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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Testing and Securing Cloud Native Applications | 13% | - Cloud Native Security
|
| Topic 2: Cloud Native Applications and Containerization | 33% | - Oracle Kubernetes Engine
|
| Topic 3: Cloud Native Fundamentals | 11% | - Cloud Native Principles
|
| Topic 4: Leveraging Serverless Technologies for Cloud Native Development | 33% | - OCI Events
|
| Topic 5: Monitoring & Troubleshooting Cloud Native Applications | 10% | - Monitoring, Logging, and Tracing
|
>> 1z0-1084-26 Lab Questions <<
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NEW QUESTION # 144
You are deploying a serverless data integration pipeline where an OCI Function needs to consume real-time events from an OCI Stream in the prod-compartment compartment. Your corporate security policy mandates strict least-privilege access, meaning the function must only be permitted to consume (pull) messages, with absolutely no capability to publish (push) messages to the stream. Which TWO configurations are required to establish this granular authorization using a Dynamic Group named analytics-function-dg?
Answer: B,D
Explanation:
Oracle Streaming exposes separate IAM resource types for producers and consumers. Granting use stream- pull provides STREAM_CONSUME, covering operations such as GetMessages, CreateCursor, group cursors, heartbeats, and commits without granting STREAM_PRODUCE. Granting use streams would be broader because that resource type includes both production and consumption capabilities. Oracle Functions can be placed in a dynamic group with a rule using resource.type = ' fnfunc ' together with the Function ' s compartment OCID. compute would not match an Oracle Function resource, and stream-push provides the opposite permission by allowing message publication. Therefore, A establishes consume-only Streaming permission while C correctly associates the Functions resources with the dynamic group.
NEW QUESTION # 145
Which is ONE of the differences between a microservice and a serverless function?
Answer: A
Explanation:
The correct answer is: Microservices are used for long running operations while serverless functions are used for short running operations. One of the key differences between microservices and serverless functions is the duration of their execution. Microservices are typically designed to handle long-running operations and may continuously run and process requests as part of a larger system. They are often deployed and managed as long-lived services. On the other hand, serverless functions are designed to handle short-lived operations or tasks that execute in response to specific events or triggers. They are event-driven and execute only when invoked, providing a lightweight and ephemeral computing model. Serverless functions are often used for executing small, isolated pieces of code without the need for managing infrastructure or scaling concerns.
While both microservices and serverless functions can be stateless or stateful depending on the specific implementation, the key distinction lies in the typical duration and execution pattern of these components within an application architecture.
NEW QUESTION # 146
You have developed a cloud-native application on OCI, and you need to enable diagnostic logging for an OCI API Gateway deployment and a backend Oracle Function. Corporate compliance mandates that both the gateway activity and the function execution logs must be collected and stored in separate centralized log resources under a common log group named AppLoggingGroup.
Which TWO configuration steps must you perform within the OCI Logging service to satisfy these requirements?
Answer: D,E
Explanation:
API Gateway and Oracle Functions are OCI-managed services with native integration into OCI Logging, so their diagnostic output is collected throughservice logs, not host-based custom-log agent configurations.
Oracle ' s Service Log Reference explicitly includes both API Gateway and Functions. For Functions, Oracle ' s current CLI example creates a SERVICE log whose source resource is the Function application and whose category is invoke. API Gateway likewise exposes service logging for gateway/deployment activity. Both log resources can be placed in the same organizational log group while remaining separate log objects, satisfying the compliance requirement. Logging agents and custom logs are intended primarily for files produced on managed hosts or applications, not for these managed OCI service sources. Therefore, C and D are correct.
NEW QUESTION # 147
Your company has recently deployed a new web application that uses Oracle Functions. Your manager instructs you to implement monitoring metrics to manage your systems more effectively. You know that Oracle Functions automatically monitors functions on your behalf and reports metrics via Oracle Cloud Infrastructure (OCI) Monitoring. Which TWO metrics are collected and made available by this feature?
(Choose two.)
Answer: A,B
Explanation:
The correct answers are: Amount of RAM used by a function: Oracle Functions collects and reports the amount of memory (RAM) used by a function during its execution. This metric helps in monitoring and optimizing the resource consumption of functions. Length of time a function runs: Oracle Functions captures and provides the duration of function executions. This metric allows you to track the performance and responsiveness of your functions and identify any potential bottlenecks or delays. These metrics provide valuable insights into the resource utilization and performance of your functions, enabling you to monitor and optimize their behavior in the Oracle Cloud Infrastructure (OCI) environment.
NEW QUESTION # 148
Which term describes an individual set of aggregated data for a metric with zero or more dimension values in the Oracle Cloud Infrastructure (OCI) Monitoring service?
Answer: B
Explanation:
Oracle Monitoring formally defines ametric streamas an individual set of aggregated data for a metric with zero or more dimension values. Different dimension combinations create distinct streams. For example, CPU utilization emitted for two separate Compute instance OCIDs can constitute two separate metric streams because the resourceId dimension differs. A metric namespace identifies the service or application emitting the metrics, such as oci_computeagent. A datapoint is an individual timestamped value within a metric stream. Oracle also uses the term metric group for limit calculations, defining it as the combination of a metric, namespace, and tenancy; that is different from the dimension-specific time-series data described in the question. Therefore, option A exactly matches Oracle ' s documented Monitoring terminology.
NEW QUESTION # 149
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