Terms of Use of Yandex DataSphere

This document constitutes the Terms of Use of Yandex DataSphere Service (the "Service") and is an integral part of Yandex.Cloud Customer Agreement (“Agreement”) and Service Terms set forth at https://yandex.com/legal/cloud_service_terms. Capitalized terms used herein but not defined herein shall have the meanings set forth in Agreement and Linked Documents.

1. Functional Features of the Service

1.1. The Service enables the Customer to perform data analysis, develop and operate Machine Learning Models. Various types of computing resources are provided for the development and operation of the Platform. The functional features of the Service are fully described in the technical specifications and Service Guidelines available on the Site.

1.2. Functionalities of the Service:

1.2.1. creating, uploading, storage, downloading, and an ability to share the code generated as a result of development, as well as the data necessary for the code to operate;

1.2.2. switching and scaling dedicated Platform resources to run computations;

1.2.3. creating Data Proc Clusters in the Data Proc Data Management Service with the necessary performance parameters to run parallel computations;

1.2.4. Other functionalities of the Service that Yandex, at its discretion, makes available to the Customer. The list of functionalities is available to the Customer on the Site and/or in the Management Console.

1.3. Service Level is determined for the Service in accordance with SLA.

2. Pricing

2.1. The use of the Service is chargeable.

2.2. The cost of the Service is determined according to the rates and billing units specified on the Site. Yandex may change the rates as provided by the Agreement.

2.3. The cost of the Service depends on the time of use of the Service and the parameters of virtual computation resources.

2.4. When using the Service, the Customer may consume other Platform resources that are charged according to their individual terms.

2.5. As part of the Service, the volume of Outgoing Traffic, the cost of back-up copies, and other additional benefits used by the Customer and related to the use of the Service are additionally charged.

2.6. Yandex may from time to time provide the Customer with additional functional features of the Service for an additional fee.

Definitions:

A Machine Learning Model is a file or set of files containing a prediction model based on machine learning techniques and designed to recognize certain types of patterns for subsequent decision-making or other Client needs.

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Yandex Services AG

Web address: https://yandex.com/legal/cloud_terms_yds

Date of placement: September 30, 2020.