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Oracle 1z0-1084-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Cloud Native Applications and Containerization	33%	- Oracle Cloud Infrastructure Registry 1. Push container images to OCIR 2. Pull container images from OCIR - Container Orchestration 1. Deploy containerized applications on Oracle Kubernetes Engine 2. Role of container orchestration - Docker and Containerization 1. Containerization concepts 2. Docker architecture and components
Topic 2: Cloud Native Fundamentals	11%	- Cloud Native Principles 1. Key pillars of cloud native development 2. Fundamentals of cloud native development - Microservices Architecture 1. Microservices architecture 2. Microservices design methodology
Topic 3: Testing and Securing Cloud Native Applications	13%	- Cloud Native Testing 1. Cloud native testing methodologies 2. Testing strategies for cloud native applications - Cloud Native Security 1. Manage sensitive configuration information 2. Use OCI Vault to securely manage encryption keys 3. Apply security measures for cloud native development
Topic 4: Monitoring and Troubleshooting Cloud Native Applications	10%	- Monitoring, Logging, and Tracing 1. Perform monitoring, logging, and tracing tasks 2. Troubleshoot cloud native applications - OCI Logging 1. Search and analyze logs 2. Enable and manage logs - OCI Monitoring 1. Use OCI Monitoring to view metrics
Topic 5: Leveraging Serverless Technologies for Cloud Native Development	33%	- OCI Streaming 1. Integrate systems using OCI Streaming 2. Use streaming for serverless and managed application architectures - Oracle Functions 1. Develop serverless applications with Oracle Functions - OCI Queue 1. Implement asynchronous messaging for microservices - OCI Events 1. Build event-driven serverless applications - API Gateway 1. Process traffic from API clients 2. Route API traffic to backend services

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Oracle Cloud Infrastructure Developer Professional 認定 1z0-1084-26 試験問題 (Q36-Q41):

質問 # 36
As a Cloud Native developer, you develop two services in Node.js and deploy them to two different Container Engine for Kubernetes (OKE) clusters that use the same Virtual Cloud Network (VCN). Your security team wants to analyze the network communication between them. How can this requirement be met in the most cost-effective way?

A. Deploy a third-party logging service and aggregate the network flow logs.
B. Deploy Wireshark and intercept the packets.
C. Rewrite the application and send the application logs to an outside log aggregator.
D. Use the OCI Logging service and enable VCN flow logs.

正解：D

解説：
The best answer is: " Use the OCI Logging service and enable VCN flow logs. " To meet the requirement of analyzing network communication between two services deployed in different Container Engine for Kubernetes (OKE) clusters within the same Virtual Cloud Network (VCN) in a cost-effective way, you can use the OCI Logging service and enable VCN flow logs. The VCN flow logs feature in OCI allows you to capture and log network traffic information for your VCN resources. By enabling VCN flow logs, you can monitor and analyze the network communication between your services without the need for additional third- party logging services or tools. Enabling VCN flow logs provides visibility into the network traffic, including source and destination IP addresses, ports, protocols, and other relevant details. This information can be collected and stored in the OCI Logging service, where you can analyze and gain insights into the network communication patterns between your services. By leveraging the built-in capabilities of the OCI Logging service and enabling VCN flow logs, you can fulfill the security team ' s requirement for network communication analysis in a cost-effective manner. This eliminates the need for deploying additional third- party logging services or tools, reducing complexity and potential costs associated with their setup and maintenance. The other options mentioned are not the most cost-effective or suitable solutions for analyzing network communication in this scenario: Deploying a third-party logging service and aggregating the network flow logs would introduce additional costs and complexity, which may not be necessary considering the built- in capabilities provided by OCI. Rewriting the application to send logs to an outside log aggregator would not directly address the requirement of analyzing network communication between the services. It would focus more on application-level logs rather than network-level analysis. Deploying Wireshark and intercepting packets would require additional infrastructure setup and maintenance, which may not be the most cost- effective approach for network analysis in this scenario.

質問 # 37
Which statement is NOT valid regarding the configurations and behaviors of Oracle Cloud Infrastructure (OCI) Queue?

A. The maximum retention period of a message is configurable from 10 seconds to 7 days and cannot be changed after the queue has been created.
B. The maximum payload size of a single message published to an Oracle Cloud Infrastructure (OCI) Queue can be configured up to 1 MB.
C. The maximum number of delivery attempts before a message is transferred to a dead letter queue is configurable to values from 1 to 20.
D. The visibility timeout of a message is configurable from 1 second to 12 hours at the queue level and can be extended by a consumer during processing.

正解：B

解説：
Statement C is NOT valid because OCI Queue currently limits an individual message to256 KB, not a configurable 1 MB. Oracle ' s current functional limits specify a maximum message size of 256 KB, while a PutMessage batch request can contain up to 20 messages with a combined request size of 512 KB. Message retention can be configured from 10 seconds through seven days and cannot be changed after queue creation.
Queue-level visibility timeout ranges from one second to twelve hours, and visibility can be adjusted while processing. Oracle also documents maximum delivery attempts as configurable from 1 through 20 before failed messages are moved to the dead letter queue. Therefore, C alone contradicts the current Queue functional limits.

質問 # 38
Which statement is NOT valid regarding log retention periods in the Oracle Cloud Infrastructure (OCI) Logging service?

A. Audit logs are automatically generated and managed by the tenancy, with a fixed and unchangeable retention duration of 180 days.
B. The exact future time and date that a specific log entry becomes unavailable is based on the precise creation timestamp of that log.
C. If a log ' s retention period is changed from six months to one month, all existing logs older than one month will no longer be accessible.
D. For both service and custom logs, the log retention period can be set in 30-day increments up to a maximum of 180 days.

正解：A

解説：
Statement D is NOT valid because OCIAudit logs are retained for 365 days, not 180 days. Oracle states that Audit retention is a tenancy-level setting affecting all regions and compartments and that its value cannot be changed. By contrast, OCI Logging service and custom logs support configurable retention in 30-day increments up to 180 days. Oracle also confirms that reducing a log ' s retention period makes existing data outside the new retention window unavailable and unsearchable. Therefore, the question intentionally distinguishes configurable Logging retention from the fixed OCI Audit retention model. The incorrect portion of D is specifically the stated 180-day duration; OCI Audit uses a 365-day retention period.

質問 # 39
What is the maximum execution time of Oracle Functions?

A. 300 seconds
B. 240 seconds
C. 120 seconds
D. 60 seconds

正解：A

解説：
The maximum execution time of Oracle Functions is 300 seconds, which is equivalent to 5 minutes. This means that a function running within Oracle Functions cannot exceed a runtime of 5 minutes. If a function requires longer execution times, alternative approaches such as invoking external services asynchronously or using long-running processes should be considered. It is important to design functions with this execution time limitation in mind to ensure optimal performance and efficiency within the Oracle Functions platform.

質問 # 40
Which limit represents the maximum write throughput supported per partition of an Oracle Cloud Infrastructure stream when designing high-volume data producer workloads?

A. 2 MB per second
B. 1 MB per second
C. 4 MB per second
D. 8 MB per second

正解：B

解説：
Oracle ' s current OCI Streaming limits specify that each stream partition supports a total data write rate of 1 MB per second. Partition count is therefore a fundamental capacity-planning parameter for producer workloads. If an application is expected to produce more than 1 MB per second, the stream must contain enough partitions to distribute the required ingress throughput appropriately. Oracle ' s partitioning guidance likewise states that expected throughput should be calculated before stream creation because each partition is limited to the 1 MB-per-second write rate. The 2 MB figure is not the documented write limit, while 4 MB and 8 MB exceed the per-partition ingress capacity. Therefore, the maximum write throughput represented by the available choices is 1 MB per second.

質問 # 41
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