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| Topic |
Details |
| Topic 1 |
- Centrally Manage and Visualize Log Data: This section assesses the abilities of Logging Analysts and Security Engineers in managing logs across an entire IT environment. It includes enabling log collection, creating connectors for log transitions, identifying log patterns, and visualizing logs for advanced analytics using OCI Logging Service.
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| Topic 2 |
- Summarize OCI Observability and Management Services: This section evaluates the expertise of DevOps Engineers and IT Operations Managers in utilizing Oracle Cloud Infrastructure (OCI) Observability and Management services. It covers tools for monitoring, auditing, and managing cloud resources, emphasizing automation and machine learning-driven insights to optimize IT operations.
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| Topic 3 |
- Define the Pillars of Observability: This section of the exam measures the skills of Cloud Architects and Site Reliability Engineers (SREs) in understanding the three pillars of observability: logs, metrics, and traces. It explains how these components provide insights into system health and performance, enabling effective monitoring and troubleshooting in distributed cloud environments.
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| Topic 4 |
- Distinguish the Key Concepts of Logging Analytics: This section evaluates the expertise of Data Analysts and Troubleshooting Specialists in using OCI Logging Analytics. It covers log ingestion methods, searching and filtering logs, performing advanced analytics, and leveraging machine learning-powered insights for proactive issue resolution.
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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q33-Q38):
NEW QUESTION # 33
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)
- A. Use specific keywords
- B. Use time-picker to limit the volume of logs
- C. Use histogram records
- D. Use parsed logs search
Answer: B,D
Explanation:
Reducing noise in Logging Analytics improves log analysis focus:
Use parsed logs search (C): Searches based on extracted fields (e.g., severity=ERROR) filter out irrelevant logs, targeting specific issues.
Use time-picker to limit the volume of logs (D): Narrows the time range (e.g., last hour), reducing the dataset to relevant periods.
Why not A or B?
Histogram records (A): Visualizes data distribution, not a noise reduction method.
Specific keywords (B): Useful but less precise than parsed fields; raw text search isn't emphasized in Logging Analytics.
These methods enhance signal-to-noise ratio.
NEW QUESTION # 34
Which answer best defines an Application Performance Monitoring (APM) Domain in Oracle Cloud Infrastructure (OCI)?
- A. A collection of users, roles, and identity data managing access to APM
- B. A compartment containing the data collected by APM
- C. A resource type containing the systems monitored by APM
- D. A set of resources supporting high-availability connectivity to APM
Answer: C
Explanation:
An APM Domain in OCI defines the monitoring scope for APM:
A resource type containing the systems monitored by APM (B): An APM Domain is a logical container for monitored systems (e.g., microservices, web servers, databases). It groups these resources for trace and metric collection, often separated by environment (e.g., dev, prod).
Why not A, C, or D?
Users, roles, identity (A): Relates to IAM, not APM Domains.
High-availability connectivity (C): Infrastructure concern, not an APM Domain's purpose.
Compartment (D): Compartments organize resources; APM Domains are specific to monitored systems within them.
APM Domains structure monitoring efforts effectively.
NEW QUESTION # 35
Which pillars of Observability are available as a single view from the Dashboard?
- A. Logs, Metrics, and Traces
- B. Log data, Query language, Dashboard widgets
- C. Logging Analytics, Database Management, Stack Monitoring
- D. Compute, Storage, and Network
Answer: A
NEW QUESTION # 36
Which two are use cases of Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)
- A. Migrate Events generated by OCI resources from a Source to Target services
- B. Perform configuration management for deploying, configuring, and managing servers
- C. Process files when they are uploaded in an Object Storage bucket
- D. Perform cleanup tasks when an OCI resource is terminated
Answer: C,D
Explanation:
The OCI Events Service enables event-driven automation by reacting to changes in OCI resources. Two valid use cases are:
Process files when they are uploaded in an Object Storage bucket (A): You can create an event rule to trigger an action (e.g., invoking an Oracle Function) when an object is created (com.oraclecloud.objectstorage.createobject). The function could process the file (e.g., image resizing).
Perform cleanup tasks when an OCI resource is terminated (B): An event rule can detect resource termination (e.g., com.oraclecloud.computeapi.terminateinstance.end) and trigger a function to clean up associated resources (e.g., delete volumes).
Why not C or D?
Migrate Events (C): Events Service doesn't "migrate" events; it triggers actions. Migration is more aligned with Service Connector Hub.
Configuration management (D): This is handled by services like Resource Manager or Ansible, not Events Service.
These use cases showcase the service's ability to automate workflows based on resource state changes.
NEW QUESTION # 37
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
- A. Climbing
- B. Degraded
- C. Plan changes
- D. Efficient
Answer: B,C
Explanation:
SQL Warehouse in Operations Insights categorizes SQL performance:
Degraded (A): SQL statements with declining performance over time (e.g., increased latency), indicating potential issues.
Plan changes (C): SQL statements with altered execution plans, impacting performance or resource use.
Why not B or D?
Climbing (B): Not a standard category; possibly a misnomer.
Efficient (D): Positive performance isn't a focus category.
These help identify and resolve SQL issues.
NEW QUESTION # 38
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