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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify log data patterns and create visualizations for advanced analytics | 22% | - Perform advanced log analytics and troubleshooting - Search, filter and visualize log data - Use Logging Analytics for log ingestion and analysis |
| Topic 2: 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 3: Monitor distributed components of an application stack | 7% | - Analyze infrastructure and application metrics - Use Stack Monitoring - Discover and monitor distributed application components |
| Topic 4: Centrally manage and visualize log data | 16% | - Configure logging and log connectors - Collect, search and analyze log data - Manage logs using OCI Logging |
| Topic 5: Monitor applications with deep visibility into end-user experience | 20% | - Analyze application performance and end-user experience - Use Application Performance Monitoring - Configure application instrumentation and data collection |
| Topic 6: Monitor cloud environments with metrics and alarms | 18% | - Discuss enabling Metrics for monitoring OCI resources - Explain the key concepts of Monitoring Service - Configure Alarm Definitions using best practices |
| Topic 7: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
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NEW QUESTION # 10
From the following, select the different metric namespaces used for APM.
Answer: D
Explanation:
APM uses specific metric namespaces to categorize its telemetry data:
* oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring (D):
* oracle_apm_rum: Metrics from Real User Monitoring (e.g., page load times).
* oracle_apm_synthetics: Metrics from Synthetic Monitoring (e.g., test response times).
* oracle_apm_monitoring: Metrics from distributed tracing (e.g., span counts). These namespaces align with APM's three core features.
* Why not A, B, or C?
* A: Individual metric names, not namespaces.
* B: Incomplete and incorrect namespace naming.
* C: Mixes metric types with partial namespace names.
These namespaces enable targeted metric queries in OCI Monitoring.
Reference: APM Metrics
NEW QUESTION # 11
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: B
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 # 12
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?
Answer: B
Explanation:
The performance management feature in Database Management leverages AWR data:
* Visualizes and performs trend analysis from AWR data to detect issues using AWR Explorer (B): AWR Explorer displays Automatic Workload Repository data, enabling trend analysis and issue detection (e.
g., performance bottlenecks).
* Why not A or C?
* A: Stats gathering is manual or scheduled, not automatic in this context.
* C: Parameter changes require user intervention, not dynamic automation.
AWR Explorer is key for performance insights.
Reference: AWR Explorer
NEW QUESTION # 13
Which of the following features of Logging Analytics is used for identifying and tagging problem logs during ingestion time?
Answer: C
Explanation:
In OCI Logging Analytics, Labels enhance log analysis by tagging specific records:
* Labels (B): Predefined tags applied during ingestion based on conditions (e.g., "Error" for logs with
"error" or "exception"). Labels help categorize and filter problem logs for easier searching and troubleshooting.
* Why not A, C, or D?
* Entity Type (A): Defines the resource type (e.g., host), not a tagging mechanism.
* Log Origin (C): Metadata about log source, not for problem identification.
* Extended Fields (D): Custom fields extracted post-ingestion, not tags applied during ingestion.
Labels streamline issue detection at the ingestion stage.
Reference: Logging Analytics Labels
NEW QUESTION # 14
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)
Answer: B,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 # 15
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