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  1. Home
  2. Oracle Certification
  3. 1z0-1085-22 Exam
  4. Oracle.1z0-1085-22.v2023-11-11.q57 Dumps
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Question 31

Which Oracle Cloud Infrastructure compute shapes does not incur instance billing in a STOPPED state?

Correct Answer: B
A shape is a template that determines the number of CPUs, amount of memory, and other resources that are allocated to an instance.
Standard shapes don't incur costs in a STOPPED state.
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Question 32

Which statement is true for an oracle cloud Infrastructure (OCI) compute instance?

Correct Answer: D
When you create an instance, the instance is automatically attached to a virtual network interface card (VNIC) in the cloud network's subnet and given a private IP address from the subnet's CIDR. You can let the IP address be automatically assigned, or you can specify a particular address of your choice. The private IP address lets instances within the cloud network communicate with each other.
Reference:
https://docs.cloud.oracle.com/en-us/iaas/Content/Compute/Tasks/launchinginstance.htm Instances use IP addresses for communication. Each instance has at least one private IP address and optionally one or more public IP addresses. A private IP address enables the instance to communicate with other instances inside the VCN, or with hosts in your on-premises network (via an IPSec VPN or Oracle Cloud Infrastructure FastConnect). A public IP address enables the instance to communicate with hosts on the internet.
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Question 33

Which option provides the best performance for running OLTP workloads in Oracle Cloud Infrastructure?

Correct Answer: A
On an Exadata DB system, all databases share dedicated storage servers which include flash storage. By default, the databases are given equal priority with respect to these resources. The Exadata storage management software uses a first come, first served approach for query processing. If a database executes a major query that overloads I/O resources, overall system performance can be slowed down.
The I/O Resource Management (IORM) allows you to assign priorities to your databases to ensure critical queries are processed first when workloads exceed their resource allocations. You assign priorities by creating directives that specify the number of shares for each database. The number of shares corresponds to a percentage of resources given to that database when I/O resources are stressed.
Directives work together with an overall optimization objective you set for managing the resources. The following objectives are available:
1) Auto - Recommended. IORM determines the optimization objective and continuously and dynamically determines the optimal settings, based on the workloads observed, and resource plans enabled.
2) Balanced - For critical OLTP and DSS workloads. This setting balances low disk latency and high throughput. This setting limits disk utilization of large I/Os to a lesser extent than low latency to achieve a balance between good latency and good throughput.
3) High throughput - For critical DSS workloads that require high throughput.
4) Low latency - For critical OLTP workloads. This setting provides the lowest possible latency by significantly limiting disk utilization.
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Question 34

You were recently assigned to manage a project to deploy Oracle E-Business Suite on Oracle Cloud Infrastructure (OCI). The application will require a database, several servers, and a shared file system.
Which three OCI services are best suited for this project?

Correct Answer: A,D,E
https://docs.oracle.com/en/solutions/deploy-ebusiness-suite-oci/index.html#GUID-0CA881FD-D96F-4885-BC77-62E3A66EFF95
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Question 35

Which is a key benefit of using oracle cloud infrastructure autonomous data warehouse?

Correct Answer: B
Oracle Autonomous Data Warehouse is a cloud data warehouse service that eliminates virtually all the complexities of operating a data warehouse and securing data. It automates provisioning, configuring, securing, tuning, scaling, patching, backing up, and repairing of the data warehouse. Unlike other "fully managed" cloud data warehouse solutions that only patch and update the service, it also features elastic, automated scaling, performance tuning, security, and a broad set of built-in capabilities that enable machine learning analysis, simple data loading, and data visualizations.
Data Warehouse uses continuous query optimization, table indexing, data summaries, and auto-tuning to ensure consistent high performance even as data volume and number of users grows. Autonomous scaling can temporarily increase compute and I/O by a factor of three to maintain performance. Unlike other cloud services which require downtime to scale, Autonomous Data Warehouse scales while the service continues to run.
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