Professional-Cloud-Database-Engineer Reliable Test Labs | Professional-Cloud-Database-Engineer Valid Exam Pattern

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Google Cloud Certified - Professional Cloud Database Engineer has introduced practice test (desktop and web-based) for the students so they can practice anytime in an easy way. The Google Cloud Certified - Professional Cloud Database Engineer (Professional-Cloud-Database-Engineer) practice tests are customizable which means the students can set the time and questions according to their needs. The Professional-Cloud-Database-Engineer Practice Tests have unlimited tries so that the users don't make extra mistakes when giving it the next time. Candidates can access the previously given tries from the history and avoid making mistakes in the final examination.

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

Section	Objectives
Ensure reliability, performance, and optimization	- Security and compliance 1. Encryption at rest and in transit 2. IAM roles and access control - Performance optimization 1. Workload tuning across database services 2. Indexing, query optimization, and caching strategies
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	- Design for high availability and disaster recovery 1. Regional vs multi-regional architectures 2. Replication strategies and failover design - Select appropriate database services (relational, NoSQL, analytical) 1. Firestore and document database patterns 2. Cloud SQL vs AlloyDB vs Spanner selection criteria 3. Bigtable use cases and schema design
Manage a database solution spanning multiple systems	- Operational database management 1. Capacity planning and scaling 2. Monitoring and performance tuning 3. Backup and restore strategies

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Professional-Cloud-Database-Engineer Valid Exam Pattern & Professional-Cloud-Database-Engineer Related Exams

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q14-Q19):

NEW QUESTION # 14
Your company is shutting down their data center and migrating several MySQL and PostgreSQL databases to Google Cloud. Your database operations team is severely constrained by ongoing production releases and the lack of capacity for additional on-premises backups. You want to ensure that the scheduled migrations happen with minimal downtime and that the Google Cloud databases stay in sync with the on-premises data changes until the applications can cut over.
What should you do? (Choose two.)

A. Use a cross-region read replica to migrate the databases to Cloud SQL.
B. Use an external read replica to migrate the databases to Cloud SQL.
C. Use a read replica to migrate the databases to Cloud SQL.
D. Use replication from an external server to migrate the databases to Cloud SQL.
E. Use Database Migration Service to migrate the databases to Cloud SQL.

Answer: D,E

Explanation:
https://cloud.google.com/sql/docs/mysql/replication/manage-replicas#basic-steps-to-change-parallel-replication-flags

NEW QUESTION # 15
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?

A. Manually or automatically increase the storage capacity.
B. Compress the data using a different compression algorithm.
C. Normalize the database to the third normal form.
D. Create another schema to load older data.

Answer: A

Explanation:
https://cloud.google.com/sql/docs/mysql/using-ood-recommender#apply_recommendations

NEW QUESTION # 16
Your organization is running a critical production database on a virtual machine (VM) on Compute Engine.
The VM has an ext4-formatted persistent disk for data files. Thedatabase will soon run out of storage space.
You need to implement a solution that avoids downtime. What should you do?

A. In the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
B. In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
C. In the Google Cloud Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
D. In the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.

Answer: B

Explanation:
https://cloud.google.com/compute/docs/disks/resize-persistent-disk#resize_partitions

NEW QUESTION # 17
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?

A. Add more nodes to the Bigtable cluster.
B. Isolate the data analysts and operations user groups to use different Bigtable instances.
C. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
D. Use Key Visualizer for Bigtable.

Answer: D

Explanation:
https://cloud.google.com/bigtable/docs/performance#troubleshooting

NEW QUESTION # 18
You want to migrate your on-premises PostgreSQL database to Compute Engine. You need to migrate this database with the minimum downtime possible. What should you do?

A. Create a read replica on Cloud SQL, and then promote it to a read/write standalone instance.
B. Create a hot standby on Compute Engine, and use PgBouncer to switch over the connections.
C. Perform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.
D. Use Database Migration Service to migrate your database.

Answer: B

Explanation:
PgBouncer maintains a pool for connections for each database and user combination. PgBouncer either creates a new database connection for a client or reuses an existing connection for the same user and database. + PgBouncer is a simple PostgreSQL connection pool that allows for several thousand connections at a time. Using Kubernetes Engine to run a Helm Chart w/ PgBouncer based on the great article from futuretech-industries, we were able to set up an easily deployable system to get the most out of our CloudSQL DBs without breaking the bank. https://medium.com/google-cloud/increasing-cloud-sql-postgresql-max-connections-w-pgbouncer-kubernetes-engine-49b0b2894820#:~:text=That%20is%20where,breaking%20the%20bank.

NEW QUESTION # 19
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