1Z0-1111-25 TRAINING KIT | LATEST 1Z0-1111-25 EXAM PREPARATION

1Z0-1111-25 Training Kit | Latest 1Z0-1111-25 Exam Preparation

1Z0-1111-25 Training Kit | Latest 1Z0-1111-25 Exam Preparation

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q35-Q40):

NEW QUESTION # 35
In Application Performance Monitoring (APM), a distributed tracing user initiates a request through a browser. What is the first span called?

  • A. Ajax call
  • B. Root span
  • C. Trace ID

Answer: B

Explanation:
In distributed tracing within OCI APM:
Root span (C): The first span in a trace, representing the entry point of a user request (e.g., an HTTP request from a browser). It has no parent span and initiates the chain of subsequent spans across services.
Why not A or B?
Ajax call (A): A type of request, not a span term.
Trace ID (B): A unique identifier for the entire trace, not a span.
The root span is foundational to tracing a request's journey.


NEW QUESTION # 36
Which two components are optional while creating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)

  • A. Metric
  • B. Statistic
  • C. Grouping Function
  • D. Interval
  • E. Previous
  • F. Dimensions

Answer: B,C

Explanation:
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 typically required 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.


NEW QUESTION # 37
Which of the following features of Logging Analytics is used for identifying and tagging problem logs during ingestion time?

  • A. Labels
  • B. Extended Fields
  • C. Log Origin
  • D. Entity Type

Answer: A

Explanation:
In OCI Logging Analytics, Labels enhance log analysis by tagging specific records:
Labels (B): Predefined tags applied during ingestion based on conditions (e.g., "Error" for logs with "error" or "exception"). Labels help categorize and filter problem logs for easier searching and troubleshooting.
Why not A, C, or D?
Entity Type (A): Defines the resource type (e.g., host), not a tagging mechanism.
Log Origin (C): Metadata about log source, not for problem identification.
Extended Fields (D): Custom fields extracted post-ingestion, not tags applied during ingestion.
Labels streamline issue detection at the ingestion stage.


NEW QUESTION # 38
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 histogram records
  • C. Use parsed logs search
  • D. Use specific keywords

Answer: A,C

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 # 39
Which of the following is required to enable Stack Monitoring?

  • A. Dynamic group for discovery service
  • B. User group for VCN collection
  • C. Machine Learning group for resource associations

Answer: A

Explanation:
To enable Stack Monitoring:
Dynamic group for discovery service (A): A dynamic group defines resources (e.g., compute instances) that Stack Monitoring can discover and monitor. A policy granting permissions to this group is also required.
Why not B or C?
Machine Learning group (B): Not a valid OCI concept for Stack Monitoring.
User group for VCN collection (C): User groups manage human access, not service discovery.
This setup ensures Stack Monitoring can access and monitor resources.


NEW QUESTION # 40
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