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Alibaba Cloud's Machine Learning Platform: PAI (Exam) |
Notice!
Always refer to the official Alibaba Documentaion for the most accurate and up-to-date information.
Exam Question
1. How to set the algorithm parameters in PAI?
A. XML
B. JSON
C. CSV
D. XLS
2. DSW2.0, the new version directly uses Alibaba Cloud instances:
A. NumericB. BooleanC. 1 or 0D. Just keep the original format
3. The architecture of Machine Learning Platform for AI is divided into five
layers, which of the following statemeng is correct?
A. Infrastructure layer: includes CPU, GPU, Field Programmable Gate Array (FPGA), and Neural network Processing Unit (NPU) resources.B. Computing framework layer: includes Alink, TensorFlow, PyTorch, Caffe, MapReduce, SQL, and Message Passing Interface (MPI). You can run distributed computing tasks in these frameworks.C. Business layer: Machine Learning Platform for AI is widely used in finance, medical care, education, transportation, and security sectors. Search systems, recommendation systems, and financial service systems of Alibaba Group all use Machine Learning Platform for AI to explore data values for making informed business decisions.D. Machine Learning Platform for AI streamlines the workflows of machine learning, including data preparation, model creation and training, and model deployment.E. All above
4. Which of the following descriptions of PAI is correct?
A. Machine Learning Platform For AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation.B. Machine Learning Platform For AI provides a visualized web interface allowing you to create experiments by dragging and dropping different components to the canvas.C. Using machine learning servitization, Machine Learning Platform For AI allows you to create a complete workflow for enterprise-level machine learning data modeling and application.D. The infrastructure of Machine Learning Platform For AI relies on Alibaba Cloud distributed computing clusters. This allows Machine Learning Platform For AI to handle a large number of concurrent algorithm computing tasks.E. All above
5. Machine Learning Platform For AI is billed on a ______ basis.
A. Pay-As-You-GoB. Subscription
6. Machine Learning Platform For AI provides end-to-end machine learning
services, including data processing, feature engineering, model training,
model prediction, and model evaluation. Machine Learning Platform For AI
combines all of these services to make AI more accessible than ever.
TrueFalse
7. The computing results of the entire machine learning process on PAI can
NOT be visually displayed.
TrueFalse
8. On DLC platform, we can reveal our optimization workload on the back-end
engine in the kubernetes environment.
TrueFalse
9. In the compilation and optimization framework, PAI has added support for
pytorch, and we have also expanded support for more hardware, such as GPU,
CPU, and other ASIC.
TrueFalse
10. PAI could automate and optimize AI algorithm, so the Algorithm experts
could focus on the process of modeling rather than the engineering part.
TrueFalse
11. Three deep learning frameworks will be supported by PAI, they
are________. (Number of correct answers: 3)
A. TensorFlowB. CaffeC. MXNetD. Spark Mllib
12. Machine Learning Platform For AI(PAI) provides text processing
components for NLP, including __________. (Number of correct answers: 5)
A. Word splittingB. Deprecated word filteringC. LDAD. TF-IDFE. Text summarizationF. OpenCV
13. Which of the following benefits of Deep Learning Container are correct?
(Number of correct answers: 3)
A. Cloud-NativeB. ElasticC. CheapD. Easy to Use
14. PAI-Easy series Deep Learning Toolkit includes____? (Number of correct
answers: 3)
A. EasyTranfer(NLP)B. EasyViion(CV)C. EasyRL (reinforcement learning)D. Shogun
15. Which of the following development type is are supported by DSW 2.0?
(Number of correct answers: 3)
A. Jupyterlab interactive programmingB. Webide modeC. Terminal command lineD. Notebook