PCDOE Practice Test 8 — 10 Questions

Question 1

Which Cloud Monitoring feature can directly correlate this error with the associated trace and VM instance?

Accepted Answer

Error Reporting. Error Reporting in Google Cloud automatically groups errors from Cloud Logging and can directly correlate an error with the associated trace ID and VM instance metadata. This is because Error Reporting ingests structured log entries that contain the `@type` field set to `type.googleapis.com/google.devtools.clouderrorreporting.v1beta1.ReportedErrorEvent` and parses the `serviceContext` and `context` fields to link the error to the specific trace and resource (e.g., VM instance).

Answer

Log-based metrics

Answer

Metrics Explorer

Answer

Alerting policies

Question 2

A company runs a nightly batch data processing job on Compute Engine instances. The job runs for approximately 2 hours each night and is fault-tolerant (can resume from checkpoint). The team wants to minimize costs. Which TWO strategies should they implement? (Choose two.)

Accepted Answer

Use preemptible VMs for the worker nodes.. Preemptible VMs are significantly cheaper than standard VMs (up to 60-80% discount) and are ideal for fault-tolerant, short-lived batch jobs that can resume from checkpoints. Since the job runs nightly for only 2 hours and can handle interruptions, preemptible VMs minimize costs without risking job completion.

Answer

Purchase 1-year committed use discounts for the worker nodes.

Answer

Migrate the workload to Cloud Functions.

Answer

Enable sustained use discounts by keeping the instances running 24/7.

Question 3

What is the effect of the 'timeshiftDuration' of '3600s' in the dashboard widget?

Accepted Answer

The chart compares current data to data from 1 hour ago. The 'timeshiftDuration' parameter in a dashboard widget shifts the time range of the comparison data relative to the primary time range. Setting 'timeshiftDuration' to '3600s' means the chart compares the current data (within the selected time range) against data from exactly 1 hour (3600 seconds) earlier. This is commonly used for offset comparisons, such as week-over-week or hour-over-hour analysis, and does not alter the primary data range or aggregation.

Answer

The chart shows data from the last 1 hour

Answer

The metric is aggregated over 1 hour

Answer

The dashboard updates every hour

Question 4

Refer to the exhibit. What does the alert condition indicate?

Accepted Answer

It alerts for any Cloud Run revision that has more than 1000 requests in a 1-minute window.. The alert condition in the exhibit uses a per-revision metric (e.g., `run.googleapis.com/request_count`) with a threshold of 1000 and a 1-minute window. This means the alert fires for any individual Cloud Run revision that exceeds 1000 requests within that window, not for the aggregate across all revisions. Option B correctly identifies this per-revision behavior.

Answer

It alerts when the request count drops below 1000 for 1 minute.

Answer

It alerts when the average request count across all revisions exceeds 1000 over 1 minute.

Answer

It alerts when the total request count across all revisions exceeds 1000 per minute.

Question 5

A latency-sensitive web application uses Cloud CDN. What configuration change would most directly reduce cache miss rates?

Accepted Answer

Enable cache static content and set appropriate cache modes. Enabling cache static content and setting appropriate cache modes directly reduces cache miss rates by ensuring that more requests are served from the Cloud CDN cache rather than forwarded to the origin. This configuration allows the CDN to store and serve static assets (e.g., images, CSS, JavaScript) based on cache keys and TTLs, minimizing the number of cache misses for eligible content.

Answer

Enable Cloud Armor to filter malicious traffic

Answer

Use signed URLs to restrict access

Answer

Set TTL to 0 to ensure content is always fresh

Question 6

Which tool can be used to capture and analyze latency spikes in a distributed application?

Accepted Answer

Cloud Trace. Cloud Trace is the correct tool for capturing and analyzing latency spikes in a distributed application because it provides end-to-end latency tracking by instrumenting requests as they traverse microservices. It collects trace spans with timing data, allowing you to identify bottlenecks and pinpoint the exact service or operation causing the spike.

Answer

Cloud Logging

Answer

Cloud Debugger

Answer

Cloud Monitoring

Question 7

Which service is commonly used for time-series data and real-time analytics?

Accepted Answer

Bigtable. Bigtable is a fully managed, scalable NoSQL database optimized for large analytical and operational workloads, including time-series data and real-time analytics. It provides sub-10ms latency for high-throughput reads and writes, making it ideal for IoT, monitoring, and financial data streams. Its column-oriented storage and automatic sharding support efficient time-based queries and aggregation.

Answer

Cloud SQL

Answer

Firestore

Answer

Cloud Spanner

Question 8

During bootstrapping, a DevOps lead wants to ensure that all projects in the 'dev' folder have a consistent set of VPC firewall rules and network policies. They are considering using a shared VPC or VPC Network Peering. Which approach provides the most control and consistency for DevOps teams while minimizing administrative overhead?

Accepted Answer

Implement a shared VPC with a host project managed by the network team, and allow DevOps teams to use subnets in their service projects.. A shared VPC with a host project managed by the network team provides centralized control over VPC firewall rules and network policies, ensuring consistency across all service projects in the 'dev' folder. This approach minimizes administrative overhead because DevOps teams can create subnets in their service projects without needing to manage network infrastructure, while the network team enforces a uniform security posture.

Answer

Use VPC Service Controls to define perimeters for each project.

Answer

Create a separate VPC in each project and use Cloud VPN to connect them.

Answer

Use VPC Network Peering between all projects to allow connectivity.

Question 9

Which service should be used to monitor the health of HTTP endpoints from multiple locations?

Accepted Answer

Cloud Monitoring. Cloud Monitoring (formerly Stackdriver Monitoring) includes uptime checks that can be configured to probe HTTP endpoints from multiple global locations, measuring latency, availability, and response content. This makes it the correct service for monitoring the health of HTTP endpoints from diverse geographic regions.

Answer

Cloud Trace

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Cloud Logging

Answer

Cloud Debugger

Question 10

A company serves static assets (images, CSS) to global users. Users in distant regions experience slow load times. Which service should they use to optimize delivery?

Accepted Answer

Cloud CDN. Cloud CDN (Content Delivery Network) caches static assets (images, CSS) at edge locations worldwide, reducing latency for distant users by serving content from a nearby point of presence (PoP). This directly addresses slow load times caused by geographic distance, as the origin server is no longer the sole source of delivery.

Answer

Cloud Load Balancing

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Cloud NAT

Answer

Cloud Armor