検証することだけでなく、あなたの専門知識を証明できて、上司は無駄にあなたを雇うことはしないことの証明書です。当面、IT業界でMicrosoftのDP-100赤本合格率認定試験の信頼できるソースが必要です。Royalholidayclubbedはとても良い選択で、DP-100赤本合格率の試験を最も短い時間に縮められますから、あなたの費用とエネルギーを節約することができます。
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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 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: 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
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