NewValidDumpsに会ったら、最高のトレーニング資料を見つけました。NewValidDumpsのMicrosoftのDP-100試験解説試験トレーニング資料を持っていたら、試験に対する充分の準備がありますから、安心に利用したください。NewValidDumpsは優れたIT情報のソースを提供するサイトです。 DP-100試験解説認定試験の問題集は大勢の人の注目を集め、とても人気がある商品です。DP-100試験解説認定試験の問題集はなぜそんなに人気がありますか？DP-100試験解説認定試験の問題集は最も全面的なIT知識を提供できるからです。 NewValidDumpsのDP-100試験解説問題集の合格率が100%に達することも数え切れない受験生に証明された事実です。

Microsoft Azure DP-100 君の初めての合格を目標にします。

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我々の誠意を信じてください。あなたが順調に試験に合格するように。時間とお金の集まりより正しい方法がもっと大切です。

Microsoft DP-100試験解説 - それも受験生たちが実践を通して証明したことです。

現在IT技術会社に通勤しているあなたは、MicrosoftのDP-100試験解説試験認定を取得しましたか？DP-100試験解説試験認定は給料の増加とジョブのプロモーションに役立ちます。短時間でDP-100試験解説試験に一発合格したいなら、我々社のMicrosoftのDP-100試験解説資料を参考しましょう。また、DP-100試験解説問題集に疑問があると、メールで問い合わせてください。

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DP-100 PDF DEMO:

QUESTION NO: 1
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

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
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: 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 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