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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor distributed components of an application stack | 7% | - Identify the key concepts of Stack Monitoring - Analyze discovering resources and monitoring with metrics |
| Topic 2: Identify log data patterns and create visualizations for advanced analytics | 22% | - Present advanced analytics and features for troubleshooting - Analyze, search, filter and visualize logs - Distinguish the key concepts of Logging Analytics - Explore log ingestion methods for Logging Analytics |
| Topic 3: Centrally manage and visualize log data | 16% | - Explore managing and searching logs from the entire log estate - Create Connectors for Log Transitions - Distinguish log categories and enable log collection from sources |
| Topic 4: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 5: Monitor applications with deep visibility into end-user experience | 20% | - Explore the key concepts of Application Performance Monitoring (APM) - Instrument applications for data collection - Examine visualizing and analyzing performance data |
| Topic 6: Monitor cloud environments with metrics and alarms | 18% | - Configure Alarm Definitions using best practices - Discuss enabling Metrics for monitoring OCI resources - Explain the key concepts of Monitoring Service |
| Topic 7: Respond to cloud resource changes in real-time | 10% | - Analyze the key concepts of Events Service - Determine Event Structure, Event Types and Rules - Respond to Events and integration with OCI services |
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NEW QUESTION # 16
What are the two capabilities available in Operations Insights? (Choose two.)
Answer: B,D
Explanation:
Operations Insights provides:
* Capacity Planning (A): Forecasts resource needs based on historical trends and scenarios.
* Exadata Insights (D): Analyzes Exadata system performance and capacity.
* Why not B or C?
* Database Fleet Monitoring (B): A goal, not a named capability; covered under broader features.
* Entity Topology Viewing (C): More aligned with Stack Monitoring, not Operations Insights.
These capabilities optimize resource management.
Reference: Operations Insights Overview
NEW QUESTION # 17
Your team has been tasked with debugging a Cloud Native application developed using the following Oracle Cloud Infrastructure (OCI) services: Object Storage, Events, Functions, API Gateway, and Autonomous Database. Which of these is NOT a valid option for troubleshooting issues in OCI?
Answer: B
Explanation:
Troubleshooting a cloud-native app leverages OCI observability tools:
* Invalid: Leverage OCI Cloud Guard to extract and visualize debug logs (D): Cloud Guard is a security posture management and threat detection service, not designed for extracting or visualizing application debug logs.
* Why A, B, C, and E are valid:
* A: Monitoring provides service metrics (e.g., Function invocation latency).
* B: Service Connector moves logs to Logging Analytics for analysis.
* C: APM traces Functions performance issues.
* E: Logging Service collects app logs directly.
Cloud Guard focuses on security, not debugging.
Reference: Cloud Guard
NEW QUESTION # 18
You have been asked to run an aggregated query against Oracle Cloud Infrastructure Monitoring data. The query returns the error "query has exceeded the maximum number of metric streams." Which step should you take to run the aggregated query correctly?
Answer: A
Explanation:
This error occurs when a Monitoring query evaluates more metric streams than the service permits.
Dimensions identify characteristics of individual streams, such as resource ID, availability domain, fault domain, or resource display name. Adding appropriate dimension filters narrows the query and reduces the number of streams that must be evaluated. If every stream from the original request must still be analyzed, Oracle recommends distributing the workload across multiple queries. The limit cannot simply be increased from the query, and OCI Monitoring does support aggregation across eligible metric streams. An IAM problem normally produces an authorization error rather than a maximum-stream error, so changing or rechecking the policy does not address this condition. The appropriate corrective action is therefore to restrict the evaluated streams by specifying dimensions. Oracle documentation
NEW QUESTION # 19
Which response contains rich information to process for analytics?
Answer: C
Explanation:
For analytics, the data source must provide detailed, actionable information.
* Database Audit Logs (C): These logs contain rich data like user actions, SQL queries, timestamps, and security events, making them ideal for performance, security, and compliance analysis in Logging Analytics.
* Why not A, B, or D?
* Entity types (A): These are metadata definitions, not data for analytics.
* Log Sources (B): These are configurations for log parsing, not the logs themselves.
* Logging Analytic Entities (D): Entities are resource representations, not the data content.
Database Audit Logs offer the depth needed for meaningful insights.
Reference: Logging Analytics Data
NEW QUESTION # 20
You are working on a project to automate the deployment of Oracle Cloud Infrastructure (OCI) compute instances that are pre-configured with web services. As part of the deployment workflow, you also need to create a corresponding OCI object storage bucket bearing the same name as that of the compute instance.
Which of these two options can help you achieve this requirement? (Choose two.)
Answer: B,D
Explanation:
To automate the creation of an OCI Object Storage bucket with the same name as a compute instance during deployment, you need a mechanism to detect the instance creation event and trigger an action to create the bucket. Two OCI services that can achieve this are Service Connector Hub and Oracle Functions, used in conjunction with the Events Service.
* Service Connector Hub (B): This service acts as a cloud message bus that facilitates data movement between OCI services. You can configure a service connector with the Events Service as the source (to detect compute instance creation events, e.g., com.oraclecloud.computeapi.launchinstance.end) and Oracle Functions as the target. The service connector filters and routes the event to trigger a function.
* Oracle Functions (C): This is a serverless platform that allows you to write and execute code in response to events. You can create a function that retrieves the compute instance name from the event payload and uses the OCI SDK or API to create an Object Storage bucket with the same name.
* Why not A, D, or E alone?
* Cloud Agent Plugin (A): This is used for monitoring and managing compute instances but does not directly support bucket creation automation.
* OCI CLI command (D): The command oci os bucket create auto is not a valid OCI CLI command (oci os bucket create is valid but requires manual invocation or scripting, not event- driven automation).
* Events Service (E): While critical for detecting instance creation, it alone cannot execute the logic to create a bucket-it needs a target like Functions or Notifications.
This solution leverages the event-driven architecture of OCI, combining Events Service (implicitly used with Service Connector Hub) and Oracle Functions for execution.
Reference: OCI Events Service , Service Connector Hub , Oracle Functions
NEW QUESTION # 21
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