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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q27-Q32):
NEW QUESTION # 27
Which is an example of Log Sources in Logging Analytics?
- A. Long, Integer, String fields
- B. JSON, XML, CSV files
- C. File, Database, Windows Events System, Syslogs
- D. Windows Events, Syslog Listener, and Database SQL parsers
Answer: D
Explanation:
In OCI Logging Analytics, Log Sources are predefined parsers that extract fields from specific types of log data, enabling structured analysis.
Windows Events, Syslog Listener, and Database SQL parsers (B): These are examples of Log Sources in Logging Analytics. Each represents a specific log type with a predefined parser:
Windows Events: Parses event logs from Windows systems (e.g., security, application logs).
Syslog Listener: Handles logs in the Syslog format, common in Unix-based systems or network devices.
Database SQL parsers: Extracts fields from database logs (e.g., Oracle Database audit logs).
These sources come with built-in field mappings and labels for analysis.
Why not A, C, or D?
Long, Integer, String fields (A): These are data types, not Log Sources.
File, Database, Windows Events System, Syslogs (C): While close, this mixes log locations (e.g., File, Database) with source types and isn't a precise match to predefined Log Sources.
JSON, XML, CSV files (D): These are file formats, not Log Sources; Logging Analytics can parse them but they're not predefined sources.
Log Sources streamline log ingestion by providing out-of-the-box parsing for common log types.
NEW QUESTION # 28
Which are the two components that the Management Agent solution includes in the Cloud service? (Choose two.)
- A. Management Gateway
- B. OCI Logging Analytics
- C. Management Agent
- D. Cloud assets
Answer: A,C
Explanation:
The Management Agent solution comprises:
Management Gateway (B): A secure proxy that encrypts and forwards data from Management Agents to OCI services.
Management Agent (D): A lightweight process that collects and sends telemetry data from resources.
Why not A or C?
OCI Logging Analytics (A): A consumer of agent data, not a component of the solution.
Cloud assets (C): A vague term, not a specific component.
These components enable secure data collection.
NEW QUESTION # 29
Choose two FluentD scenarios that apply when using continuous log collection with client-side processing. (Choose two.)
- A. Managing apps/services which push logs to Object Storage
- B. Comprehensive monitoring for OKE/Kubernetes
- C. Monitoring systems that are not currently supported by Management Agent
- D. Log Source
Answer: A,B
Explanation:
FluentD is an open-source data collector used for continuous log collection with client-side processing in OCI Logging. Two applicable scenarios are:
Managing apps/services which push logs to Object Storage (A): FluentD can be configured to collect logs from applications or services (e.g., Oracle Functions) that write logs to Object Storage buckets. It processes these logs client-side and forwards them to OCI Logging or Logging Analytics.
Comprehensive monitoring for OKE/Kubernetes (B): FluentD is widely used in Kubernetes environments like Oracle Container Engine for Kubernetes (OKE) to collect logs from pods, containers, and nodes. It processes these logs locally before sending them to OCI services for analysis.
Why not C or D?
Monitoring unsupported systems (C): While possible, this is not a primary FluentD scenario in OCI-it's more about extending Management Agent capabilities.
Log Source (D): This is a component of Logging Analytics, not a FluentD scenario.
FluentD's flexibility makes it ideal for these use cases in OCI's observability ecosystem.
NEW QUESTION # 30
What are the two items required to create a rule for the Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)
- A. Install Key
- B. Rule Conditions
- C. Actions
- D. Management Agent Cloud Service
- E. Service Connector
Answer: B,C
Explanation:
To create a rule in the OCI Events Service, you need to define what triggers the rule and what happens when it's triggered. The two required components are:
Actions (B): These specify the tasks to perform when an event matches the rule (e.g., invoking a function, sending a notification, or streaming to a service). Without an action, the rule has no effect.
Rule Conditions (C): These define the criteria for matching events (e.g., event type like com.oraclecloud.computeapi.launchinstance.end or resource attributes). Conditions filter which events trigger the rule.
Why not A, D, or E?
Management Agent Cloud Service (A): This is unrelated to Events Service rules; it's for monitoring resources.
Install Key (D): This is used for agent installation, not event rules.
Service Connector (E): While it can work with Events Service, it's a separate service and not a required component of an event rule itself.
These two elements form the core of an OCI Events Service rule, enabling event-driven automation.
NEW QUESTION # 31
What is the purpose of using Resolution in a Monitoring Query Language expression?
- A. Resolution automatically resolves the alarm which is Firing state
- B. Resolution is used with suppression to pause alarm during system maintenance
- C. Resolution controls the total length of each time window
- D. Resolution defines the start time of each time window
Answer: C
Explanation:
In OCI Monitoring's Monitoring Query Language (MQL), Resolution affects data aggregation:
Resolution controls the total length of each time window (A): It specifies the time interval (e.g., 1m for 1 minute) over which metric data is aggregated (e.g., averaged, summed), determining query granularity.
Why not B, C, or D?
B: Start time is set by the query's time range, not Resolution.
C: Resolution doesn't affect alarm states; that's a separate mechanism.
D: Suppression is an alarm feature, unrelated to Resolution.
Resolution fine-tunes metric analysis precision.
NEW QUESTION # 32
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