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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q30-Q35):

NEW QUESTION # 30
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)

A. Use time-picker to limit the volume of logs
B. Use parsed logs search
C. Use specific keywords
D. Use histogram records

Answer: A,B

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 # 31
Which two future resource usages are identified by Exadata Warehouse Insights custom analytics under Operations Insights? (Choose two.)

A. Memory
B. CPU
C. Network usage
D. AIOps

Answer: A,B

Explanation:
Exadata Warehouse Insights in OCI Operations Insights provides advanced analytics to forecast resource usage for Exadata systems.
Memory (A): Tracks and predicts memory utilization based on historical trends, aiding capacity planning.
CPU (D): Forecasts CPU usage, helping identify potential bottlenecks or over-provisioning.
Why not B or C?
Network usage (B): While monitored, it's not a primary focus of Exadata Warehouse Insights' future usage predictions.
AIOps (C): This is a methodology, not a resource usage metric.
These forecasts leverage historical data and what-if analysis for proactive management.

NEW QUESTION # 32
How does Application Performance Monitoring track all related spans for a single user request?

A. Using User ID
B. Using Trace ID
C. Using Application Name

Answer: B

Explanation:
APM tracks request flows using:
Using Trace ID (A): A unique identifier assigned to a trace (collection of spans) for a single user request. Propagated via HTTP headers, it links all spans across services.
Why not B or C?
User ID (B): Identifies users, not request flows.
Application Name (C): Too broad; doesn't correlate specific requests.
Trace ID ensures end-to-end visibility in distributed systems.

NEW QUESTION # 33
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?

A. VMware ESXi
B. Jaeger or Zipkin
C. WebLogic, Tomcat, or JBoss
D. NginX

Answer: B

Explanation:
The APM Java Agent collects telemetry from Java applications:
Jaeger or Zipkin (C): These are open-source distributed tracing systems. The Java Agent can integrate with Jaeger- or Zipkin-compatible applications, collecting spans and metrics for APM analysis.
Why not A, B, or D?
NginX (A): A web server; APM uses other agents (e.g., Browser Agent) for such systems.
WebLogic, etc. (B): Application servers, but not direct data sources; the agent collects from the app, not the server type.
VMware ESXi (D): A hypervisor, unrelated to Java tracing.
Jaeger and Zipkin compatibility extends APM's reach.

NEW QUESTION # 34
In Application Performance Monitoring (APM), where is the span context information located during transfer?

A. In the service boundaries
B. In HTTP call
C. In HTTP header
D. In the browser and the microservices

Answer: C

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.

NEW QUESTION # 35
......

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1Z0-1111-25 New Braindumps | Exam 1Z0-1111-25 Voucher

Exam 1Z0-1111-25 Voucher - New 1Z0-1111-25 Practice Materials

Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q30-Q35):

Oracle 1Z0-1111-25 Practice Exam Questions (Desktop & Web-based)

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