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Oracle 1z0-1084-26 Exam Syllabus Topics:

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

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Oracle Cloud Infrastructure Developer Professional Sample Questions (Q177-Q182):

NEW QUESTION # 177
Your DevOps team wants to configure a critical alert in OCI Monitoring for a payment gateway microservice application. The security architecture mandate requires that an alert must only fire if the average transaction latency exceeds 500 milliseconds over a sliding 15-minute interval. To avoid individual instance alerts, the query must aggregate all resource metrics within the target compartment together into a single unified stream before checking the threshold.
Which Monitoring Query Language (MQL) expression correctly satisfies all these requirements?

A. TransactionLatency[15m].grouping().mean() > 500
B. TransactionLatency[15m].groupBy(resourceId).mean() > 500
C. TransactionLatency[15m].filter(resourceId).mean() > 500
D. TransactionLatency[15m].absent().mean() > 500

Answer: A

Explanation:
In OCI Monitoring Query Language, grouping() aggregates multiple matching metric streams into a common result rather than retaining separate streams for individual resources. Oracle ' s documentation demonstrates this syntax with expressions such as IopsRead[1m]{...}.grouping().max(). Here, [15m] establishes the metric aggregation interval, .mean() calculates the average transaction latency, and > 500 supplies the alarm threshold. groupBy(resourceId) would preserve separate result streams by resource ID, which directly contradicts the requirement to evaluate all resource metrics as one unified stream. filter(resourceId) is not valid grouping syntax, and absent() is designed to detect missing metric data rather than evaluate latency values. Therefore, TransactionLatency[15m].grouping().mean() > 500 correctly implements the stated aggregation and threshold logic.

NEW QUESTION # 178
Which configuration parameter defines the duration a message remains inside an Oracle Cloud Infrastructure (OCI) Queue before being automatically deleted by the service if it is not consumed?

A. Polling timeout
B. Visibility timeout
C. Maximum delivery attempts
D. Maximum retention period

Answer: D

Explanation:
Themaximum retention perioddefines the total amount of time OCI Queue retains a message before automatically deleting it if a consumer has not removed it. Oracle currently allows this value to be configured from 10 seconds through seven days, with a default of one day. Visibility timeout serves a different purpose:
after a consumer retrieves a message, it temporarily hides that message from other consumers. Maximum delivery attempts controls how many unsuccessful delivery cycles can occur before a message is moved to the dead letter queue. Polling timeout determines how long a consumer request waits for messages to become available. Therefore, only the maximum retention period controls the overall lifetime of an unremoved message in OCI Queue.

NEW QUESTION # 179
Which concept in OCI Queue is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer?

A. Polling timeout
B. Visibility timeout
C. Delivery count
D. Maximum retention period

Answer: B

Explanation:
Visibility timeout is the concept in OCI Queue that is responsible for hiding a message from other consumers for a predefined amount of time after it has been delivered to a consumer1. The visibility timeout can be set at the queue level when creating a queue, or it can be specified when consuming or updating messages1. If a consumer is having difficulty successfully processing a message, it can update the message to extend its invisibility1. If a message's visibility timeout is not extended, and the consumer does not delete the message, it returns to the queue1.Verified References: Overview of Queue

NEW QUESTION # 180
Which statement is NOT valid regarding context variables used for dynamic backend routing in Oracle Cloud Infrastructure API Gateway?

A. The context variable request.query[ < key > ] can be used to dynamically select a backend based on the value of a specific query parameter in the incoming request.
B. The context variable request.headers[ < key > ] can be used to dynamically select a backend based on the value of a specific HTTP header in the incoming request.
C. The context variable request.auth[ < key > ] can be used to dynamically select a backend based on claims returned by an authorizer function or contained in a JWT.
D. The context variable request.body[ < key > ] can be used to dynamically select a backend based on parsing specific key-value fields from an incoming JSON payload.

Answer: D

Explanation:
Oracle API Gateway documents the context-variable selectors available for dynamic backend routing.
Supported selectors include request.auth[ < key > ], request.headers[ < key > ], request.host, request.path[ < key > ], request.query[ < key > ], request.subdomain[ < key > ], and usage-plan information. Therefore, headers, authentication claims, and query parameters can all participate directly in backend-selection rules.
Although API Gateway can expose the request body to amulti-argument authorizer function, Oracle does not list request.body[ < key > ] as a supported selector for dynamic backend routing. Its presence in that separate authorizer context does not make it a dynamic-routing selector capable of parsing arbitrary JSON fields.
Consequently, A, B, and C describe supported routing context variables, while D incorrectly extends the routing model to request-body key selection.

NEW QUESTION # 181
Which key pillar of cloud native development should be utilized when a development team needs to automate build, test, and release cycles to achieve rapid and reliable software delivery?

A. Serverless Computing
B. DevOps Principles
C. Microservices Architecture
D. Containerization

Answer: B

Explanation:
DevOps principles directly address automation across the software delivery lifecycle. Oracle describes DevOps as collaboration between development and operations teams aimed at continuous delivery, with automation applied throughout planning, coding, building, testing, releasing, deploying, operating, and monitoring. OCI specifically identifies CI/CD tooling for automating build, test, release, and deployment activities. Containerization provides consistent application packaging, microservices define an architectural decomposition model, and serverless computing removes much of the underlying infrastructure-management responsibility. None of those technologies by itself defines the automated delivery lifecycle requested in the question. Continuous Integration and Continuous Delivery are core DevOps practices that make software changes repeatable, testable, and deployable at high frequency while reducing manual intervention and release risk. Therefore, the correct cloud-native pillar is DevOps Principles.

NEW QUESTION # 182
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