This PCA practice question tests your understanding of manage and provision cloud infrastructure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company is experiencing high latency in their VPC. They enabled VPC Flow Logs to capture metadata but need to analyze the logs for traffic patterns. Which Google Cloud service should they use to query and analyze VPC Flow Logs?
BigQuery
Exporting VPC Flow Logs to BigQuery allows powerful SQL analysis.
Cloud Storage
Why wrong: Cloud Storage is for object storage, not querying.
Cloud Logging
Why wrong: Cloud Logging is for viewing logs, but not designed for complex queries over large datasets.
Cloud Monitoring
Why wrong: Cloud Monitoring is for metrics and alerts, not log analysis.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
BigQuery
BigQuery is the correct service because VPC Flow Logs can be exported directly to BigQuery for querying and analyzing traffic patterns using SQL. BigQuery provides a serverless, highly scalable data warehouse that can handle large volumes of flow log metadata, enabling complex queries on source/destination IPs, ports, protocols, and packet counts. This allows the company to identify latency sources by analyzing traffic patterns over time.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
BigQuery
Why this is correct
Exporting VPC Flow Logs to BigQuery allows powerful SQL analysis.
Related concept
Read the scenario before looking for a memorised answer.
Cloud Storage
Why it's wrong here
Cloud Storage is for object storage, not querying.
Cloud Logging
Why it's wrong here
Cloud Logging is for viewing logs, but not designed for complex queries over large datasets.
Cloud Monitoring
Why it's wrong here
Cloud Monitoring is for metrics and alerts, not log analysis.
Common exam traps
The trap here is that candidates often confuse Cloud Logging (which can store and filter logs) with BigQuery (which is needed for complex SQL-based analysis), assuming that log storage alone is sufficient for deep traffic pattern queries.
Detailed technical explanation
VPC Flow Logs capture metadata about network traffic, including 5-tuple information (source/destination IP, source/destination port, protocol), packet/byte counts, and flow direction. When exported to BigQuery, each flow log record is stored as a row in a table, allowing analysts to run SQL queries to identify top talkers, detect anomalies, or correlate latency with specific flows. BigQuery's columnar storage and partitioning by timestamp enable fast, cost-effective analysis even for terabytes of flow log data.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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FAQ
Manage and provision cloud infrastructure — This question tests Manage and provision cloud infrastructure — Read the scenario before looking for a memorised answer..
The correct answer is: BigQuery — BigQuery is the correct service because VPC Flow Logs can be exported directly to BigQuery for querying and analyzing traffic patterns using SQL. BigQuery provides a serverless, highly scalable data warehouse that can handle large volumes of flow log metadata, enabling complex queries on source/destination IPs, ports, protocols, and packet counts. This allows the company to identify latency sources by analyzing traffic patterns over time.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 25, 2026
This PCA practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCA exam.
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