20 SAS Viya Interview Questions and Answers
Prepare for the types of questions you are likely to be asked when interviewing for a position where SAS Viya will be used.
Prepare for the types of questions you are likely to be asked when interviewing for a position where SAS Viya will be used.
SAS Viya is a powerful statistical software that is used by businesses and organizations to make data-driven decisions. If you are interviewing for a position that uses SAS Viya, it is important to be prepared to answer questions about the software. In this article, we review some of the most commonly asked SAS Viya questions and provide tips on how to answer them.
Here are 20 commonly asked SAS Viya interview questions and answers to prepare you for your interview:
SAS Viya is a cloud-enabled, in-memory analytics platform that delivers a wide range of analytical capabilities through a single, unified interface.
The architecture of SAS Viya is designed to provide users with a scalable, cloud-ready platform that can be deployed on-premises or in the cloud. Viya includes a microservices-based architecture that enables users to deploy individual components of the platform as needed. The platform also includes a variety of APIs that allow developers to extend the functionality of the platform.
SAS Viya is a powerful tool that can be used for a variety of applications. Some examples of real-world applications that have been built with SAS Viya include predictive maintenance, fraud detection, customer segmentation, and financial forecasting.
SAS Viya is a cloud-based solution that offers a variety of benefits over other similar solutions. First, SAS Viya is much easier to use and doesn’t require as much technical expertise. Second, SAS Viya is much more affordable and doesn’t require a long-term commitment. Finally, SAS Viya offers a much more comprehensive set of features and tools than other solutions.
Yes, it is possible to run SAS Viya on a laptop. The minimum system requirements are a processor speed of 2 GHz, 4 GB of RAM, and 10 GB of available storage.
CAS is a cloud-based platform that provides a variety of analytical services, including data preparation, model training and deployment, and results visualization. CAS can be used to build and deploy machine learning models, as well as to score new data in order to make predictions.
While both CASL and Python are programming languages that can be used for SAS Viya, there are some key differences between the two. CASL is a proprietary language created specifically for SAS Viya, while Python is a more general purpose language. CASL is also designed to be more user-friendly and easier to learn than Python, making it a good choice for those new to SAS Viya.
Yes, SAS Viya provides support for model lifecycle management through its Model Manager component. Model Manager allows users to track the development of models from initial creation through to deployment and monitoring. It also provides tools for managing model versions and for collaboration between model developers.
Apache Spark is used in SAS Viya for a variety of purposes, including data processing, machine learning, and streaming analytics.
A cloud resource manager is a tool that helps you to optimize your use of computing resources in the cloud. It can help you to manage your cloud resources more effectively, and to ensure that you are using the most cost-effective resources for your needs.
The different options available for visualizing output data from SAS Viya include the following:
– SAS Visual Analytics
– SAS Visual Statistics
– SAS Visual Data Mining and Machine Learning
– SAS Visual Forecasting
– SAS Visual Text Analytics
– SAS Visual Business Intelligence
SAS Viya offers a variety of libraries, each with its own purpose and use. The most common libraries are the SAS programming library, the SAS data management library, and the SAS statistical library. The SAS programming library is used for SAS programming tasks, the SAS data management library is used for data management tasks, and the SAS statistical library is used for statistical tasks.
There are a few best practices for using SAS Viya effectively:
-SAS Viya should be used in conjunction with other SAS products to get the most benefit from it.
-SAS Viya should be used to manage and analyze data from multiple sources.
-SAS Viya should be used to create reports and visualizations that can be shared with others.
Machine learning in SAS Viya is a process of using algorithms to automatically learn and improve from experience without being explicitly programmed.
A pipeline is a series of processing steps that data goes through in order to be transformed from one form to another. In SAS Viya, pipelines are used in order to prepare data for modeling or to score new data using a model that has already been created.
The process of installing SAS Viya on a client machine is relatively simple. First, the client machine needs to be configured to meet the minimum system requirements for SAS Viya. Next, the SAS Viya installer is downloaded and run on the client machine. Finally, the client machine is registered with the SAS Viya environment.
There are a few common security issues associated with SAS Viya. One is that it is possible for unauthorized users to gain access to the system if they are able to exploit vulnerabilities in the system. Another issue is that SAS Viya can be used to launch denial of service attacks.
SAS Viya is a powerful tool that can be used for a variety of purposes. Some examples of good use cases for SAS Viya include data analysis, predictive modeling, and data visualization.
SAS Viya is a powerful tool that can be used for a variety of analytical operations. Some of the most common uses for SAS Viya include predictive modeling, data mining, text analytics, and optimization.
There is no definitive answer to this question as it will depend on the specific system configuration and available resources. However, it is generally accepted that SAS Viya can handle datasets of up to 100GB in size.