Professional-Cloud-Database-Engineer Exam Vce Format & Examcollection Professional-Cloud-Database-Engineer Vce

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Success in the Professional-Cloud-Database-Engineer certification exam is essential to advance your career. The Google Cloud Certified - Professional Cloud Database Engineer (Professional-Cloud-Database-Engineer) certification can set you apart from the competition and give you the edge you need to grow in your career. However, preparing for the Professional-Cloud-Database-Engineer test can be challenging, mainly if you have limited time. Here's where DumpsReview comes in with actual Professional-Cloud-Database-Engineer Questions. We at DumpsReview are well aware of the importance of the Google Professional-Cloud-Database-Engineer certification in order to stand out in today's competitive job environment.
| Section | Objectives |
|---|
| Topic 1: Designing scalable and highly available cloud database solutions | - Select appropriate database services
- 1. Choose relational and non-relational databases
- 2. Plan scalability and availability strategies
- 3. Design globally distributed architectures
|
| Topic 2: Migrating data solutions | - Plan and execute migrations
- 1. Validate migrated workloads
- 2. Use Database Migration Service
- 3. Migrate on-premises databases to Google Cloud
|
| Topic 3: Securing and ensuring compliance of database solutions | - Implement security best practices
- 1. Configure IAM and access controls
- 2. Ensure compliance and governance
- 3. Enable encryption and auditing
|
| Topic 4: Optimizing database performance | - Improve database efficiency
- 1. Tune queries and indexes
- 2. Troubleshoot performance bottlenecks
- 3. Optimize storage and compute resources
|
| Topic 5: Managing database solutions | - Deploy and administer databases
- 1. Configure backups and recovery
- 2. Manage maintenance and upgrades
- 3. Implement monitoring and alerting
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q86-Q91):
NEW QUESTION # 86
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?
- A. Add more read-write replicas.
- B. Use staleness of at least 15 seconds.
- C. Keep the total CPU utilization under 45% in each region.
- D. Place the bulk of the read and write workloads closer to the default leader region.
Answer: D
Explanation:
https://cloud.google.com/spanner/docs/instance-configurations#multi-region-best-practices Best practices For optimal performance, follow these best practices: Design a schema that prevents hotspots and other performance issues. For optimal write latency, place compute resources for write-heavy workloads within or close to the default leader region. For optimal read performance outside of the default leader region, use staleness of at least 15 seconds. To avoid single-region dependency for your workloads, place critical compute resources in at least two regions. A good option is to place them next to the two different read-write regions so that any single region outage will not impact all of your application. Provision enough compute capacity to keep high priority total CPU utilization under 45% in each region.
NEW QUESTION # 87
Your hotel booking company is expanding into Country A, where personally identifiable information (PII) must comply with regional data residency requirements and audits. You need to isolate customer data in Country A from the rest of the customer data. You want to design a multi- tenancy strategy to efficiently manage costs and operations. What should you do?
- A. Apply a database data management pattern.
- B. Apply an instance data management pattern.
- C. Apply a schema data management pattern.
- D. Apply a table data management pattern.
Answer: B
Explanation:
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner#multi-tenancy-data-management-patterns
NEW QUESTION # 88
You are designing an augmented reality game for iOS and Android devices. You plan to use Cloud Spanner as the primary backend database for game state storage and player authentication. You want to track in-game rewards that players unlock at every stage of the game. During the testing phase, you discovered that costs are much higher than anticipated, but the query response times are within the SLA. You want to follow Google-recommended practices.
You need the database to be performant and highly available while you keep costs low. What should you do?
- A. Use the Cloud Spanner query optimizer to determine the most efficient way to execute the SQL query.
- B. Manually scale down the number of nodes after the peak period has passed.
- C. Use interleaving to co-locate parent and child rows.
- D. Use granular instance sizing in Cloud Spanner and Autoscaler.
Answer: D
Explanation:
https://cloud.google.com/architecture/autoscaling-cloud-spanner
NEW QUESTION # 89
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage. What should you do?
- A. Create two read-write Cloud SQL instances in two different zones with a standby instance in another region.
- B. Create one regional Cloud SQL instance with a read replica in another region.
- C. Create two read-write Cloud SQL instances in two different regions with a standby instance in another zone.
- D. Create one regional Cloud SQL instance in one zone with a standby instance in another zone in the same region.
Answer: A
NEW QUESTION # 90
You work for a large retail and ecommerce company that is starting to extend their business globally. Your company plans to migrate to Google Cloud. You want to use platforms that will scale easily, handle transactions with the least amount of latency, and provide a reliable customer experience. You need a storage layer for sales transactions and current inventory levels. You want to retain the same relational schema that your existing platform uses. What should you do?
- A. Store your data in Firestore in a multi-region location, and place your compute resources in one of the constituent regions.
- B. Deploy a Bigtable instance with a cluster in one region and a replica cluster in another geographic region.
- C. Build an in-memory cache in Memorystore, and deploy to the specific geographic regions where your application resides.
- D. Deploy Cloud Spanner using a multi-region instance, and place your compute resources close to the default leader region.
Answer: D
NEW QUESTION # 91
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