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Oracle 1z0-1084-26 Exam Syllabus Topics:

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

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Oracle Cloud Infrastructure Developer Professional 1z0-1084-26 Prüfungsfragen mit Lösungen (Q146-Q151):

146. Frage
Which resolution rule does an Oracle Cloud Infrastructure API Gateway apply when determining the routing target for an incoming request that matches multiple overlapping route paths within a deployment?

A. Alphabetical route order
B. First defined route
C. Shortest path match
D. Longest path match

Antwort: D

Begründung:
The Word source identifiesLongest path matchas the answer, meaning the more specific matching route takes precedence when a request could satisfy multiple path patterns. This is consistent with the general routing principle that more specific path patterns take precedence over broader prefixes. Oracle ' s current OCI API Gateway documentation confirms that deployment routes are defined using URL path patterns and that path parameters and wildcard segments can be used for matching requests to backends. However, the currently published OCI API Gateway pages retrieved for verification do not explicitly state a universal "longest path match" precedence rule for overlapping deployment routes. Therefore, C is the answer recorded in the supplied source, but this particular rule is not stated verbatim in the current OCI API Gateway documentation located during verification.

147. Frage
You are deploying a microservices-based application to an Oracle Cloud Infrastructure Container Engine for Kubernetes cluster running a modern Kubernetes release. You need to identify the underlying container runtime interface implementation that manages and runs your Open Container Initiative-compliant images within the worker nodes.
Which container runtime interface is utilized by the cluster for this purpose?

A. containerd
B. rkt runtime
C. CRI-O
D. Docker Engine

Antwort: C

Begründung:
OKE transitioned from Docker toCRI-Obeginning with Kubernetes 1.20.8. Oracle documents CRI-O as its Kubernetes Container Runtime Interface implementation for modern OKE worker nodes. CRI-O is purpose- built for Kubernetes and runs Open Container Initiative-compliant images, so existing Docker-format images remain usable even though Docker Engine itself is no longer the underlying Kubernetes runtime. Oracle ' s current OKE documentation continues to reference CRI-O on modern node pools, including current releases where runtime configuration changes can affect container behavior. containerd is common in other Kubernetes distributions but is not the runtime identified by Oracle for these OKE nodes. rkt is obsolete, and Docker Engine was used only by older OKE versions. Therefore, D is correct.

148. Frage
Which TWO statements are correct regarding Docker images and containers? (Choose two.)

A. A container can exist without an image but an image cannot exist without a container.
B. Writing and building a new Dockerfile is the only way you can create new Docker images.
C. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory.
D. Only one container can be spawned from a given image at a time.
E. An image is a collection of immutable layers whereas a container is a running instance of an image.

Antwort: C,E

Begründung:
Which TWO statements are correct regarding Docker images and containers? (Choose two.) Writing and building a new Dockerfile is the only way you can create new Docker images. A container can exist without an image but an image cannot exist without a container. Only one container can be spawned from a given image at a time. If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. (Correct) An image is a collection of immutable layers whereas a container is a running instance of an image. (Correct) ChatGPT The correct statements regarding Docker images and containers are: If multiple containers are spawned from the same image, then they all use the same copy of that image in memory. This statement is correct. When multiple containers are created from the same Docker image, they share the underlying layers of the image in memory. Each container has its own isolated filesystem and runtime environment, but they all use the same base image, which helps in efficient resource utilization. An image is a collection of immutable layers whereas a container is a running instance of an image. This statement is also correct. Docker images are composed of multiple layers, with each layer representing a specific change or addition to the previous layer. These layers are read-only and can be shared among multiple containers. On the other hand, a container is a lightweight and isolated runtime instance created from a specific image. It is a running process that has its own filesystem, network, and runtime configuration. The statements " Writing and building a new Dockerfile is the only way you can create new Docker images " and " A container can exist without an image but an image cannot exist without a container " are incorrect. Docker images can be created in various ways, including using Dockerfiles, importing from existing images, or pulling from registries. Additionally, a container requires an image to run, so an image must exist before a container can be created from it.

149. Frage
To enforce mutual TLS (mTLS) authentication for clients of your microservices, your team has chosen to leverage the Oracle Cloud Infrastructure (OCI) API Gateway service to create new API Deployments that will direct requests to your microservices. Which is NOT valid regarding the mTLS options in OCI API Gateway?

A. Custom CA or custom CA bundles can be added to your gateway ' s trust store ONLY if they already exist in the OCI Certificates service.
B. Adding a custom certificate authority (CA) or custom CA bundle to your gateway ' s trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name).
C. Once the mTLS request policy is enabled, ALL requests with valid certificates are routed to the backend unless you have defined one or more particular values (such as a domain name).
D. The mTLS request policy can only be enabled at the API deployment specification level, which then applies globally to ALL routes in that deployment.

Antwort: B

Begründung:
The correct answer is: " Adding a custom certificate authority (CA) or custom CA bundle to your gateway ' s trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name). " The statement that is NOT valid regarding the mTLS options in OCI API Gateway is: " Adding a custom certificate authority (CA) or custom CA bundle to your gateway ' s trust store for mTLS is optional unless you need to reject certificates that do not contain particular values (such as a domain name).
" In OCI API Gateway, adding a custom certificate authority (CA) or custom CA bundle to the gateway ' s trust store is not optional. It is a necessary step when configuring mTLS authentication. The trust store in the gateway is used to validate the client certificates presented during mTLS authentication. The other options listed are valid regarding the mTLS options in OCI API Gateway: Once the mTLS request policy is enabled, all requests with valid certificates are routed to the backend unless specific values (such as a domain name) are defined. This means that only requests with valid client certificates will be allowed to access the backend microservices. The mTLS request policy can only be enabled at the API deployment specification level, and it applies globally to all routes in that deployment. This ensures consistent mTLS authentication across all routes and endpoints in the API deployment. Custom CA or custom CA bundles can be added to the gateway ' s trust store, but only if they already exist in the OCI Certificates service. This allows you to include trusted CAs or CA bundles to validate client certificates during mTLS authentication.

150. Frage
What is the difference between continuous delivery and continuous deployment in the DevOps methodology?
(Choose the best answer.)

A. Continuous delivery utilizes automatic deployment to a development environment, whereas continuous deployment involves automatic deployment to a production environment.
B. Continuous delivery is a process that Initiates deployment manually, whereas continuous deployment is based on automating the deployment process.
C. Continuous delivery requires automatic linting, whereas continuous deployment testing must be run manually.
D. Continuous delivery involves automation of developer tasks, whereas continuous deployment involves manual operational tasks.

Antwort: A

Begründung:
The two correct differences between continuous delivery and continuous deployment in the DevOps lifecycle are: Continuous delivery is a process that initiates deployment manually, while continuous deployment is based on automating the deployment process. In continuous delivery, the software is ready for deployment, but the decision to deploy is made manually by a human. On the other hand, continuous deployment automates the deployment process, and once the software passes all the necessary tests and quality checks, it is automatically deployed without human intervention. Continuous delivery utilizes automatic deployment to a development environment, while continuous deployment involves automatic deployment to a production environment. In continuous delivery, the software is automatically deployed to a development or staging environment for further testing and validation. However, the actual deployment to the production environment is performed manually. In continuous deployment, the software is automatically deployed to the production environment, eliminating the need for manual intervention in the deployment process. These differences highlight the level of automation and human involvement in the deployment process between continuous delivery and continuous deployment approaches in the DevOps lifecycle.

151. Frage
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