DP-100 · Question #127
Drag and Drop Question You configure a Deep Learning Virtual Machine for Windows. You need to recommend tools and frameworks to perform the following: - Build deep neural network (DNN) models…
The correct answer is Build DNN models: Microsoft Cognitive Toolkit; Enable interactive data exploration and visualization: PowerBI Desktop. The correct solution involves identifying the appropriate deep learning framework for building DNN models and the correct business intelligence tool for interactive data exploration and visualization.
Question
Exhibit
Answer Area
Drag items
Correct arrangement
- Build DNN models: Microsoft Cognitive Toolkit
- Enable interactive data exploration and visualization: PowerBI Desktop
Explanation
The correct solution involves identifying the appropriate deep learning framework for building DNN models and the correct business intelligence tool for interactive data exploration and visualization.
Approach. To answer this question correctly, the candidate must drag 'Microsoft Cognitive Toolkit' to the 'Tool' slot next to 'Build DNN models' and 'PowerBI Desktop' to the 'Tool' slot next to 'Enable interactive data exploration and visualization'. Microsoft Cognitive Toolkit (CNTK) is a deep learning framework developed by Microsoft, specifically designed for building, training, and evaluating deep neural networks. PowerBI Desktop is a business intelligence tool from Microsoft that specializes in interactive data visualization and report creation, making it ideal for data exploration and visualization tasks.
Common mistakes.
- common_mistake. Common mistakes include incorrectly associating tools like 'Vowpal Wabbit' or 'Azure Data Factory' with the given tasks. 'Vowpal Wabbit' is an open-source machine learning library primarily focused on online learning, active learning, and hashing tricks, but it is not a deep learning framework for building complex DNN models in the same category as CNTK, TensorFlow, or PyTorch. 'Azure Data Factory' is a cloud-based ETL (Extract, Transform, Load) service used for orchestrating and automating data movement and transformation workflows, not for building DNN models or performing interactive data visualization.
Concept tested. The underlying technical concept being tested is the candidate's knowledge of various Microsoft Azure and data science tools and frameworks, specifically their capabilities and appropriate use cases for deep learning model development and data visualization within a Deep Learning Virtual Machine environment.
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