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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q56-Q61):

NEW QUESTION # 56
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)

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

Answer: C,D

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 # 57
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?

A. cpuutilization[1m].max().grouping().sum()
B. (CpuUtilization[1m].max() > 80).grouping().sum()
C. CpuUtilization[1m](shape "VM.Standard.E4.Flex").max()
D. CpuUtilization[1m].max()

Answer: B

Explanation:
An MQL query for an alarm must evaluate a condition:
(CpuUtilization[1m].max() > 80).grouping().sum() (B):
CpuUtilization[1m]: Queries CPU utilization over 1-minute intervals.
.max(): Takes the maximum value per interval.
> 80: Sets a threshold (80%).
.grouping().sum(): Aggregates across metric streams, triggering the alarm if the sum exceeds 80%.
This is a complete alarm query.
Why not A, C, or D?
A: Filters by shape but lacks a threshold or alarm condition.
C: Missing condition for alarming.
D: No threshold; case sensitivity doesn't match OCI convention.
B ensures threshold-based alerting.

NEW QUESTION # 58
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?

A. Dynamically modifies database initialization parameters to improve performance
B. Automatically invokes full stats gathering of objects to improve performance of regressed SQLs
C. Visualizes and performs trend analysis from AWR data to detect issues using AWR Explorer

Answer: C

Explanation:
The performance management feature in Database Management leverages AWR data:
Visualizes and performs trend analysis from AWR data to detect issues using AWR Explorer (B): AWR Explorer displays Automatic Workload Repository data, enabling trend analysis and issue detection (e.g., performance bottlenecks).
Why not A or C?
A: Stats gathering is manual or scheduled, not automatic in this context.
C: Parameter changes require user intervention, not dynamic automation.
AWR Explorer is key for performance insights.

NEW QUESTION # 59
Which Machine Learning-based visualization is helpful in analyzing extremely large volumes of log records by grouping them based on their shape?

A. Cluster
B. Summary Table
C. Word Cloud

Answer: A

Explanation:
In Logging Analytics, ML-driven visualizations aid log analysis:
Cluster (A): Uses machine learning to group logs by structural similarity ("shape"), reducing noise and highlighting patterns or anomalies in large datasets.
Why not B or C?
Summary Table (B): Aggregates data tabularly, not ML-based or shape-focused.
Word Cloud (C): Displays word frequency, not structural grouping.
Cluster is ideal for large-scale log pattern recognition.

NEW QUESTION # 60
Which of the following is not a key interaction element in the Log Explorer UI of Logging Analytics?

A. Dashboard
B. Scope Filter
C. Fields Panel
D. Time Picker

Answer: A

Explanation:
The Log Explorer UI in OCI Logging Analytics includes four key interaction elements: Fields Panel, Time Picker, Scope Filter, and Results Panel. These allow users to search, filter, and analyze logs interactively.
Dashboard (D): This is not part of the Log Explorer UI. Dashboards are separate visualizations in Logging Analytics for summarizing data, not an interactive element of the Log Explorer.
Why A, B, and C are key elements:
Fields Panel (A): Displays log fields for filtering and analysis.
Time Picker (B): Sets the time range for log queries.
Scope Filter (C): Defines the scope (e.g., compartments, log groups) of the log search.

NEW QUESTION # 61
......

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q56-Q61):

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