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それはOmgzlookのDP-100資格トレーニング問題集です。
もしあなたはまだ合格のためにMicrosoft DP-100 - Designing and Implementing a Data Science Solution on Azure資格トレーニングに大量の貴重な時間とエネルギーをかかって一生懸命準備し、Microsoft DP-100 - Designing and Implementing a Data Science Solution on Azure資格トレーニング「Designing and Implementing a Data Science Solution on Azure」認証試験に合格するの近道が分からなくって、今はOmgzlookが有効なMicrosoft DP-100 - Designing and Implementing a Data Science Solution on Azure資格トレーニング認定試験の合格の方法を提供して、君は半分の労力で倍の成果を取るの与えています。 一回だけでMicrosoftのDP-100 資格取得試験に合格したい？Omgzlookは君の欲求を満たすために存在するのです。Omgzlookは君にとってベストな選択になります。
MicrosoftのDP-100資格トレーニング試験に合格することは容易なことではなくて、良い訓練ツールは成功の保証でOmgzlookは君の試験の問題を準備してしまいました。君の初めての合格を目標にします。
Microsoft DP-100資格トレーニング - 我々の誠意を信じてください。
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DP-100 PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 4
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: 5
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
Lpi 300-300J - それは確かに君の試験に役に立つとみられます。 あなたは自分の望ましいMicrosoft Network Appliance NS0-014問題集を選らんで、学びから更なる成長を求められます。 EMC D-VXR-DY-01 - が、サイトに相関する依頼できる保証が何一つありません。 短時間でSAP C_S4TM_2023試験に一発合格したいなら、我々社のMicrosoftのSAP C_S4TM_2023資料を参考しましょう。 MicrosoftのMicrosoft MB-260試験はOmgzlookの保証を検証することができ、１００パーセントの合格率に達することができます。
Updated: May 28, 2022