Fast2test DP-100 최신 PDF 버전 시험 문제집을 무료로 Google Drive에서 다운로드하세요: https://drive.google.com/open?id=1shcWAkYnWtVei0vnyl3D4ZlcDbO4qFCs
우리Fast2test 에서 제공하는 학습가이드에는 IT전문가들이 만들어낸 시험대비 자료들과Microsoft DP-100인증시험의 완벽한 문제와 답들입니다. 그리고 우리Fast2test에서는 IT업계에서의 높은 신뢰감으로 여러분들한테 100%보장을 드립니다. 우리에 믿음을 드리기 위하여Microsoft DP-100관련자료의 일부분 문제와 답 등 샘플을 무료로 다운받아 체험해볼수 있게 제공합니다.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Data Science Solution on Azure |
| Exam Number: | DP-100 |
| Exam Duration: | 100-120 |
| Exam Price: | USD 165 (varies by region) |
| Real Exam Qty: | 40-60 |
| Available Languages: | German, French, Portuguese (Brazil), Korean, Simplified Chinese, Japanese, Russian, Spanish, English |
| Related Certifications: | Microsoft Certified: Azure Data Scientist Associate |
| Certificate Validity Period: | 1 year (renewable through Microsoft certification renewal assessment) |
| Exam Format: | Multiple response, Drag and drop, Multiple choice, Case studies, Hands-on lab tasks |
| Passing Score: | 700/1000 |
| Recommended Training: | Microsoft Learn - DP-100 Learning Path Azure Machine Learning Documentation |
| Exam Registration: | Official Microsoft Certification Page Pearson VUE Registration |
| Sample Questions: | Microsoft DP-100 Sample Questions |
| Exam Way: | Online proctored or in-person at authorized testing centers (Pearson VUE) |
| Pre Condition: | No mandatory prerequisites. Recommended familiarity with Python, machine learning concepts, and Azure fundamentals. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-data-scientist/ |
Fast2test에서 출시한 Microsoft인증 DP-100덤프는 실제시험문제 커버율이 높아 시험패스율이 가장 높습니다. Microsoft인증 DP-100시험을 통과하여 자격증을 취득하면 여러방면에서 도움이 됩니다. Fast2test에서 출시한 Microsoft인증 DP-100덤프를 구매하여Microsoft인증 DP-100시험을 완벽하게 준비하지 않으실래요? Fast2test의 실력을 증명해드릴게요.
DP-100 시험은 데이터 탐색 및 준비, 모델링, 피처 엔지니어링 및 머신 러닝과 같은 데이터 과학과 관련된 다양한 영역에서 후보자의 지식과 기술을 시험하는 것을 목적으로 합니다. 시험에 통과하려면 후보자는 Azure Machine Learning, Azure Databricks 및 Azure HDInsight와 같은 Azure 서비스를 사용하여 데이터 과학 솔루션을 설계하고 구현할 수 있는 능력을 입증해야 합니다.
질문 # 509
You are using the Azure Machine Learning Service to automate hyperparameter exploration of your neural network classification model.
You must define the hyperparameter space to automatically tune hyperparameters using random sampling according to following requirements:
* The learning rate must be selected from a normal distribution with a mean value of 10 and a standard deviation of 3.
* Batch size must be 16, 32 and 64.
* Keep probability must be a value selected from a uniform distribution between the range of 0.05 and
0.1.
You need to use the param_sampling method of the Python API for the Azure Machine Learning Service.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation
In random sampling, hyperparameter values are randomly selected from the defined search space. Random sampling allows the search space to include both discrete and continuous hyperparameters.
Example:
from azureml.train.hyperdrive import RandomParameterSampling
param_sampling = RandomParameterSampling( {
"learning_rate": normal(10, 3),
"keep_probability": uniform(0.05, 0.1),
"batch_size": choice(16, 32, 64)
}
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-tune-hyperparameters
질문 # 510
You are creating an experiment by using Azure Machine Learning Studio.
You must divide the data into four subsets for evaluation. There is a high degree of missing values in the data.
You must prepare the data for analysis.
You need to select appropriate methods for producing the experiment.
Which three modules should you run in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
정답：
설명：
Explanation:
The Clean Missing Data module in Azure Machine Learning Studio, to remove, replace, or infer missing values.
질문 # 511
An organization uses Azure Machine Learning service and wants to expand their use of machine learning.
You have the following compute environments. The organization does not want to create another compute environment.
You need to determine which compute environment to use for the following scenarios.
Which compute types should you use? To answer, drag the appropriate compute environments to the correct scenarios. Each compute environment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
정답：
설명：
Box 1: nb_server
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-set-up-training-targets
질문 # 512
You publish a batch inferencing pipeline that will be used by a business application.
The application developers need to know which information should be submitted to and returned by the REST interface for the published pipeline.
You need to identify the information required in the REST request and returned as a response from the published pipeline.
Which values should you use in the REST request and to expect in the response? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-pipeline-batch-scoring-classification
질문 # 513
You have a feature set containing the following numerical features: X, Y, and Z.
The Poisson correlation coefficient (r-value) of X, Y, and Z features is shown in the following image:
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.
정답：
설명：
Explanation
Box 1: 0.859122
Box 2: a positively linear relationship
+1 indicates a strong positive linear relationship
-1 indicates a strong negative linear correlation
0 denotes no linear relationship between the two variables.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/compute-linear-correlation
질문 # 514
......
DP-100퍼펙트 덤프샘플 다운로드: https://kr.fast2test.com/DP-100-premium-file.html
그리고 Fast2test DP-100 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1shcWAkYnWtVei0vnyl3D4ZlcDbO4qFCs