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

Section	Objectives
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
Optimizing database performance	- Improve database efficiency 1. Troubleshoot performance bottlenecks 2. Optimize storage and compute resources 3. Tune queries and indexes
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Configure IAM and access controls 2. Enable encryption and auditing 3. Ensure compliance and governance
Managing database solutions	- Deploy and administer databases 1. Implement monitoring and alerting 2. Configure backups and recovery 3. Manage maintenance and upgrades

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q49-Q54):

NEW QUESTION # 49
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?

A. Use query tags to add application-centric database monitoring.
B. Write a utility to scan application logs.
C. Write a utility to scan database query logs.
D. Shut down and restart each application.

Answer: C

NEW QUESTION # 50
You finished migrating an on-premises MySQL database to Cloud SQL. You want to ensure that the daily export of a table, which was previously a cron job running on the database server, continues. You want the solution to minimize cost and operations overhead. What should you do?

A. Use Cloud Scheduler and Cloud Functions to run the daily export.
B. Run the cron job on a Compute Engine instance to continue the export.
C. Set up Cloud Composer, and create a task to export the table daily.
D. Create a streaming Datatlow job to export the table.

Answer: C

NEW QUESTION # 51
You manage a production MySQL database running on Cloud SQL at a retail company. You perform routine maintenance on Sunday at midnight when traffic is slow, but you want to skip routine maintenance during the year-end holiday shopping season. You need to ensure that your production system is available 24/7 during the holidays. What should you do?

A. Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15.
B. Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and
1AM, and deny maintenance periods between November 1 and January 15.
C. Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15.
D. Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays. Pause the Cloud Scheduler job between November 1 and January 15.

Answer: C

Explanation:
Deny maintenance period. A block of days in which Cloud SQL does not schedule maintenance.
Deny maintenance periods can be up to 90 days long.
https://cloud.google.com/sql/docs/mysql/maintenance

NEW QUESTION # 52
At Nimbus Retail you manage a Cloud SQL for MySQL instance called reporting-sql-01. The team needs to export a full database to Cloud Storage and later import it back into the same instance using gcloud without doing any format conversion. Which command should you run to create the export so that it can be imported back into Cloud SQL?

A. gcloud sql export csv reporting-sql-01 gs://example-bucket-42/retail_backup.sql.gz - database=analyticsdb -gzip
B. gcloud sql export sql reporting-sql-01 gs://example-bucket-42/retail_backup.sql.gz - database=analyticsdb -gzip
C. gsutil cp gs://example-bucket-42/retail_backup.sql.gz | gcloud sql import sql reporting-sql-01 - database=analyticsdb -gzip
D. gcloud sql import csv reporting-sql-01 gs://example-bucket-42/export.csv -database=analyticsdb - gzip

Answer: B

Explanation:
This command creates a SQL dump that includes schema and data which is the format that Cloud SQL for MySQL expects for a straightforward import using the SQL import command. It writes directly to Cloud Storage, targets the specified database, and compresses the dump which can later be imported back without any conversion.

NEW QUESTION # 53
You are developing a Python application that will connect to AlloyDB for PostgreSQL as the backend datastore. Your organization's security requirements do not allow the use of usernames and passwords for database authentication. How should you develop your application-

A. Use any PostgreSQL-compatible Python client. Use a service account name and credential as the username and password respectively during connection.
B. Use any PostgreSQL-compatible Python client. Connect to the AlloyDB cluster by using Identity- Aware Proxy (IAP).
C. Use the AlloyDB Python connector. Use automated IAM authentication for connectivity.
D. Use the AlloyDB Python connector. Enforce SSL connectivity to AlloyDB by using the gcloud alloydb instance updatecommand with the --ssl-mode=ENCRYPTED_ONLYoption.

Answer: C

Explanation:
The AlloyDB Python connector natively supports IAM-based authentication, letting your application obtain short-lived OAuth tokens instead of using static database passwords. This meets the security requirement and integrates seamlessly with AlloyDB for PostgreSQL without additional credential management.

NEW QUESTION # 54
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