Shobhadoshi是個為Microsoft DP-100考證認證考試提供短期有效培訓的網站。Microsoft DP-100考證 是個能對生活有改變的認證考試。拿到Microsoft DP-100考證 認證證書的IT人士肯定比沒有拿人員工資高，職位上升空間也很大，在IT行業中職業發展前景也更廣。 Shobhadoshi的產品是由很多的資深IT專家利用他們的豐富的知識和經驗針對IT相關認證考試研究出來的。所以你要是參加Microsoft DP-100考證 認證考試並且選擇我們的Shobhadoshi，Shobhadoshi不僅可以保證為你提供一份覆蓋面很廣和品質很好的考試資料來讓您做好準備來面對這個非常專業的考試，而且幫你順利通過Microsoft DP-100考證 認證考試拿到認證證書。 如果你沒有通過考試，Shobhadoshi會全額退款給你。

對於 Microsoft的DP-100考證考試認證每個考生都很迷茫。

我們Shobhadoshi的 Microsoft的DP-100 - Designing and Implementing a Data Science Solution on Azure考證的考題資料是按照相同的教學大綱來來研究的，同時也不斷升級我們的培訓材料，所以我們的考試培訓資料包括試題及答案，和實際的考試相似度非常高，所以形成了我們Shobhadoshi的通過率也是非常的高，這也是不可否認的事實， 由此知道Shobhadoshi Microsoft的DP-100 - Designing and Implementing a Data Science Solution on Azure考證考試培訓資料對考生的幫助，而且我們的價格絕對合理，適合每位IT認證的考生。 但是這並不代表不能獲得高分輕鬆通過考試。那麼，還不知道通過這個考試的捷徑在哪里的你，是不是想知道通過考試的技巧呢？現在我來告訴你，就是利用Shobhadoshi的DP-100 考題資源考古題。

應大家的要求，Shobhadoshi為參加DP-100考證考試的考生專門研發出了一種高效率的學習方法。大家都是一邊工作一邊準備考試，這樣很費心費力吧？為了避免你在準備考試時浪費太多的時間，Shobhadoshi為你提供了只需要經過很短時間的學習就可以通過考試的DP-100考證考古題。這個考古題包含了實際考試中一切可能出現的問題。

Microsoft DP-100考證 - 快將我們Shobhadoshi加入你的購車吧。

通過DP-100考證 考試不是很簡單的。通過DP-100考證考試需要高度專業的知識，如果你還欠缺這方面的知識，Shobhadoshi可以為你提供知識的來源。Shobhadoshi的專家團隊以他們的豐富的專業知識和經驗幫助你增長知識，並且給你能提供DP-100考證認證考試的相關練習題和答案。Shobhadoshi會盡全力幫助你一次性通過DP-100考證認證考試，並且還可以鞏固你的IT專業知識。選擇了Shobhadoshi不僅可以保證你100%通過DP-100考證認證考試，並且還會為你提供一年的免費的練習題和答案的更新服務。如果你考試不小心失敗了，我們保證立刻地100%全額退款給您。

Shobhadoshi是一家專業的，它專注于廣大考生最先進的Microsoft的DP-100考證考試認證資料，有了Shobhadoshi，Microsoft的DP-100考證考試認證就不用擔心考不過，Shobhadoshi提供的考題資料不僅品質過硬，而且服務優質，只要你選擇了Shobhadoshi，Shobhadoshi就能幫助你通過考試，並且讓你在短暫的時間裏達到高水準的效率，達到事半功倍的效果。

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
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
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: 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