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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q20-Q25):

NEW QUESTION # 20
Which response contains rich information to process for analytics?

A. Log Sources
B. Logging Analytic Entities
C. Entity types
D. Database Audit Logs

Answer: D

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.

NEW QUESTION # 21
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?

A. You must specify a statistic.
B. You must specify a metric.
C. You must specify an interval.
D. You must specify a resource group.

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.

NEW QUESTION # 22
Which two resources can be monitored by Stack Monitoring? (Choose two.)

A. Object Storage Buckets
B. Oracle External Databases
C. Virtual Cloud Networks
D. WebLogic Servers

Answer: B,D

Explanation:
Stack Monitoring tracks application stack components:
WebLogic Servers (B): Monitors performance and health of WebLogic instances.
Oracle External Databases (C): Tracks on-premises or cloud Oracle databases outside OCI's native DBaaS.
Why not A or D?
Object Storage Buckets (A): Not supported by Stack Monitoring; use Logging instead.
Virtual Cloud Networks (D): Network monitoring is separate (e.g., VCN Flow Logs).
These align with Stack Monitoring's focus on application stacks.

NEW QUESTION # 23
Which of the following is not a key interaction element in the Log Explorer UI of Logging Analytics?

A. Scope Filter
B. Fields Panel
C. Time Picker
D. Dashboard

Answer: D

Explanation:
The Log Explorer UI in OCI Logging Analytics includes four key interaction elements: Fields Panel, Time Picker, Scope Filter, and Results Panel. These allow users to search, filter, and analyze logs interactively.
Dashboard (D): This is not part of the Log Explorer UI. Dashboards are separate visualizations in Logging Analytics for summarizing data, not an interactive element of the Log Explorer.
Why A, B, and C are key elements:
Fields Panel (A): Displays log fields for filtering and analysis.
Time Picker (B): Sets the time range for log queries.
Scope Filter (C): Defines the scope (e.g., compartments, log groups) of the log search.

NEW QUESTION # 24
Which is an example of Log Sources in Logging Analytics?

A. JSON, XML, CSV files
B. Windows Events, Syslog Listener, and Database SQL parsers
C. Long, Integer, String fields
D. File, Database, Windows Events System, Syslogs

Answer: B

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 # 25
......

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Actual Oracle 1Z0-1111-25 Exam Questions in PDF

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q20-Q25):

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