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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

Section	Objectives
Optimizing database performance	- Improve database efficiency 1. Tune queries and indexes 2. Optimize storage and compute resources 3. Troubleshoot performance bottlenecks
Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Validate migrated workloads 3. Use Database Migration Service
Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Choose relational and non-relational databases 2. Design globally distributed architectures 3. Plan scalability and availability strategies
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Ensure compliance and governance 2. Enable encryption and auditing 3. Configure IAM and access controls
Managing database solutions	- Deploy and administer databases 1. Configure backups and recovery 2. Implement monitoring and alerting 3. Manage maintenance and upgrades

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q186-Q191):

NEW QUESTION # 186
You are designing a highly available (HA) Cloud SQL for PostgreSQL instance that will be used by 100 databases. Each database contains 80 tables that were migrated from your on-premises environment to Google Cloud. The applications that use these databases are located in multiple regions in the US, and you need to ensure that read and write operations have low latency. What should you do?

A. Deploy 4 Cloud SQL instances in the us-central1 region, and create read replicas in us-central1, us-east1 and us-west1.
B. Deploy 2 Cloud SQL instances in the us-central1 region with HA enabled, and create read replicas in us-east1 and us-west1.
C. Deploy 4 Cloud SQL instances in the us-central1 region with HA enabled, and create read replicas in us-central1, us-east1, and us-west1.
D. Deploy 2 Cloud SQL instances in the us-central1 region, and create read replicas in us-east1 and us-west1.

Answer: D

NEW QUESTION # 187
Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic.
Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?

A. Use Bigtable for data storage.
B. Use Memorystore for data storage.
C. Use Cloud Spanner for data storage.
D. Use Cloud SQL for data storage.

Answer: C

NEW QUESTION # 188
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?

A. Shard data required by the application into multiple instances.
B. Increase the number of processing units.
C. Decrease the number of processing units.
D. Modify the database schema, and add additional indexes.

Answer: B

Explanation:
In case of high CPU utilization like, mentioned in question, refer: https://cloud.google.com/spanner/docs/identify-latency-point#:~:text=Check%20the%20CPU%20utilization%20of%20the%20instance.%20If%20the%20CPU%20utilization%20of%20the%20instance%20is%20above%20the%20recommended%20level%2C%20you%20should%20manually%20add%20more%20nodes%2C%20or%20set%20up%20auto%20scaling. "Check the CPU utilization of the instance. If the CPU utilization of the instance is above the recommended level, you should manually add more nodes, or set up auto scaling." Indexes and schema are reviewed post identifying query with slow performance. Refer : https://cloud.google.com/spanner/docs/troubleshooting-performance-regressions#review-schema

NEW QUESTION # 189
Your company is developing a new global transactional application that must be ACID-compliant and have
99.999% availability. You are responsible for selecting the appropriate Google Cloud database to serve as a datastore for this new application. What should you do?

A. Use Cloud Spanner.
B. Use Bigtable.
C. Use Firestore.
D. Use Cloud SQL.

Answer: A

NEW QUESTION # 190
Which connection method should applications use to connect to a regional Cloud Memorystore for Redis instance to keep 99th percentile latency under 4 milliseconds while minimizing operational overhead?

A. Private Service Connect
B. Use the Redis private IP in the same VPC and region
C. Use a regional load balancer in front of Redis

Answer: B

Explanation:
Connecting directly over the instance private address within the same network and region keeps the path short and predictable which helps keep the 99th percentile latency under four milliseconds. This direct approach has no extra proxies and no cross region hops and it also minimizes operational overhead because there is nothing to deploy or manage between your clients and the managed Redis endpoint.

NEW QUESTION # 191
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