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

Section	Objectives
Manage a database solution spanning multiple systems	- Operational database management 1. Capacity planning and scaling 2. Backup and restore strategies 3. Monitoring and performance tuning
Migrate data solutions to Google Cloud	- Database migration strategies 1. Online vs offline migration tools (e.g., Database Migration Service) 2. Lift-and-shift vs re-platforming
Design scalable and highly available database solutions	- Select appropriate database services (relational, NoSQL, analytical) 1. Bigtable use cases and schema design 2. Cloud SQL vs AlloyDB vs Spanner selection criteria 3. Firestore and document database patterns - Design for high availability and disaster recovery 1. Replication strategies and failover design 2. Regional vs multi-regional architectures
Ensure reliability, performance, and optimization	- Performance optimization 1. Indexing, query optimization, and caching strategies 2. Workload tuning across database services - Security and compliance 1. Encryption at rest and in transit 2. IAM roles and access control

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q79-Q84):

NEW QUESTION # 79
You need to provision several hundred Cloud SQL for MySQL instances for multiple project teams over a one-week period. You must ensure that all instances adhere to company standards such as instance naming conventions, database flags, and tags. What should you do?

A. Create clones from a template Cloud SQL instance.
B. Automate instance creation by writing a Dataflow job.
C. Create the instances using the Google Cloud Console UI.
D. Automate instance creation by setting up Terraform scripts.

Answer: C

NEW QUESTION # 80
You want to migrate an existing on-premises application to Google Cloud. Your application supports semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real-time monitoring and analysis. What should you do?

A. Deploy the database using Cloud Spanner.
B. Use BigQuery, and load data in batches.
C. C.Deploy the database using Bigtable.
D. Deploy the database using Cloud SQL.

Answer: C

Explanation:
Bigtable is a scalable, fully managed, and high-performance NoSQL database service that can handle semi-structured data and support real-time monitoring and analysis. Cloud SQL is a relational database service that does not support semi-structured dat a. BigQuery is a data warehouse service that is optimized for batch processing and analytics, not real-time monitoring. Cloud Spanner is a relational database service that supports semi-structured data with JSON data type, but it is more expensive and complex than Bigtable for this use case.

NEW QUESTION # 81
You are configuring a new application that has access to an existing Cloud Spanner database. The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?

A. Create a new service account, and grant it the Cloud Spanner Database Admin role.
B. Create a new service account, and grant it the spanner.databases.select permission.
C. Create a new service account, and grant it the Cloud Spanner Database Reader role.
D. Reuse the existing service account that populates this database.

Answer: C

Explanation:
https://cloud.google.com/iam/docs/overview

NEW QUESTION # 82
An analytics team needs to read data out of Cloud SQL for SQL Server and update a table in Cloud Spanner. You need to create a service account and grant least privilege access using predefined roles. What roles should you assign to the service account?

A. roles/cloudsql.instanceUser and roles/spanner.databaseUser
B. roles/cloudsql.client and roles/spanner.databaseReader
C. roles/cloudsql.viewer and roles/spanner.databaseUser
D. roles/cloudsql.editor and roles/spanner.admin

Answer: B

NEW QUESTION # 83
Your company uses a custom application to service thousands of users. The application is running on a Compute Engine and a Cloud SQL for PostgreSQL database. The company requires database passwords to be changed every 60-days. You need to ensure that the credentials used by the web application to connect to the database are managed securely. What should you do-

A. 1. Configure IAM database authentication for the application to connect to the database.
2. Create an IAM user and map it to a separate database user for each application user.
B. 1. Store the credentials to the database in Secret Manager.
2. Modify the application to retrieve the credentials from Secret Manager on startup.
3. Configure the rotation interval to 60-days.
C. 1. Store the credentials in a text file in a Cloud Storage bucket.
2. Modify the application to download the text file and retrieve the credentials on startup.
3. Update the text file every 60-days.
D. 1. Store the credentials in an encrypted text file in the application.
2. Use Cloud Key Management Service (Cloud KMS) to store the key for decrypting the text file.
3. Modify the application to decrypt the text file and retrieve the credentials on startup.
4. Update the text file every 60-days.

Answer: B

Explanation:
Secret Manager is the managed, secure store for your database credentials. By placing the Cloud SQL username and password there, configuring a 60-day rotation policy, and modifying your app to fetch them at startup, you get automatic credential rotation and audit logging with minimal code changes.

NEW QUESTION # 84
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