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What is the purpose of using Resolution in a Monitoring Query Language expression?
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.
Choose two FluentD scenarios that apply when using continuous log collection with client-side processing. (Choose two.)
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.
You need to find the Log Group from a Log line using Oracle Cloud Infrastructure (OCI) Logging Service. Which section within a Log contains the Log Group's OCID?
In OCI Logging, logs are wrapped in a Unified Envelope:
Unified Envelope (D): Contains metadata like logGroupId (the OCID of the Log Group), timeCreated, and compartmentId. This identifies the Log Group for each log entry.
Why not A, B, or C?
Source Section (A): Indicates log origin, not the group OCID.
Data section (B): Holds the log content, not metadata like OCID.
Oracle section (C): Not a valid log section.
The Unified Envelope standardizes log metadata.
What are the two capabilities available in Operations Insights? (Choose two.)
Operations Insights provides:
Capacity Planning (A): Forecasts resource needs based on historical trends and scenarios.
Exadata Insights (D): Analyzes Exadata system performance and capacity.
Why not B or C?
Database Fleet Monitoring (B): A goal, not a named capability; covered under broader features.
Entity Topology Viewing (C): More aligned with Stack Monitoring, not Operations Insights.
These capabilities optimize resource management.
In Application Performance Monitoring (APM), where is the span context information located during transfer?
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.
