Google Professional-Cloud-Database-Engineer Detailed Study Dumps | Professional-Cloud-Database-Engineer Latest Exam Fee

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

Section	Weight	Objectives
Topic 1: Migrate data solutions	14%	- Implement migration and replication 1. Data replication methods 2. Migration tool selection 3. Schema conversion - Design migration strategies 1. Downtime requirements analysis 2. Fall-back planning - Validate and cut over migration 1. Cutover procedures 2. Data integrity verification
Topic 2: Design innovative, scalable, and highly available cloud database solutions	32%	- Design for backup and recovery 1. Backup strategies 2. RTO and RPO design 3. Data import/export planning - Design for high availability and reliability 1. Replication strategies 2. Disaster recovery planning 3. High availability configurations - Design for security and compliance 1. Access control and IAM 2. Compliance requirements 3. Data encryption - Analyze variables for capacity and usage planning 1. Solution sizing based on workload and requirements 2. Evaluate performance and cost tradeoffs 3. Size compute and storage resources
Topic 3: Deploy scalable and highly available databases in Google Cloud	20%	- Implement high availability solutions 1. Multi-region replication 2. Provision HA configurations 3. Read replicas deployment - Automate deployment and scaling 1. Auto-scaling setup 2. Infrastructure as Code - Configure monitoring and alerting 1. Health checks and alerts 2. Performance dashboards
Topic 4: Manage a solution that spans multiple database technologies	25%	- Optimize cost and performance 1. Cost optimization 2. Scaling strategies 3. Automate operational tasks - Determine connectivity and access management 1. IAM policies and permissions 2. User authentication and authorization - Manage database operations and maintenance 1. Updates and upgrades 2. Index management 3. Data lifecycle management - Configure monitoring and troubleshooting 1. Troubleshoot common issues 2. Query optimization 3. Performance monitoring

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q216-Q221):

NEW QUESTION # 216
Your organization has a security policy to ensure that all Cloud SQL for PostgreSQL databases are secure.
You want to protect sensitive data by using a key that meets specific locality or residency requirements. Your organization needs to control the key's lifecycle activities. You need to ensure that data is encrypted at rest and in transit. What should you do?

A. Create the database with customer-managed encryption keys.
B. Create the database persistent disk with customer-managed encryption keys.
C. Create the database persistent disk with Google-managed encryption keys.
D. Create the database with Google-managed encryption keys.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/postgres/configure-cmek#createcmekinstance

NEW QUESTION # 217
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy.
You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?

A. For each application code, set up a common shared user account.
B. For the application server, set up a common shared user account.
C. For each application code, set up a dedicated user account.
D. For the application server, set up a service account.

Answer: D

Explanation:
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account

NEW QUESTION # 218
You are troubleshooting a connection issue with a newly deployed Cloud SQL instance on Google Cloud. While investigating the Cloud SQL Proxy logs, you see the message Error 403: Access Not Configured. What should you do?

A. Check the app.yaml value cloud_sql_instances for a misspelled or incorrect instance connection name.
B. Check whether your service account has cloudsql.instances.connect permission.
C. Ensure that you are using an external (public) IP address interface.
D. Enable the Cloud SQL Admin API.

Answer: A

NEW QUESTION # 219
You are writing an application that will run on Cloud Run and require a database running in the Cloud SQL managed service. You want to secure this instance so that it only receives connections from applications running in your VPC environment in Google Cloud. What should you do?

A. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Connect to the instance using a connection pool to best manage connections to the instance.
B. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Connect to the instance using a connection pool to best manage connections to the instance.
C. 1. Create your instance with a specified internal (private) IP address.
2. Choose the VPC with private service connection configured.
3. Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
4. Use Cloud SQL Auth proxy to connect to the instance.
D. 1. Create your instance with a specified external (public) IP address.
2. Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
3. Use Cloud SQL Auth proxy to connect to the instance.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/mysql/connect-run#configure https://cloud.google.com/sql/docs/mysql/connect-run#connection-pools

NEW QUESTION # 220
Your company is developing a 24/7, global, real-time analytics platform that needs to store and process large amounts of versioned time-series data. You need to design a platform that is highly scalable to accommodate traffic spikes and ensure high availability for mission-critical operations.
What should you do-

A. Implement a multi-cluster Bigtable instance across multiple regions with replication.
B. Implement a single-cluster Bigtable instance with autoscaling enabled and row key design.
C. Implement AlloyDB for PostgreSQL to handle the analytical workload using read replica.
D. Implement a multi-cluster Bigtable instance with autoscaling enabled and optimal schema design.

Answer: A

Explanation:
A multi-cluster Bigtable instance spanning regions gives you fully managed replication and multi- cluster routing for global, 24/7 availability. Combined with Bigtable's autoscaling and a time- series-optimized schema, this meets your needs for versioned data, traffic-spike scalability, and mission-critical HA.

NEW QUESTION # 221
......

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