Goldmile-Infobiz的產品不僅幫助客戶100%通過第一次參加的Microsoft DP-100試題 認證考試，而且還可以為客戶提供一年的免費線上更新服務，第一時間將最新的資料推送給客戶，讓客戶瞭解到最新的考試資訊。所以Goldmile-Infobiz不僅是個產品品質很好的網站，還是個售後服務很好的網站。 為了不讓成功與你失之交臂，趕緊行動吧。為了不讓你得生活留下遺憾和後悔，我們應該盡可能抓住一切改變生活的機會。 關於DP-100試題考試的問題，我們Goldmile-Infobiz擁有一個偉大的良好品質，將是最值得信賴的來源，從成千上萬的大量註冊部門的回饋，大量的深入分析，我們是在一個位置以確定哪些供應商將為你提供更新和相關DP-100試題練習題和優秀的高品質DP-100試題實踐的檢驗。
Microsoft Azure DP-100 这是经过很多人证明过的事实。
Microsoft Azure DP-100試題 - Designing and Implementing a Data Science Solution on Azure 人生充滿選擇，選擇不一定給你帶來絕對的幸福，但選擇給了你絕對的機會，而一旦錯過選擇，只能凝望。 這是一個被廣大考生檢驗過的網站，可以向大家提供最好的考試考古題。Goldmile-Infobiz全面保證考生們的利益，得到了大家的一致好評。
有了這個保證，你完全沒有必要再猶豫到底要不要買這個考古題了。错过了它将是你很大的损失。多年以來，Goldmile-Infobiz一直致力於為廣大參加IT認證考試的考生們提供最優秀並且最值得信賴的參考資料。
也有關於Microsoft Microsoft DP-100試題認證考試的考試練習題和答案。
作為IT認證考試學習資料的專業團隊，Goldmile-Infobiz是您獲得高品質學習資料的來源。無論您需要尋找什么樣子的Microsoft DP-100試題考古題我們都可以提供，借助我們的DP-100試題學習資料，您不必浪費時間去閱讀更多的參考書，只需花費20 – 30小時掌握我們的Microsoft DP-100試題題庫問題和答案，就可以順利通過考試。我們為您提供PDF版本的和軟件版，還有在線測試引擎題庫，其中DP-100試題軟件版本的題庫，可以模擬真實的考試環境，以滿足大家的需求，這是最優秀的DP-100試題學習資料。
Goldmile-Infobiz的產品是為你們參加Microsoft DP-100試題認證考試而準備的。Goldmile-Infobiz提供的培訓資料不僅包括與Microsoft DP-100試題認證考試相關的資訊技術培訓資料，來鞏固專業知識，而且還有準確性很高的關於Microsoft DP-100試題的認證考試的相關考試練習題和答案。
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 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: 3
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: 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
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
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Updated: May 28, 2022