How to Prepare for Microsoft DP - 100 Exam Make DP - 100 Certification Exam Easy with Edusum.com Exam Code DP - 100 Full Exam Name Microsoft Certified - Azure Data Scientist Associate Number of Questions 40 - 60 Practice Exams Microsoft DP - 100 Certification Practice Exam Passing Score 700 / 1000 Time Limit 120 mins Books / Training DP - 100T01 - A: Designing and Implementing a Data Science Solution on Azure DP - 100 Exam Detail Experience success with Edusum.com DP - 100 Syllabus Topic Weights Manage Azure resources for machine learning 25 - 30% Run Experiments and Train Models 20 - 25% Deploy and operationalize machine learning solutions 35 - 40% Implement Responsible ML 5 - 10% Experience success with Edusum.com • Perform enough practice with Microsoft system with related Microsoft DP - 100 certification subjects • Identify the key configuration, workflow and data flow • Understand the all Syllabus Topics of Exam which are Given in Description. • Identify your weak areas from practice test and do more practice with system • Repeat practice exams and try to score 100% on www.edusum.com Preparation tips for Microsoft Designing and Implementing a Data Science Solution on Azure Certification Experience success with Edusum.com DP - 100 Sample Questions Experience success with Edusum.com Q 1) You plan to provision an Azure Machine Learning Basic edition workspace for a data science project. You need to identify the tasks you will be able to perform in the workspace. Which three tasks will you be able to perform? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Option. a) Create a Compute Instance and use it to run code in Jupyter notebooks. b) Create an Azure Kubernetes Service (AKS) inference cluster. c) Use the designer to train a model by dragging and dropping pre - defined modules. d) Create a tabular dataset that supports versioning. e) Use the Automated Machine Learning user interface to train a model. Experience success with Edusum.com ANSWER a) Create a Compute Instance and use it to run code in Jupyter notebooks. b) Create an Azure Kubernetes Service (AKS) inference cluster. d) Create a tabular dataset that supports versioning. Experience success with Edusum.com Q 2) You use Azure Machine Learning designer to publish an inference pipeline as a web service. During deployment, you create a service principal (SP) and configure authentication. You need to use the SP while consuming the endpoint. What should you do? Choose the correct answer. Option. a) Use the client secret to retrieve an authentication token. b) Use the regen_key method to regenerate the primary key. c) Use the AciWebservice.deploy_configuration to set auth_enabled to True. d) Use the get_keys method to retrieve authentication keys. Experience success with Edusum.com ANSWER a) Use the client secret to retrieve an authentication token. Experience success with Edusum.com Q 3) You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations. You need to configure the DLVM to support CUDA. What should you implement? Option. a) Solid State Drives (SSD) b) Computer Processing Unit (CPU) speed increase by using overclocking c) Graphic Processing Unit (GPU) d) High Random Access Memory (RAM) configuration e) Intel Software Extensions (Intel SGX) technology Experience success with Edusum.com ANSWER c) Graphic Processing Unit (GPU) Experience success with Edusum.com Q 4) You train a machine learning model. You must deploy the model as a real - time inference service for testing. The service requires low CPU utilization and less than 48 MB of RAM. The compute target for the deployed service must initialize automatically while minimizing cost and administrative overhead. Which compute target should you use? Option. a) Azure Container Instance (ACI) b) attached Azure Databricks cluster c) Azure Kubernetes Service (AKS) inference cluster d) Azure Machine Learning compute cluster Experience success with Edusum.com ANSWER a) Azure Container Instance (ACI) Experience success with Edusum.com Q 5) You use the Two - Class Neural Network module in Azure Machine Learning Studio to build a binary classification model. You use the Tune Model Hyperparameters module to tune accuracy for the model. You need to configure the Tune Model Hyperparameters module. Which two values should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. Option. a) Number of hidden nodes b) Learning Rate c) The type of the normalizer d) Number of learning iterations e) Hidden layer specification Experience success with Edusum.com ANSWER b) Learning Rate d) Number of learning iterations Experience success with Edusum.com • For more information on DP - 100 Certification please refer to FAQs. • The DP - 100 certification is increasingly becoming important for the career of employees. • The fees information are for the informative purposes and do not serve as an official offering and are subject to change • Focus on the guide for online registration and you will find it out. Info on Microsoft Designing and Implementing a Data Science Solution on Azure Certification Experience success with Edusum.com More Info on Microsoft Certification VISIT www.edusum.com