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Oracle 1z0-1084-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Testing and Securing Cloud Native Applications	13%	- Cloud Native Security 1. Apply security measures to overcome challenges with cloud native development - Cloud Native Testing 1. Analyze and evaluate cloud native testing methodologies and develop effective strategies for testing cloud native applications - OCI Vault 1. Use OCI Vault to securely store and manage encryption keys and sensitive configuration information
Topic 2: Cloud Native Fundamentals	11%	- Cloud Native Principles 1. Explain the fundamentals of cloud native and discuss the key pillars of cloud native development - Microservices Architecture 1. Explain the microservices architecture and discuss the design methodology of microservices
Topic 3: Leveraging Serverless Technologies for Cloud Native Development	33%	- API Gateway 1. Create API gateways to process traffic from API clients and route it to back-end services - OCI Queue 1. Facilitate asynchronous messaging for microservices with OCI Queue - Oracle Functions 1. Develop serverless applications with Oracle Functions - OCI Events 1. Build event-driven serverless applications using OCI Events Service - OCI Streaming 1. Create integration between systems using OCI Streaming Service
Topic 4: Monitoring & Troubleshooting Cloud Native Applications	10%	- OCI Monitoring 1. Utilize OCI Monitoring Service to view metrics - OCI Logging 1. Use OCI Logging Service to enable, manage, and search logs - Monitoring, Logging, and Tracing 1. Perform tasks around monitoring, logging, and tracing
Topic 5: Cloud Native Applications and Containerization	33%	- OCI Registry 1. Use OCI Registry to pull and push container images - Container Orchestration 1. Discuss the role of container orchestration - Oracle Kubernetes Engine 1. Develop and deploy containerized applications on Oracle Kubernetes Engine - Docker and Containerization 1. Explain Docker and the concepts around its architecture and components

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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q36-Q41):

NEW QUESTION # 36
Which statement is NOT valid regarding the configurations and behaviors of Oracle Cloud Infrastructure (OCI) Queue?

A. 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.
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 retention period of a message is configurable from 10 seconds to 7 days and cannot be changed after the queue has been created.
D. The maximum number of delivery attempts before a message is transferred to a dead letter queue is configurable to values from 1 to 20.

Answer: B

Explanation:
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.

NEW QUESTION # 37
Which limit represents the maximum write throughput supported per partition of an Oracle Cloud Infrastructure stream when designing high-volume data producer workloads?

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

Answer: C

Explanation:
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.

NEW QUESTION # 38
You are planning the migration of a legacy monolithic billing application to a cloud-native architecture on Oracle Cloud Infrastructure. The application currently relies on a centralized relational database and synchronous local procedure calls, and you must address the primary architectural challenges associated with transitioning to a distributed microservices model.
Which TWO statements represent valid engineering challenges or design strategies that must be considered during this cloud-native migration?

A. Transitioning to microservices increases the operational complexity of the application, necessitating centralized logging and distributed tracing to troubleshoot service-to-service communication.
B. Monolithic databases migrated to OCI Object Storage will automatically scale horizontally and support distributed transactions natively for all microservices.
C. By default, OCI ensures that all distributed containerized microservices automatically share a single, global transaction state across different compartments without any application-level coding.
D. Cloud-native microservices must communicate using synchronous REST APIs exclusively, as asynchronous event-driven communication is not supported within OCI.
E. Implementing microservices requires adopting eventual consistency patterns, such as the Saga pattern, because distributed databases cannot easily maintain synchronous transactions across service boundaries.

Answer: A,E

Explanation:
Oracle identifies distributed transaction consistency and observability as major concerns when moving from monoliths to microservices. The Saga pattern addresses cross-service business transactions by dividing them into local transactions and using events plus compensating actions, avoiding long-duration distributed locks.
Oracle also emphasizes unified observability for microservices, including metrics, logs, and traces, because failures become harder to diagnose when calls cross multiple networked services. OCI does not automatically create a global application transaction across compartments, Object Storage is not a transactional relational database replacement, and microservices are not restricted to synchronous REST communication. Oracle explicitly supports asynchronous messaging and event-driven designs for loose coupling. Therefore, A and B correctly describe realistic migration challenges and strategies.

NEW QUESTION # 39
What is the difference between blue/green and canary deployment strategies? (Choose the best answer.)

A. In blue/green, current applications are slowly replaced with new ones. In canary, both old and new applications are in production at the same time.
B. In blue/green, current applications are slowly replaced with new ones. In canary, the application Is deployed Incrementally to a select group of people.
C. In blue/green, both old and new applications are in production at the same time. In canary, the application Is deployed incrementally to a select group of people.
D. In blue/green, the application Is deployed In minor Increments to a select group of people. In canary, both old and new applications are simultaneously in production.

Answer: C

Explanation:
The correct answer is: In blue/green deployment, both old and new applications are in production at the same time. In canary deployment, the application is deployed incrementally to a select group of people. In a blue
/green deployment strategy, two identical environments, referred to as blue and green, are set up. The current production environment (blue) continues to serve live traffic while a new version of the application is deployed in the green environment. Once the new version is tested and deemed stable, traffic is routed from the blue environment to the green environment, making it the new production environment. This approach allows for a seamless switch between the old and new versions of the application. On the other hand, in a canary deployment strategy, the new version of the application is deployed incrementally to a small subset of users or a specific group. This allows for testing the new version in a real production environment while minimizing the impact of any potential issues. If the new version performs well and meets the desired criteria, it can be gradually rolled out to a larger audience or the entire user base. In summary, the main difference between blue/green and canary deployment strategies lies in how the deployment is managed. Blue/green involves simultaneous production of both old and new applications, while canary deployment focuses on incremental deployment to a select group of users.

NEW QUESTION # 40
Which OCI CLI command generates or merges the cluster configuration file required to authorize kubectl access to an OKE cluster?

A. oci ce cluster download-kubeconfig
B. oci ce cluster create-kubeconfig
C. oci ce cluster update-kubeconfig
D. oci ce cluster generate-kubeconfig

Answer: B

Explanation:
Oracle documents oci ce cluster create-kubeconfig as the OCI CLI operation used to create the Kubernetes configuration file required for access to an OKE cluster. The command accepts the cluster OCID through -- cluster-id and, by default, writes or updates $HOME/.kube/config. The resulting kubeconfig contains the cluster endpoint and the OCI CLI authentication mechanism that enables kubectl to obtain authentication tokens when communicating with the Kubernetes API server. Commands named update-kubeconfig, download-kubeconfig, and generate-kubeconfig are not valid OCI CLI subcommands for this operation.
Therefore, oci ce cluster create-kubeconfig is the documented command for establishing the local kubeconfig required to administer an OKE cluster through kubectl.

NEW QUESTION # 41
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