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隨著社會的發展,現在IT行業得到了人們的青睞,也有越來越多的人們想考取IT方面的資格認證證書,在事業上更進一步。這個時候你應該想到的是Royalholidayclubbed網站,它是你考試合格的好幫手。Royalholidayclubbed的強大考古題是IT技術專家們多年來總結出來的經驗和結果,站在這些前人的肩膀上,會讓你離成功更進一步。 我們的IT精英團隊的力量會讓你難以置信。你可以先嘗試我們Royalholidayclubbed為你們提供的免費下載關於Microsoft DP-100認證考試解析認證考試的部分考題及答案來測我們的可靠性。 如果使用我們的DP-100認證考試解析考古題沒有通過考試,我們將無條件的退款。
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DP-100 PDF DEMO:QUESTION NO: 1 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
QUESTION NO: 2 You are developing a machine learning, experiment by using Azure. The following images show the input and output of a machine learning experiment: Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic. NOTE: Each correct selection is worth one point. Answer:
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 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 You need to define a modeling strategy for ad response. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Answer: Explanation: Step 1: Implement a K-Means Clustering model Step 2: Use the cluster as a feature in a Decision jungle model. Decision jungles are non-parametric models, which can represent non-linear decision boundaries. Step 3: Use the raw score as a feature in a Score Matchbox Recommender model The goal of creating a recommendation system is to recommend one or more "items" to "users" of the system. Examples of an item could be a movie, restaurant, book, or song. A user could be a person, group of persons, or other entity with item preferences. Scenario: Ad response rated declined. Ad response models must be trained at the beginning of each event and applied during the sporting event. Market segmentation models must optimize for similar ad response history. Ad response models must support non-linear boundaries of features. References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/multiclass- decision-jungle https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/score- matchbox-recommender
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Updated: May 28, 2022
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