Goldmile-InfobizのMicrosoftのDP-100日本語版トレーリング試験トレーニング資料は豊富な経験を持っているIT専門家が研究したものです。君がMicrosoftのDP-100日本語版トレーリング問題集を購入したら、私たちは一年間で無料更新サービスを提供することができます。もしMicrosoftのDP-100日本語版トレーリング問題集は問題があれば、或いは試験に不合格になる場合は、全額返金することを保証いたします。 今競争の激しいIT業界で地位を固めたいですが、Microsoft DP-100日本語版トレーリング認証試験に合格しなければなりません。IT業界ではさらに強くなるために強い専門知識が必要です。 Goldmile-Infobizを選んだら、君が一回でMicrosoftのDP-100日本語版トレーリング認定試験に合格するのを保証します。
Microsoft Azure DP-100 我々の商品にあなたを助けさせましょう。
MicrosoftのDP-100 - Designing and Implementing a Data Science Solution on Azure日本語版トレーリング認証試験を選んだ人々が一層多くなります。 弊社のDP-100 学習範囲問題集は大勢の専門家たちの努力で開発される成果です。初心者といい、数年IT仕事を従事した人といい、我々Goldmile-InfobizのMicrosoft DP-100 学習範囲問題集は最良の選択であると考えられます。
それにGoldmile-Infobizは１００パーセント合格率を保証します。あなたが任意の損失がないようにもし試験に合格しなければGoldmile-Infobizは全額で返金できます。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。
Microsoft DP-100日本語版トレーリング - だから、私たちは信頼されるに値します。
DP-100日本語版トレーリング認定試験はたいへん難しい試験ですね。しかし、難しい試験といっても、試験を申し込んで受験する人が多くいます。なぜかと言うと、もちろんDP-100日本語版トレーリング認定試験がとても大切な試験ですから。IT職員の皆さんにとって、この試験のDP-100日本語版トレーリング認証資格を持っていないならちょっと大変ですね。この認証資格はあなたの仕事にたくさんのメリットを与えられ、あなたの昇進にも助けになることができます。とにかく、これは皆さんのキャリアに大きな影響をもたらせる試験です。こんなに重要な試験ですから、あなたも受験したいでしょう。
もしあなたはまだ合格のためにMicrosoft DP-100日本語版トレーリ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日本語版トレーリング「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Goldmile-Infobizが有効なMicrosoft DP-100日本語版トレーリ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。
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 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: 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 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: 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/
Google Professional-Data-Engineer-JPN - Goldmile-Infobizには専門的なエリート団体があります。 Salesforce MC-101 - 君の初めての合格を目標にします。 Microsoft PL-300-KR - いろいろな受験生に通用します。 Microsoft PL-300 - IT業界ではさらに強くなるために強い専門知識が必要です。 MicrosoftのPegasystems PEGACPCSD25V1ソフトを使用するすべての人を有効にするために最も快適なレビュープロセスを得ることができ、我々は、MicrosoftのPegasystems PEGACPCSD25V1の資料を提供し、PDF、オンラインバージョン、およびソフトバージョンを含んでいます。
Updated: May 28, 2022