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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q96-Q101):

NEW QUESTION # 96
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. Create your instance with a specified internal (private) IP address.
Choose the VPC with private service connection configured.
Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
Use Cloud SQL Auth proxy to connect to the instance.
B. Create your instance with a specified external (public) IP address.
Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
Use Cloud SQL Auth proxy to connect to the instance.
C. Create your instance with a specified external (public) IP address.
Choose the VPC and create firewall rules to allow only connections from Cloud Run into your instance.
Connect to the instance using a connection pool to best manage connections to the instance.
D. Create your instance with a specified internal (private) IP address.
Choose the VPC with private service connection configured.
Configure the Serverless VPC Access connector in the same VPC network as your Cloud SQL instance.
Connect to the instance using a connection pool to best manage connections to the instance.

Answer: A

NEW QUESTION # 97
You recently launched a new product to the US market. You currently have two Bigtable clusters in one US region to serve all the traffic. Your marketing team is planning an immediate expansion to APAC. You need to roll out the regional expansion while implementing high availability according to Google-recommended practices. What should you do?

A. Maintain a target of 35% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone us-central2-a
cluster-c in zone asia-northeast1-b
cluster-d in zone asia-east1-b
B. Maintain a target of 23% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone europe-west1-d
cluster-c in zone asia-east1-b
C. Maintain a target of 23% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone us-central1-b
cluster-c in zone us-east1-a
D. Maintain a target of 35% CPU utilization by locating:
cluster-a in zone us-central1-a
cluster-b in zone australia-southeast1-a
cluster-c in zone europe-west1-d
cluster-d in zone asia-east1-b

Answer: A

NEW QUESTION # 98
Your organization has a production Cloud SQL for MySQL instance. Your instance is configured with 16 vCPUs and 104 GB of RAM that is running between 90% and 100% CPU utilization for most of the day. You need to scale up the database and add vCPUs with minimal interruption and effort. What should you do?

A. Back up the database, create an instance with additional vCPUs, and restore the database.
B. Issue a gcloud compute instances update command to increase the number of vCPUs.
C. Issue a gcloud sql instances patch command to increase the number of vCPUs.
D. Update a MySQL database flag to increase the number of vCPUs.

Answer: C

Explanation:
https://cloud.google.com/sdk/gcloud/reference/sql/instances/patch

NEW QUESTION # 99
You are the DBA of your organization. You provided a cloned instance from the production Cloud SQL for PostSQL database to the developers for testing purposes. After the creation of the clone. Your developers notice missing data in one of the recently altered tables. What should you do to ensure that all data in included?

A. check for missing rotes and privileges in 'he cloned Cloud SQL instance. Grant missing privileges to the developers.
B. Dump the production database to a fie. Modify the dumped file to ALTER TABLE to SET LOGGED on tables that were unlogged in production. Reload the data in the new Cloud SQL for PostgreSQL Instance.
C. Clone the current production database, and restore it to an earlier point in time IPITR) Provide access to the cloned instance to the developers.
D. Take a back up of the production database and restore It to another Cloud SQL for PostgreSQL Instance. Provide access to the new instance to the developers.

Answer: C

NEW QUESTION # 100
Your team is building an application that stores and analyzes streaming time series financial dat a. You need a database solution that can perform time series-based scans with sub-second latency. The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

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

Answer: D

NEW QUESTION # 101
......

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