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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor cloud environments with metrics and alarms | 18% | - Configure Alarm Definitions using best practices - Explain the key concepts of Monitoring Service - Discuss enabling Metrics for monitoring OCI resources |
| Topic 2: Centrally manage and visualize log data | 16% | - Manage logs using OCI Logging - Collect, search and analyze log data - Configure logging and log connectors |
| Topic 3: Monitor applications with deep visibility into end-user experience | 20% | - Use Application Performance Monitoring - Analyze application performance and end-user experience - Configure application instrumentation and data collection |
| Topic 4: Monitor distributed components of an application stack | 7% | - Analyze infrastructure and application metrics - Use Stack Monitoring - Discover and monitor distributed application components |
| Topic 5: Identify log data patterns and create visualizations for advanced analytics | 22% | - Search, filter and visualize log data - Perform advanced log analytics and troubleshooting - Use Logging Analytics for log ingestion and analysis |
| Topic 6: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 7: Respond to cloud resource changes in real-time | 10% | - Respond to Events and integration with OCI services - Determine Event Structure, Event Types and Rules - Analyze the key concepts of Events Service |
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NEW QUESTION # 15
Which is one of the primary use cases for the Oracle Cloud Infrastructure (OCI) Observability and Management (O & M) Logging Analytics service?
Answer: A
Explanation:
Logging Analytics is a core O & M service:
* Monitor, aggregate, index, and analyze log data (A): Collects logs from OCI and external sources, indexes them for search, and provides analytics (e.g., clustering) to monitor and troubleshoot systems.
* Why not B or C?
* B: Log centralization occurs, but "subscription model" isn't a feature.
* C: Resource creation is an Events Service use case, not Logging Analytics.
This is its primary observability role.
Reference: Logging Analytics Overview
NEW QUESTION # 16
Which two are examples of data telemetry sources of Operations Insights? (Choose two.)
Answer: B,C
Explanation:
Operations Insights collects telemetry data for analysis from:
* Management Agent (C): A lightweight process that gathers metrics (e.g., CPU, memory) from hosts, databases, or applications and sends them to Operations Insights.
* Enterprise Manager (D): An on-premises tool that provides database performance and configuration data to Operations Insights.
* Why not A or B?
* OCI Streams (A): A streaming service, not a telemetry source for Operations Insights.
* OCI Functions (B): Serverless compute, not a direct telemetry source.
These sources enable comprehensive resource monitoring.
Reference: Operations Insights Data Sources
NEW QUESTION # 17
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?
Answer: D
Explanation:
Creating an alarm query in OCI Monitoring involves MQL:
* Invalid: You must specify a resource group (D): Resource groups (e.g., groupBy(resourceId)) are optional for aggregating metrics across streams; alarms can function without them.
* Why A, B, and C are valid:
* A: A statistic (e.g., max, avg) is required to process metric data.
* B: An interval (e.g., [1m]) defines the time window, mandatory for evaluation.
* C: A metric (e.g., CpuUtilization) is the core of the query.
Resource groups enhance, but aren't required for, alarms.
Reference: MQL for Alarms
NEW QUESTION # 18
You are part of an organization with thousands of users accessing Oracle Cloud Infrastructure (OCI). An unknown user action was executed, resulting in configuration errors. You are tasked to quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed.
Which OCI service would you use?
Answer: E
Explanation:
To investigate user activity and REST API calls over the last six hours, the OCI Audit service is the appropriate tool.
* Audit (E): This service automatically records all API operations (including REST API calls) performed on OCI resources. It provides detailed logs with user details, timestamps, and actions, ideal for security and compliance investigations. You can filter audit logs by time range (e.g., last six hours) and user attributes.
* Why not A, B, C, or D?
* Notifications (A): Sends alerts but doesn't store or analyze API call details.
* Service Connectors (B): Moves data between services, not for auditing.
* Management Agent (C): Collects metrics/logs from resources, not API audit data.
* Logging (D): Handles application and system logs, not API activity tracking.
Audit logs are retained for 90 days by default, making this a perfect fit.
Reference: OCI Audit Service
NEW QUESTION # 19
How does Application Performance Monitoring track all related spans for a single user request?
Answer: B
Explanation:
APM tracks request flows using:
* Using Trace ID (A): A unique identifier assigned to a trace (collection of spans) for a single user request. Propagated via HTTP headers, it links all spans across services.
* Why not B or C?
* User ID (B): Identifies users, not request flows.
* Application Name (C): Too broad; doesn't correlate specific requests.
Trace ID ensures end-to-end visibility in distributed systems.
Reference: Traces and Spans
NEW QUESTION # 20
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