1Z0-1111-25 New Test Camp | Latest Braindumps 1Z0-1111-25 Book
As what have been demonstrated in the records concerning the pass rate of our 1Z0-1111-25 free demo, our pass rate has kept the historical record of 98% to 99% from the very beginning of their foundation. Although at this moment, the pass rate of our 1Z0-1111-25 test torrent can be said to be the best compared with that of other exam tests, our experts all are never satisfied with the current results because they know the truth that only through steady progress can our 1Z0-1111-25 Preparation materials win a place in the field of 1Z0-1111-25 exam question making forever.
Oracle 1Z0-1111-25 Exam Syllabus Topics:
Topic
Details
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
>> 1Z0-1111-25 New Test Camp <<
1Z0-1111-25 New Test Camp | Latest Oracle Latest Braindumps 1Z0-1111-25 Book: Oracle Cloud Infrastructure 2025 Observability Professional
However, Real4dumps saves your money by offering 1Z0-1111-25 real questions at an affordable price. In addition, we offer up to 12 months of free 1Z0-1111-25 exam questions. This way you can save money even if 1Z0-1111-25 introduces fresh Oracle Cloud Infrastructure 2025 Observability Professional 1Z0-1111-25 exam updates. Purchase the Oracle 1Z0-1111-25 preparation material to get certified on the first attempt.
Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q14-Q19):
NEW QUESTION # 14
Choose two FluentD scenarios that apply when using continuous log collection with client-side processing. (Choose two.)
Answer: B,D
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 # 15
Which is an example of Log Sources in Logging Analytics?
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 # 16
Which two resources can be monitored by Stack Monitoring? (Choose two.)
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 # 17
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
Answer: A,B
Explanation:
The Observability Lakehouse in Operations Insights is a data repository for operational analytics:
Enables custom analytics (B): Supports trending (e.g., usage patterns), forecasting (e.g., resource needs), capacity planning, and workload profiling using advanced analytical tools, enhancing resource optimization.
Allows Oracle Enterprise Manager's data (D): Integrates operational data from Enterprise Manager (e.g., database metrics) for use cases like performance analysis and anomaly detection.
Why not A or C?
Statistical analysis of AI data (A): Too vague; Lakehouse focuses on operational data, not AI-specific stats.
Identifies future resource usage (C): Partial benefit of B, but not a standalone feature.
These capabilities improve operational decision-making.
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: 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.
NEW QUESTION # 19
......
We guarantee that if you study our 1Z0-1111-25 guide materials with dedication and enthusiasm step by step, you will desperately pass the exam without doubt. As the authoritative provider of study materials, we are always in pursuit of high pass rate of 1Z0-1111-25 practice test compared with our counterparts to gain more attention from potential customers. Otherwise if you fail to pass the exam unfortunately with our 1Z0-1111-25 Study Materials, we will full refund the products cost to you soon. Our 1Z0-1111-25 study torrent will be more attractive and marvelous with high pass rate.
Latest Braindumps 1Z0-1111-25 Book: https://www.real4dumps.com/1Z0-1111-25_examcollection.html
