MCQOPTIONS
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This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Technical MCQs knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Operator system module consists of all the operators that define static forward and gradient calculation. |
| A. | Yes |
| B. | No |
| C. | Can be yes or no |
| D. | Can not say |
| E. | |
| Answer» B. No | |
| 2. |
KV stores stands for? |
| A. | Key-Visualize store |
| B. | Key-Value store |
| C. | Kernel-Value store |
| D. | None of the above |
| Answer» C. Kernel-Value store | |
| 3. |
________ API is not thread safe which means that only one thread should make engine API calls at a time. |
| A. | Wait |
| B. | VarHandle |
| C. | Context |
| D. | Push |
| Answer» E. | |
| 4. |
___________ is a Gluon toolkit for Natural Language Processing (NLP) powered by MXNet. |
| A. | GluonNP |
| B. | GluNLP |
| C. | GluonNLP |
| D. | GNLP |
| Answer» D. GNLP | |
| 5. |
Which module provides flexible imperative programs for Apache MXNet? |
| A. | KVStore |
| B. | Data Loading |
| C. | NDArray |
| D. | Symbol Construction |
| Answer» D. Symbol Construction | |
| 6. |
GluonTS is a Gluon toolkit for Probabilistic Time Series Modeling powered by MXNet. |
| A. | TRUE |
| B. | FALSE |
| C. | Can be true or false |
| D. | Can not say |
| Answer» B. FALSE | |
| 7. |
Which of the following are features of GluonCV? |
| A. | More than 170+ high quality pretrained models |
| B. | Embrace flexible development pattern |
| C. | Easy to understand implementations |
| D. | All of the above |
| Answer» E. | |
| 8. |
_______ is a Gluon toolkit for computer vision powered by MXNet. |
| A. | GluCV |
| B. | GluonCV |
| C. | GCV |
| D. | GluTool |
| Answer» C. GCV | |
| 9. |
Which of the following are deep learning platforms? |
| A. | Torch7 |
| B. | Caffe |
| C. | Theano |
| D. | All of the above |
| Answer» E. | |
| 10. |
____________ is a powerful open-source deep learning software framework instrument helping developers build, train, and deploy Deep Learning models. |
| A. | Apache Net |
| B. | Apache SXNet |
| C. | Apache MXNet |
| D. | Apache WP |
| Answer» D. Apache WP | |