1z0-1111-25 Exam Dumps : Oracle Cloud Infrastructure 2025 Observability Professional

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.

MQL expressions in OCI Monitoring retrieve and process metric data. Optional components include:

Statistic (B): Specifies how to summarize data (e.g., avg, max). If omitted, raw data is returned.

Grouping Function (D): Aggregates data across metric streams (e.g., by resourceId). It’s optional if no grouping is needed.

Why not A, C, E, or F?

Interval (A): Defines the time window; defaults apply if omitted, but it’s typicallyrequired for meaningful queries.

Previous (C): Not a standard MQL component (possibly a typo).

Metric (E): Mandatory to specify what’s being queried.

Dimensions (F): Filters data; required if specific streams are targeted, though optional in basic queries.

Statistic and Grouping Function enhance flexibility but aren’t mandatory.

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.