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NEW QUESTION # 34
From the following, select the different metric namespaces used for APM.
Answer: C
Explanation:
APM uses specific metric namespaces to categorize its telemetry data:
oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring (D):
oracle_apm_rum: Metrics from Real User Monitoring (e.g., page load times).
oracle_apm_synthetics: Metrics from Synthetic Monitoring (e.g., test response times).
oracle_apm_monitoring: Metrics from distributed tracing (e.g., span counts).
These namespaces align with APM's three core features.
Why not A, B, or C?
A: Individual metric names, not namespaces.
B: Incomplete and incorrect namespace naming.
C: Mixes metric types with partial namespace names.
These namespaces enable targeted metric queries in OCI Monitoring.
NEW QUESTION # 35
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
Answer: A,D
Explanation:
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.
NEW QUESTION # 36
Which two functions does the Trace Explorer allow you to do in Application Performance Monitoring (APM)? (Choose two.)
Answer: B,D
Explanation:
The Trace Explorer in OCI Application Performance Monitoring (APM) is a tool for analyzing distributed traces and spans. Its key functions include:
View the details of specific spans (A): Trace Explorer allows users to drill into individual spans within a trace, displaying details such as duration, status, tags, logs, and errors. This helps identify performance bottlenecks or failures in specific service calls.
Select pre-defined queries for common use cases (B): It provides built-in queries (e.g., slowest traces, error traces, traces by service) to quickly filter and analyze common scenarios, enhancing troubleshooting efficiency.
Why not C or D?
Display status of monitored systems (C): System status is monitored via OCI Monitoring or Stack Monitoring, not Trace Explorer, which focuses on traces.
Define custom metrics for traces (D): Custom metrics are defined in OCI Monitoring, not Trace Explorer, which is for viewing, not creating metrics.
Trace Explorer enhances visibility into distributed application performance.
NEW QUESTION # 37
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?
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 # 38
What are two examples of a Stack Monitoring deployment model? (Choose two.)
Answer: C,D
Explanation:
Stack Monitoring monitors application stacks across environments:
Resources running on OCI compute instances (B): Monitors components (e.g., WebLogic, databases) on OCI VMs using Management Agents.
Resources running on-premises (D): Tracks on-premises resources (e.g., Oracle Databases) via Enterprise Manager Bridge or agents.
Why not A or C?
A: Management Gateway is a proxy, not a resource host.
C: Network appliances aren't typical Stack Monitoring targets.
These models cover cloud and on-premises stacks.
NEW QUESTION # 39
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