Organizer : The Digital Adds
About the Quiz
- Get Microsoft Cognitive Toolkit Professional Certificate from The Digital Adda which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
- Exam Details
- Format: Multiple Choice Question
- Questions: 10
- Passing Score: 8/10 or 80%
Language: English
Apply Link
100% Correct Answers Available Here
What is Microsoft Cognitive Toolkit (CNTK)?
*
10/10
A. Customer support platform
B. Machine learning framework
C. Cloud storage service
D. Video editing software
Which programming languages are officially supported by CNTK?
*
10/10
A. Python and Java
B. C++ and Swift
C. C# and F#
D. Ruby and PHP
What is the primary goal of CNTK in the field of machine learning?
*
10/10
A. Data visualization
B. Natural language processing
C. Speech recognition
D. Deep learning
Which of the following is a key feature of CNTK that sets it apart from other machine learning frameworks?
*
10/10
A. Integrated video editing tools
B. Distributed training capabilities
C. Augmented reality support
D. Music composition modules
What is the role of CNTK in deep learning applications?
*
10/10
A. Image compression
B. Gradient boosting
C. Neural network training
D. Regression analysis
Which Microsoft product is closely associated with CNTK for scalable deep learning solutions?
*
10/10
A. Azure Machine Learning
B. Microsoft Excel
C. SharePoint
D. Microsoft Word
What does CNTK’s BrainScript provide?
*
10/10
A. A programming language for web development
B. A graphical user interface for data analysis
C. A domain-specific language for defining neural networks
D. A scripting language for video game development
In CNTK, what is a block that performs a specific computation on input data called?
*
10/10
A. Node
B. Container
C. Module
D. Brick
Which protocol does CNTK use for distributed training across multiple machines?
*
10/10
A. HTTP
B. FTP
C. MPI
D. JSON-RPC
What is the primary advantage of using CNTK for large-scale machine learning projects?
*
10/10
A. Real-time weather updates
B. Scalability and distributed training
C. 3D modeling capabilities
D. Advanced spreadsheet functions