1z0-1085-23 Exam Dumps - Oracle Cloud Infrastructure 2023 Foundations Associate

The cost of running a virtual machine instance in Oracle Cloud Infrastructure depends on several factors, such as the size, shape, region, and operating system of the instance. The number of virtual machines running does not impact the cost of each individual instance1

Changing the Shape of an Instance (Horizontal Scaling)

You can change the shape of a virtual machine (VM) instance without having to rebuild your instances or redeploy your applications. This lets you scale up your Compute resources for increased performance, or scale down to reduce cost.

Autoscaling (vertical scaling)

Autoscaling lets you automatically adjust the number of Compute instances in an instance pool based on performance metrics such as CPU utilization. This helps you provide consistent performance for your end users during periods of high demand, and helps you reduce your costs during periods of low demand.

As load increases, instances are automatically provisioned: the instance pool scales out. As load decreases, instances are automatically removed: the instance pool scales in.

https://docs.cloud.oracle.com/en-us/iaas/Content/Compute/Tasks/resizinginstances.htm

An instance configuration is the term used to describe the combination of an instance’s shape, base image, and metadata in the Oracle Cloud Infrastructure Compute service. An instance configuration defines the hardware and software specifications for launching an instance.

In OCI a budget can be used to set soft limits on your Oracle Cloud Infrastructure spending. You can set alerts on your budget to let you know when you might exceed your budget, and you can view all of your budgets and spending from one single place in the Oracle Cloud Infrastructure console.

Budgets are set on

· Cost-tracking tags

· Compartments (including the root compartment)

https://www.oracle.com/assets/paas-iaas-pub-cld-srvs-pillar-4021422.pdf

Enterprises demand more than just availability from their cloud infrastructure. Mission-critical workloads also require consistent performance, and the ability to manage, monitor, and modify resources running in the cloud at any time. Only Oracle offers end-to-end SLAs covering performance, availability, manageability of services.

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.

Low performance is not a performance level available in the Oracle Cloud Infrastructure Block Volume service. The Block Volume service offers four performance levels for block volumes: higher performance, balanced, lower cost, and ultra high performance. Each performance level has different characteristics in terms of throughput, IOPS, latency, and cost.