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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor cloud environments with metrics and alarms | 18% | - Explain the key concepts of Monitoring Service - Discuss enabling Metrics for monitoring OCI resources - Configure Alarm Definitions using best practices |
| Topic 2: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| 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: Identify log data patterns and create visualizations for advanced analytics | 22% | - Distinguish the key concepts of Logging Analytics - Analyze, search, filter and visualize logs - Explore log ingestion methods for Logging Analytics - Present advanced analytics and features for troubleshooting |
| Topic 5: Respond to cloud resource changes in real-time | 10% | - Determine Event Structure, Event Types and Rules - Analyze the key concepts of Events Service - Respond to Events and integration with OCI services |
| Topic 6: Monitor distributed components of an application stack | 7% | - Analyze discovering resources and monitoring with metrics - Identify the key concepts of Stack Monitoring |
| Topic 7: Monitor applications with deep visibility into end-user experience | 20% | - Examine visualizing and analyzing performance data - Instrument applications for data collection - Explore the key concepts of Application Performance Monitoring (APM) |
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NEW QUESTION # 29
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: D
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 # 30
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: A
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 # 31
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
Answer: B,D
Explanation:
A Log Source in Logging Analytics defines how logs are collected and processed:
* Which Parsers to use (A): Specifies the parsers (e.g., Syslog, JSON) that extract fields from logs, enabling structured analysis.
* Where to find Logs (C): Defines the log location (e.g., file path /var/log/messages, database connection string), directing the collection process.
* Why not B or D?
* Where to store Log data (B): Storage is managed by Logging Analytics, not defined in the Source.
* Which Management Agents to use (D): Agents are associated with Entities, not specified in the Source.
These elements configure log ingestion effectively.
Reference: Logging Analytics Log Sources
NEW QUESTION # 32
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)
Answer: C,D
Explanation:
Database Management Service provides advanced database oversight:
* Compare database performance across different time periods or perform real-time monitoring of SQL statements (C): Uses Performance Hub for historical and real-time SQL monitoring.
* Analyze and tune SQL performance issues of Oracle Databases on-premises, OCI, and multi-cloud environments (D): Offers SQL tuning across diverse deployments.
* Why not A or B?
* A and B: Capacity forecasting is an Operations Insights feature, not Database Management.
These actions enhance database performance management.
Reference: Database Management Capabilities
NEW QUESTION # 33
Which two future resource usages are identified by Exadata Warehouse Insights custom analytics under Operations Insights? (Choose two.)
Answer: B,C
Explanation:
Exadata Warehouse Insights in OCI Operations Insights provides advanced analytics to forecast resource usage for Exadata systems.
* Memory (A): Tracks and predicts memory utilization based on historical trends, aiding capacity planning.
* CPU (D): Forecasts CPU usage, helping identify potential bottlenecks or over-provisioning.
* Why not B or C?
* Network usage (B): While monitored, it's not a primary focus of Exadata Warehouse Insights' future usage predictions.
* AIOps (C): This is a methodology, not a resource usage metric.
These forecasts leverage historical data and what-if analysis for proactive management.
Reference: Exadata Warehouse Insights
NEW QUESTION # 34
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