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:Google Cloud Fundamentals: Core Infrastructure (Preparing for Google Cloud Certification: Cloud Engineer Professional Certificate) Answers 2025

1. Question 1

Main advantage of AIOps for alarm fatigue

  • ❌ Increasing the number of alerts

  • ❌ Manually prioritizing alerts

  • Filtering out noise and prioritizing critical issues

  • ❌ Eliminating all alerts

Explanation:
AIOps reduces noise and highlights the alerts that actually matter.


2. Question 2

Primary focus of Amazon Q Developer

  • ❌ Monitoring applications

  • Providing code suggestions during development

  • ❌ Troubleshooting live issues

  • ❌ Managing performance post-deployment

Explanation:
Amazon Q Developer helps developers write and improve code using AI assistance.


3. Question 3

Difference between monitoring vs observability

  • ❌ Monitoring = external, observability = internal

  • ❌ Observability only logs

  • Monitoring tracks performance; observability finds root causes using logs, metrics, traces

  • ❌ Observability is a subset of monitoring


4. Question 4

What distinguishes AIOps vs AI in DevOps?

  • ❌ AIOps focuses on dev only

  • ❌ Predictive vs real-time

  • AIOps emphasizes operations; AI in DevOps spans the whole CI/CD pipeline

  • ❌ AIOps only for enterprises


5. Question 5 — (Select TWO)

Why CloudWatch Anomaly Detection is useful

  • ❌ No need to understand metrics

  • Reduces difficulty of choosing alarm thresholds

  • ❌ Automatically fixes anomalies

  • ❌ Helps name variables

  • Adapts to natural metric changes without false alarms

Correct Answers: 2 and 5


6. Question 6

Primary purpose of AWS X-Ray Insights

  • ❌ Manual monitoring

  • ❌ Generate all logs

  • Automatically detect anomalies and patterns indicating potential problems

  • ❌ Replace humans completely


7. Question 7 — (Select TWO)

Types of insights DevOps Guru provides

  • ❌ Predictive insights

  • ❌ Reactive insights

  • Proactive insights

  • ❌ Retrospective insights

  • Analytical insights

Correct Answers: 3 and 5

Explanation:
DevOps Guru uses ML to deliver:

  • Proactive insights → detect issues before impact

  • Analytical insights → root cause, contributing factors, remediation


🧾 Summary Table

Q# Correct Answer
1 Filtering noise + prioritizing critical issues
2 Code suggestions during development
3 Monitoring = performance; Observability = root cause via logs/metrics/traces
4 AIOps = operations; AI in DevOps = across CI/CD
5 Reduces threshold planning, adapts to natural changes
6 Auto detect anomalies in traces
7 Proactive insights, Analytical insights