C. OCI Object Storage with the Object Lock feature to protect backups from accidental deletion or malicious attacks. D. OCI Block Volume backups Explanation: OCI Block Volume backups -> Correct. This feature enables automated, policy -based backup copying across regions, aligning with the company's need for streamlined and reliable disaster recovery. OCI Identity and Access Management (IAM) -> Incorrect. While IAM is crucial for security and access control, it doesn't directly facilitate data backup and disaster recovery processes. OCI Object Storage with the Object Lock feature to protect backups from accidental deletion or malicious attacks. -> Incorrect. Although Object Lock is valuable for protecting data, it does not address the automation or cross -region aspects of the requirement. OCI Functions -> Incorrect. While OCI Functions can automate tasks, setting up cross -region backups would require more than just function triggers and lacks the simplicity of built -in backup solutions. When planning a large -scale migration of virtual machine workloads to Oracle Cloud Infrastructure (OCI) using Oracle Cloud Migrations, what is the most important consideration to ensure the migration is performed efficiently and with minimal downtime?
multiple regions. However, despite this configuration, a significant portion of data became inaccessible after a catastrophic event in one region. What is the most likely reason for this data inaccessibility?
Your organization requires a solution to archive logs generated by various cloud resources and applications. The logs are expected to accumulate at a rate of approximately 5GB per day. You need a cost-effective, scalable, and automated solution within Oracle Cloud Infrastructure (OCI) to store, manage, and occasionally access these logs for analysis. Which of the following options is the most cost-effective and scalable solution to meet this requirement?
traffic management. D. Migrate the application to Oracle Kubernetes Engine (OKE) for containerized management and scalability, and the database to Oracle Autonomous Data Warehouse (ADW) with Autonomous Data Guard for high availability and disaster recovery. Explanation: Migrate the database to Oracle Exadata Cloud Service with Real Application Clusters (RAC) for high performance and availability, and deploy the application on a combination of OCI Compute instances and Oracle Container Engine for Kubernetes (OKE) for application scalability and management. Configure cross -region Data Guard for disaster recovery. -> Correct. Exadata Cloud Service provides the high performance, scalability, and availability required for high -volume transaction processing. Using RAC enhances availability and performance, while cross -region Data Guard ensures disaster recovery. OKE offers scalable application deployment, addressing all the institution’s needs. Deploy the core banking application on OCI Compute instances arranged in an auto -scaling group, migrate the database to MySQL Database Service with Data Guard for disaster recovery, and implement OCI Load Balancer for traffic management. -> Incorrect. While this setup offers scalability and some level of high availability, MySQL Database Service may not meet the performance requirements of a high-volume transaction processing system typical of core banking applications. Migrate the application to Oracle Kubernetes Engine (OKE) for containerized management and scalability, and the database to Oracle Autonomous Data Warehouse (ADW) with Autonomous Data Guard for high availability and disaster recovery. -> Incorrect. ADW is optimized for analytical workloads rather than transaction processing, which might not align well with the performance requirements of the core banking system. Implement the banking application on Oracle Functions for serverless computing, migrate the database to Oracle NoSQL Database Service for horizontal scalability, and use OCI API Gateway for traffic management. -> Incorrect. Oracle NoSQL Database Service offers scalability, but may not provide the transaction consistency, performance, and features needed for a complex transaction processing system like that of a financial institution. You are tasked with optimizing the performance of a set of applications running on Oracle Cloud Infrastructure (OCI). After an initial review, you identify that the block storage volumes attached to your compute instances might be underperforming. Before proceeding with any changes, you want to verify your suspicion by analyzing the performance metrics of these volumes. Which of the following steps should you take to accurately assess the performance of the block storage volumes?
disruptive way to assess the performance of block storage volumes. This can provide insights into IOPS, throughput, and latency, helping to identify any bottlenecks. Directly increase the size of the block storage volumes, assuming that larger volumes will naturally perform better. -> Incorrect. While increasing the size of block storage volumes can improve performance due to higher provisioned IOPS, this step should only be taken after confirming that performance is indeed an issue through metrics analysis. Reformat the block storage volumes with a different file system that is known for higher performance. -> Incorrect. Changing the file system is a significant action that could lead to data loss if not properly managed. Performance issues should first be diagnosed with metrics before considering such drastic changes. Detach and reattach the block storage volumes to different compute instances to see if the issue is with the original compute instances. -> Incorrect. Detaching and reattaching block storage volumes to different instances is a more invasive troubleshooting step that may not directly address performance issues. It's better to first analyze performance metrics. You are configuring access controls for a team of developers working on various projects within Oracle Cloud Infrastructure (OCI). What is the essential step to securely manage access to OCI resources without directly assigning individual policies to each user?
B. Network bandwidth throttling has been applied due to exceeding the allocated bandwidth limit for the month. C. The database files on the Block Volume are fragmented, leading to increased I/O latency. D. The Compute instance is using AMD -based processors, which are incompatible with your database application. Explanation: Network bandwidth throttling has been applied due to exceeding the allocated bandwidth limit for the month. -> Correct. OCI instances have bandwidth limits based on the instance size and type. Exceeding these limits can result in throttled network performance, impacting applications that rely on network connectivity for data access or external communications. The Compute instance is using AMD -based processors, which are incompatible with your database application. -> Incorrect. OCI supports various types of processors, and compatibility with AMD -based processors would not typically cause a sudden performance degradation if the application was initially performing well. The Block Volume is encrypted with a Customer -Managed Key (CMK) that has been disabled. -> Incorrect. While encryption keys are crucial for data security, disabling the CMK for an encrypted Block Volume would prevent access to the volume altogether, not degrade performance. The database files on the Block Volume are fragmented, leading to increased I/O latency. -> Incorrect. File fragmentation can affect performance, but OCI's Block Volume storage is designed to handle I/O operations efficiently, and such issues would be uncommon without significant changes to the storage usage pattern. A software company is planning to refactor its existing N -tier e -commerce application into a more scalable and resilient architecture on Oracle Cloud Infrastructure (OCI). The application consists of a web front-end, an application logic layer, and a database layer. The company aims to improve scalability, enable rapid deployment of updates, and reduce costs. Which two architectural decisions should the architect recommend to best meet these objectives while considering patterns including N -tier applications, microservices, and serverless architectures?
