DP-100入門知識、Microsoft DP-100関連資料 - Designing And Implementing A Data Science Solution On Azure - Omgzlook

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Microsoft Azure DP-100 そうだったら、下記のものを読んでください。

Microsoft Azure DP-100入門知識 - Designing and Implementing a Data Science Solution on Azure 無料な部分ダウンロードしてください。 Omgzlookは君にとってベストな選択になります。ここには、私たちは君の需要に応じます。

MicrosoftのDP-100入門知識認証試験は世界でどの国でも承認されて、すべての国が分け隔てをしないの試験です。Omgzlook のMicrosoftのDP-100入門知識認証証明書はあなたが自分の知識と技能を高めることに助けになれることだけでなく、さまざまな条件であなたのキャリアを助けることもできます。Omgzlook のMicrosoftのDP-100入門知識問題集を利用することをお勧めいたします。

Microsoft DP-100入門知識 - 彼らの給料は言うまでもなく高いです。

自分のIT業界での発展を希望したら、MicrosoftのDP-100入門知識試験に合格する必要があります。MicrosoftのDP-100入門知識試験はいくつ難しくても文句を言わないで、我々Omgzlookの提供する資料を通して、あなたはMicrosoftのDP-100入門知識試験に合格することができます。MicrosoftのDP-100入門知識試験を準備しているあなたに試験に合格させるために、我々Omgzlookは模擬試験ソフトを更新し続けています。

この認証がどんなに重要するかあなたもよく知っています。試験に合格できないなんて心配しないで、あなたの能力を疑わないでください。

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/

IBM C1000-174 - 心はもはや空しくなく、生活を美しくなります。 MicrosoftのJuniper JN0-460認定試験はIT職員が欠くことができない認証です。 また、SAP C-ARSUM-2404問題集に疑問があると、メールで問い合わせてください。 CompTIA 220-1101J - IT認定試験は現在の社会で、特にIT業界で最も人気のある試験だと考えられています。 だから、我々社は力の限りで弊社のMicrosoft EMC D-SF-A-24試験資料を改善し、改革の変更に応じて更新します。

Updated: May 28, 2022