Oracle Updated 1z0-1085-23 Exam Questions and Answers by ace

Dimensions are defined as qualifiers used for filtering group metric data presented in the OCI Monitoring service. Dimensions are key-value pairs that provide additional information about a metric, such as resource ID, region, availability domain, fault domain, shape, image, etc. Dimensions allow you to narrow down the scope of your metric queries and alarms by specifying which resources or attributes you want to monitor. For example, you can use dimensions to filter the CPU utilization metric by instance ID or shape.

Oracle Functions is a fully managed, multi-tenant, highly scalable, on-demand, Functions-as-a-Service platform. It is built on enterprise-grade Oracle Cloud Infrastructure and powered by the Fn Project open source engine. Use Oracle Functions (sometimes abbreviated to just Functions) when you want to focus on writing code to meet business needs.

The serverless and elastic architecture of Oracle Functions means there's no infrastructure administration or software administration for you to perform. You don't provision or maintain compute instances, and operating system software patches and upgrades are applied automatically. Oracle Functions simply ensures your app is highly-available, scalable, secure, and monitored. With Oracle Functions, you can write code in Java, Python, Node, Go, and Ruby (and for advanced use cases, bring your own Dockerfile, and Graal VM). You can then deploy your code, call it directly or trigger it in response to events, and get billed only for the resources consumed during the execution.

The Accelerated Data Science (ADS) SDK is an Oracle-developed Python library that makes common data science tasks faster, easier, and less error prone. The ADS SDK provides tools for data ingestion, exploration, transformation, visualization, modeling, evaluation, interpretation, and deployment. The ADS SDK also integrates with other popular Python libraries such as pandas, scikit-learn, TensorFlow, PyTorch, etc.

The ADS SDK is included as part of the Data Science service at no additional cost. The Data Science service is a fully managed platform that enables data scientists to build, train, deploy, and manage machine learning models on OCI. The Data Science service provides access to notebook sessions that come pre-installed with the ADS SDK and other essential Python packages for data science workflows.