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Oracle 1z0-1084-26 Exam Syllabus Topics:

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

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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q113-Q118):

NEW QUESTION # 113
Which statement is NOT valid regarding testing methodologies for cloud native applications?

A. Performance testing evaluates system responsiveness under concurrent workloads to identify potential resource bottlenecks.
B. Integration testing is conducted exclusively on isolated local workstations and does not validate network-based communications.
C. API mocking allows developers to validate a service ' s logic by simulating the behavior of dependent microservices that are offline.
D. Unit testing focuses on validating individual blocks of code in complete isolation from database and external API dependencies.

Answer: B

Explanation:
Statement D is NOT valid. Oracle ' s cloud application architecture guidance explicitly describes integration testing as validating interactions and data flow between components, modules, and services. In a cloud-native architecture, those interactions commonly occur through network-based APIs, service endpoints, databases, and messaging systems. Oracle recommends test environments that resemble production rather than restricting integration testing to isolated developer workstations. Unit testing does focus on individual units of code and typically isolates dependencies. API mocking can emulate unavailable dependent services, while performance testing evaluates responsiveness, scalability, and stability under varying workloads such as load and stress conditions. Therefore, the claim that integration testing is exclusively local and does not validate network communication contradicts the actual purpose of integration testing.

NEW QUESTION # 114
You deployed a Python application to an Oracle Container Engine for Kubernetes (OKE) cluster. However, while testing you found a bug, which you rectified and then created a new Docker image. You now need to ensure that if this new image does not work once deployed, you should be able to roll back to the previous version. Using kubect1, which strategy should you use?

A. Blue/Green Deployment
B. Canary Deployment
C. Rolling Update
D. A/B Testing

Answer: C

Explanation:
A rolling update is a deployment strategy that gradually replaces the old version of an application with the new version without any downtime4. OKE supports rolling updates by using the kubectl rollout command4. A rolling update allows you to roll back to the previous version if something goes wrong with the new version4.
Therefore, using a rolling update strategy with kubectl ensures that you can roll back to the previous version of your Python application if the new image does not work once deployed.Verified References: Deploy Oracle Container Engine for Kubernetes

NEW QUESTION # 115
Which command is used to get a Docker image from Oracle Cloud Infrastructure Registry (OCIR) to the client machine?

A. docker fetch < region-key > .ocir.io/ < tenancy-namespace > / < repo-name > : < tag >
B. docker pull < region-key > .ocir.io/ < tenancy-namespace > / < repo-name > : < tag >
C. docker fetch < tenancy-namespace > / < region-key > .ocir.io/ < repo-name > : < tag >
D. docker pull < tenancy-namespace > / < region-key > .ocir.io/ < repo-name > : < tag >

Answer: B

Explanation:
To pull a Docker image from OCI Registry to the client machine, you need to use the docker pull command with the following syntax1: docker pull < region-key > .ocir.io/ < tenancy-namespace > / < repo-name > : < tag > where:
* < region-key > is the key for the OCI Registry region you're using. For example, iad. See Availability by Region1.
* ocir.io is the OCI Registry name.
* < tenancy-namespace > is the auto-generated Object Storage namespace string of the tenancy that owns the repository from which you want to pull the image (as shown on the Tenancy Information page)1.
* < repo-name > is the name of the repository that contains the image you want to pull.
* < tag > is the tag of the image you want to pull.

NEW QUESTION # 116
Which OCI CLI command generates or merges the cluster configuration file required to authorize kubectl access to an OKE cluster?

A. oci ce cluster generate-kubeconfig
B. oci ce cluster create-kubeconfig
C. oci ce cluster download-kubeconfig
D. oci ce cluster update-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 # 117
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 number of delivery attempts before a message is transferred to a dead letter queue is configurable to values from 1 to 20.
C. The maximum payload size of a single message published to an Oracle Cloud Infrastructure (OCI) Queue can be configured up to 1 MB.
D. 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.

Answer: C

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 # 118
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