購入した後、一年間の無料サービス更新を提供します。Microsoft DP-100練習問題問題集に合格しないなら、180日内で全額返金します。あるいは、他の科目の試験を変えていいです。 そして、私たちは十分な耐久力を持って、ずっとDP-100練習問題練習資料の研究に取り組んでいます。私たちのDP-100練習問題練習資料を利用したら、DP-100練習問題試験に合格した人がかなり多いです。 我々社のDP-100練習問題問題集を参考した後、ほっとしました。
Microsoft Azure DP-100 それに、あなたに極大な便利と快適をもたらせます。
そしてあなたにDP-100 - Designing and Implementing a Data Science Solution on Azure練習問題試験に関するテスト問題と解答が分析して差し上げるうちにあなたのIT専門知識を固めています。 近年、IT業種の発展はますます速くなることにつれて、ITを勉強する人は急激に多くなりました。人々は自分が将来何か成績を作るようにずっと努力しています。
多くの時間とお金がいらなくて２０時間だけあって楽に一回にMicrosoftのDP-100練習問題認定試験を合格できます。Goldmile-Infobizが提供したMicrosoftのDP-100練習問題試験問題と解答が真実の試験の練習問題と解答は最高の相似性があります。
Microsoft DP-100練習問題 - 人生には様々な選択があります。
MicrosoftのDP-100練習問題の認定試験の受験生は試験に合格することが難しいというのをよく知っています。しかし、試験に合格することが成功への唯一の道ですから、試験を受けることを選ばなければなりません。職業価値を高めるために、あなたは認定試験に合格する必要があります。Goldmile-Infobizが開発された試験の問題と解答は異なるターゲットに含まれていますし、カバー率が高いですから、それを超える書籍や資料が絶対ありません。大勢の人たちの利用結果によると、Goldmile-Infobizの合格率は１００パーセントに達したのですから、絶対あなたが試験を受かることに重要な助けになれます。Goldmile-Infobizは唯一のあなたの向いている試験に合格する方法で、Goldmile-Infobizを選んだら、美しい未来を選んだということになります。
このような保証があれば、Goldmile-InfobizのDP-100練習問題問題集を購入しようか購入するまいかと躊躇する必要は全くないです。この問題集をミスすればあなたの大きな損失ですよ。
DP-100 PDF DEMO:
QUESTION NO: 1
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: 2
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: 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