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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Centrally manage and visualize log data | 16% | - Distinguish log categories and enable log collection from sources - Create Connectors for Log Transitions - Explore managing and searching logs from the entire log estate |
| Topic 2: Monitor cloud environments with metrics and alarms | 18% | - Configure Alarm Definitions using best practices - Discuss enabling Metrics for monitoring OCI resources - Explain the key concepts of Monitoring Service |
| Topic 3: Monitor distributed components of an application stack | 7% | - Analyze discovering resources and monitoring with metrics - Identify the key concepts of Stack Monitoring |
| Topic 4: Respond to cloud resource changes in real-time | 10% | - Analyze the key concepts of Events Service - Respond to Events and integration with OCI services - Determine Event Structure, Event Types and Rules |
| Topic 5: Identify log data patterns and create visualizations for advanced analytics | 22% | - Distinguish the key concepts of Logging Analytics - Present advanced analytics and features for troubleshooting - Explore log ingestion methods for Logging Analytics - Analyze, search, filter and visualize logs |
| Topic 6: Monitor applications with deep visibility into end-user experience | 20% | - Instrument applications for data collection - Explore the key concepts of Application Performance Monitoring (APM) - Examine visualizing and analyzing performance data |
| Topic 7: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
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NEW QUESTION # 30
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
Answer: B,C
Explanation:
OCI APM uses specific agents for data collection:
* Java Agent (B): Attaches to Java applications to collect traces, metrics, and errors for APM.
* Browser Agent (D): A JavaScript snippet embedded in web pages to collect Real User Monitoring (RUM) data (e.g., page load times).
* Why not A or C?
* Management Agent (A): Used for Stack Monitoring/Operations Insights, not APM.
* Cloud Agent (C): Monitors compute instances, not an APM-specific agent.
These agents target application and user experience monitoring.
Reference: APM Agents
NEW QUESTION # 31
Which two are use cases of Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)
Answer: B,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.
Reference: Events Service Use Cases
NEW QUESTION # 32
In Application Performance Monitoring (APM), where is the span context information located during transfer?
Answer: A
Explanation:
In OCI APM, span context (e.g., Trace ID, Span ID) is propagated across services to track requests.
* In HTTP header (B): Span context is embedded in HTTP headers (e.g., X-B3-TraceId) during transfer between services. This allows APM to correlate spans across distributed systems for a single user request.
* Why not A, C, or D?
* Service boundaries (A): This is a conceptual term, not a location for data.
* HTTP call (C): Too vague-"HTTP call" isn't a specific storage location.
* Browser and microservices (D): Context originates here but is transferred via headers, not stored locally during transit.
This follows the OpenTracing standard used by OCI APM.
Reference: APM Traces and Spans
NEW QUESTION # 33
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
Answer: A,D
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.
Reference: SQL Warehouse Categories
NEW QUESTION # 34
Which Logging Analytics concept represents an asset on your host that could provide log data?
Answer: D
Explanation:
In OCI Logging Analytics, a Source defines the origin of log data from an asset on a host.
* Source (B): Represents a log-generating asset (e.g., a file, database audit log, or Windows event log), specifying its location, format, and collection frequency. It's associated with an Entity to enable log ingestion and parsing.
* Why not A, C, or D?
* Association (A): Links a Source to an Entity, not the asset itself.
* Entity (C): A logical representation of a resource (e.g., a host), not the log source.
* Parser (D): Extracts fields from logs, not the asset providing data.
Sources are foundational to log collection in Logging Analytics.
Reference: Logging Analytics Sources
NEW QUESTION # 35
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