20+ practice questions focused on Analysing and Optimising Technical and Business Processes — one of the most tested topics on the Google Professional Cloud Architect exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Analysing and Optimising Technical and Business Processes PracticeA company wants to reduce costs for a batch analytics job that runs nightly for 4 hours on Compute Engine VMs. The job is fault-tolerant and can handle instance restarts. Which Compute Engine VM pricing model is MOST cost-effective?
Explanation: Preemptible VMs offer the lowest cost (up to 80% discount) and are ideal for fault-tolerant, short-lived batch workloads that can handle interruptions. Sustained use discounts apply automatically but require running a VM for at least 25% of a month. Committed use discounts require a 1- or 3-year commitment and are not as flexible for a short nightly job.
A company is migrating an on-premises PostgreSQL database (5 TB) to Cloud SQL. They need minimal downtime and automated schema conversion if needed. Which GCP service should they use?
Explanation: Database Migration Service (DMS) supports continuous migration with minimal downtime from on-premises PostgreSQL to Cloud SQL. It handles schema and data migration. Migrate for Compute Engine is for VM migration, Transfer Appliance is for bulk data transfer, and Datastream is for streaming replication to BigQuery.
A company runs a web application on Compute Engine behind a Global HTTPS Load Balancer. Users report slow page loads, especially for static assets. The development team wants to cache content closer to users without modifying code. Which GCP service should they enable?
Explanation: Cloud CDN uses Google's global edge cache to deliver content close to users. It can be enabled on the load balancer backend buckets (for Cloud Storage) or backend services (for Compute Engine). Cloud Armor is for security, Cloud DNS for domain resolution, and Cloud NAT for outbound connectivity.
A company has a BigQuery dataset with a growing fact table (500 million rows, added daily). Queries that filter on a date column and group by a product ID are slow. The team wants to optimise query performance without increasing slot costs. Which two actions should they take? (Choose TWO.)
Explanation: Partitioning by date and clustering by product ID can significantly improve query performance: partitioning prunes scans to relevant days, and clustering co-locates rows with similar product IDs. Materialised views pre-aggregate data but increase storage costs. SELECT * is inefficient and should be avoided. Slots pricing does not help performance without changing configuration.
A company wants to reduce Cloud Storage costs for archival data that is accessed less than once a year. They have data stored in Standard storage class. Which TWO actions should they take? (Choose TWO.)
Explanation: Using lifecycle policies to transition from Standard to Archive storage class reduces cost for rarely accessed data. Also, deleting unnecessary objects reduces storage. Coldline is for 90 days, Nearline for 30 days; Archive is for long-term archival. Changing object names does not reduce cost.
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Practice all Analysing and Optimising Technical and Business Processes questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Analysing and Optimising Technical and Business Processes. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
Analysing and Optimising Technical and Business Processes questions on the PCA frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. Analysing and Optimising Technical and Business Processes is tested as part of the Google Professional Cloud Architect blueprint. Practicing with targeted Analysing and Optimising Technical and Business Processes questions ensures you can handle any format or difficulty that appears.
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