Unit 4 Quiz

What is the primary function of NVIDIA vGPU software?

• To allow multiple virtual machines to share access to a single physical GPU.

• To provide a platform for building and deploying containerized applications.

• To schedule and allocate resources for distributed computing jobs.

• To optimize trained models for faster inference.

Which feature of NVIDIA AI Enterprise helps developers quickly start building specific AI use cases?

• a) Infrastructure optimization tools

• b) Cloud-native management tools

• c) AI workflows

• d) Virtual GPU software

How does QGraph enhance the capabilities of the Rapids data science platform?

• a) By providing a framework and libraries for graph analytics.

• b) By accelerating the loading, filtering, and manipulation of data.

• c) By offering GPU versions of machine learning algorithms.

• d) By scheduling jobs in a map-reduce style.

What is a key advantage of Slurm in managing HPC workloads?

• a) It automatically scales resources based on user demand.

• b) It enables the deployment of applications across various cloud providers.

• c) It allows multiple projects and applications to run concurrently on a cluster.

• d) It packages applications and dependencies for portable deployment.

How does Kubernetes improve resource utilization in cloud environments?

• a) By providing a platform for building and testing code before cloud deployment.

• b) By automatically scaling resources based on demand and freeing them when not needed.

• c) By allowing enterprises to manage web services across different cloud providers.

• d) By enabling efficient data interchange between different applications.

In the context of deep learning, what is the purpose of labeled data?

• a) To identify errors in the training data.

• b) To guide the neural network's learning process.

• c) To make predictions on new, unseen data.

• d) To improve the efficiency of data interchange.

What is the key benefit of using containers in software development and deployment?

• a) They eliminate the need for IT managers.

• b) They ensure that applications only run on specific systems.

• c) They simplify the process by packaging applications and dependencies together.

• d) They automatically adjust resource allocation based on user demand.

How does the NVIDIA platform accelerate the deployment of AI models into production?

• a) By providing pre-trained models and tools for data preparation and inference optimization.

• b) By enabling the creation of custom AI models without relying on existing frameworks.

• c) By automating the process of reserving cloud instances for AI workloads.

• d) By managing the lifecycle of AI applications without requiring IT support.

Which component of the deep learning software stack allows for portable development and deployment across various environments?

• a) NVIDIA driver

• b) Operating system

• c) Containers

• d) CUDA Toolkit

What is the main advantage of using the NVIDIA NGC catalog for AI and HPC applications?

• a) It offers a platform for building custom AI models from scratch.

• b) It provides access to containerized software, pre-trained models, and Helm charts.

• c) It allows direct control over system resources and security for on-premises deployments.

• d) It enables the execution of end-to-end data science pipelines solely on CPUs.