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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified - Professional Cloud Database Engineer |
| Exam Number: | Professional-Cloud-Database-Engineer |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not officially disclosed |
| Exam Duration: | 120 minutes |
| Related Certifications: | Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Professional Data Engineer Google Cloud Certified - Associate Cloud Engineer |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Price: | $200 USD |
| Real Exam Qty: | 50-60 |
| Available Languages: | Japanese, English |
| Sample Questions: | Google Professional-Cloud-Database-Engineer Sample Questions |
| Exam Way: | Online-proctored or onsite-proctored at a testing center |
| Pre Condition: | No formal prerequisites. Google recommends hands-on experience with Google Cloud database services and cloud architecture. |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-database-engineer |
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The Professional-Cloud-Database-Engineer Exam is intended for individuals who have experience working with databases on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam covers a wide range of topics, including database design, data modeling, data warehousing, data migration, database security, and database optimization. It also covers topics related to managing databases in a cloud environment, such as scalability, availability, and disaster recovery.
NEW QUESTION # 153
Your application stores session documents in Firestore and queries them by steps, sessionDuration, and energyBurned. After a 30 day test period, latency is acceptable but costs are high. Which Firestore change would reduce cost while preserving performance and availability?
Answer: A
Explanation:
Firestore automatically creates single field indexes for most fields which means each document write updates multiple index entries and drives up write and storage costs. By trimming indexes to only the ones required by your queries on steps, sessionDuration and energyBurned you reduce index write amplification and index storage while preserving the performance of the queries you care about. This is a configuration change that does not reduce availability because Firestore remains fully managed and you keep the essential indexes for your filters and sort orders.
You can delete unused composite indexes and add single field index exemptions for attributes that are not part of your supported query patterns. Monitor index usage and keep only the minimal set that powers production queries so you sustain acceptable latency while lowering cost.
NEW QUESTION # 154
Your company is rapidly expanding its user base across North America, nearly doubling in the last 6-months. This expansion causes a substantial increase in query volume on your mission- critical Cloud SQL database. This has led to noticeable performance issues and slower query response times. You suspect that your Cloud SQL instance may not be able to handle the incremental load. You need to identify the root cause of this performance bottleneck and ensure that your database can scale with your growing user base. What should you do-
Answer: D
Explanation:
Start by using Cloud-SQL's System-Insights dashboard to pinpoint whether CPU, memory, or disk I/O is saturating during peak loads. Analyzing these resource-utilization charts will reveal the root cause, letting you choose the right scaling strategy (vertical resize, read replicas, or sharding) rather than guessing.
NEW QUESTION # 155
You released a popular mobile game and are using a 50 TB Cloud Spanner instance to store game data in a PITR-enabled production environment. When you analyzed the game statistics, you realized that some players are exploiting a loophole to gather more points to get on the leaderboard. Another DBA accidentally ran an emergency bugfix script that corrupted some of the data in the production environment. You need to determine the extent of the data corruption and restore the production environment. What should you do? (Choose two.)
Answer: B,D
Explanation:
https://cloud.google.com/spanner/docs/pitr
https://cloud.google.com/spanner/docs/backup/restore-backup
NEW QUESTION # 156
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?
Answer: D
NEW QUESTION # 157
You are designing for a write-heavy application. During testing, you discover that the write workloads are performant in a regional Cloud Spanner instance but slow down by an order of magnitude in a multi-regional instance. You want to make the write workloads faster in a multi-regional instance. What should you do?
Answer: D
NEW QUESTION # 158
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