Shobhadoshi為考生提供真正有效的考試學習資料，充分利用我們的Microsoft DP-100測試引擎題庫問題和答案，可以節約您的時間和金錢。考生需要深入了解學習我們的DP-100測試引擎考古題，為獲得認證奠定堅實的基礎，您會發現這是真實有效的，全球的IT人員都在使用我們的DP-100測試引擎題庫資料。快來購買DP-100測試引擎考古題吧！如果您想要真正的考試模擬，那就選擇我們的DP-100測試引擎題庫在線測試引擎版本，支持多個設備安裝，還支持離線使用。 我們的Microsoft的DP-100測試引擎考試認證培訓資料包含試題及答案，這些資料是由我們資深的IT專家團隊通過自己的知識及不斷摸索的經驗而研究出來的，它的內容有包含真實的考試題，如果你要參加Microsoft的DP-100測試引擎考試認證，選擇Shobhadoshi是無庸置疑的選擇。我們Shobhadoshi網站是個歷史悠久的Microsoft的DP-100測試引擎考試認證培訓資料網站。 作為一名專業的IT人員，如何證明自己的能力，加強自己在公司的地位，獲得Microsoft DP-100測試引擎認證可以提高你的IT技能，以獲得更好的工作機會。

Microsoft Azure DP-100 來吧，你將是未來最棒的IT專家。

Microsoft Azure DP-100測試引擎 - Designing and Implementing a Data Science Solution on Azure 我們的方案是可以100%保證你通過考試的，並且還為你提供一年的免費更新服務。 一生輾轉千萬裏，莫問成敗重幾許，得之坦然，失之淡然，與其在別人的輝煌裏仰望，不如親手點亮自己的心燈，揚帆遠航。Shobhadoshi Microsoft的最新 DP-100 考題考試培訓資料將是你成就輝煌的第一步，有了它，你一定會通過眾多人都覺得艱難無比的Microsoft的最新 DP-100 考題考試認證，獲得了這個認證，你就可以在你人生中點亮你的心燈，開始你新的旅程，展翅翱翔，成就輝煌人生。

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Microsoft DP-100測試引擎 - 這是通過考試最快的捷徑了。

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你已經取得了這個重要的認證資格嗎？比如，你已經參加了現在參加人數最多的DP-100測試引擎考試了嗎？如果還沒有的話，你應該儘快採取行動了。你必須要拿到如此重要的認證資格。

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