DP-100 Designing and Implementing a Data Science Solution on Azure exam is the requirement for: Microsoft Certified: Azure Data Scientist Associate Certification. Passquestion is a website which can help you save time and energy to rapidly and efficiently master the Microsoft certification DP-100 exam related knowledge.Passquestion Microsoft DP-100 Practice Test Questions can not only let you pass the exam easily, also can help you learn more knowledge about DP-100 exam.

Exam DP-100: Designing and Implementing a Data Science Solution on Azure

Microsoft recently released a certification named DP-100: Designing and Implementing a Data Science Solution on Azure for the title of Microsoft Certified: Azure Data Scientist Associate. This certification is for a data scientist to check his knowledge and solutioning skills on Azure. This certification checks for both the width and depth of data science knowledge.

Candidates for this exam apply scientific rigor and data exploration techniques to gain actionable insights and communicate results to stakeholders. Candidates use machine learning techniques to train, evaluate, and deploy models to build AI solutions that satisfy business objectives. Candidates use applications that involve natural language processing, speech, computer vision, and predictive analytics. 

DP-100 Exam Skill Measured

Define and prepare the development environment (15-20%)
Prepare data for modeling (25-30%)
Perform feature engineering (15-20%)
Develop models (40-45%)

Download Microsoft DP-100 Practice Test Questions:

1.You need to resolve the local machine learning pipeline performance issue.
What should you do?
A. Increase Graphic Processing Units (GPUs).
B. Increase the learning rate.
C. Increase the training iterations,
D. Increase Central Processing Units (CPUs).
Answer: A

2.You need to select an environment that will meet the business and data requirements.
Which environment should you use?
A. Azure HDInsight with Spark MLlib
B. Azure Cognitive Services
C. Azure Machine Learning Studio
D. Microsoft Machine Learning Server
Answer: D

3.You need to implement a scaling strategy for the local penalty detection data.
Which normalization type should you use?
A. Streaming
B. Weight
C. Batch
D. Cosine
Answer: C

4.You need to implement a feature engineering strategy for the crowd sentiment local models.
What should you do?
A. Apply an analysis of variance (ANOVA).
B. Apply a Pearson correlation coefficient.
C. Apply a Spearman correlation coefficient.
D. Apply a linear discriminant analysis.
Answer: D

5.You need to implement a model development strategy to determine a user’s tendency to respond to an ad.
Which technique should you use?
A. Use a Relative Expression Split module to partition the data based on centroid distance.
B. Use a Relative Expression Split module to partition the data based on distance travelled to the event.
C. Use a Split Rows module to partition the data based on distance travelled to the event.
D. Use a Split Rows module to partition the data based on centroid distance.
Answer: A