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The Professional-Cloud-Database-Engineer Certification is a valuable certification for database engineers and administrators who work with the Google Cloud Platform. It demonstrates a high level of expertise and knowledge in database management on the cloud, which is becoming increasingly important as more organizations move their data to the cloud. Google Cloud Certified - Professional Cloud Database Engineer certification also provides a competitive advantage in the job market, as it is recognized by employers and industry professionals as a sign of expertise in cloud database engineering.

To become a Google Professional-Cloud-Database-Engineer, candidates must have a deep understanding of database management systems, including relational databases, NoSQL databases, and data warehousing solutions. They must also have experience in designing and implementing scalable and resilient database architectures using GCP's database services such as Cloud SQL, Cloud Spanner, and Bigtable. Additionally, candidates must have a good understanding of SQL and programming languages such as Java or Python.

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Google Professional-Cloud-Database-Engineer is a certification exam designed for professionals who want to showcase their expertise in designing, building, and managing databases on Google Cloud Platform. Professional-Cloud-Database-Engineer exam is intended for individuals who have a deep understanding of database management, data migration, backup and recovery, and security on Google Cloud Platform. Successful completion of Professional-Cloud-Database-Engineer Exam will earn candidates the Google Cloud Certified - Professional Cloud Database Engineer certification.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q198-Q203):

NEW QUESTION # 198
You are migrating your data center to Google Cloud. You plan to migrate your applications to Compute Engine and your Oracle databases to Bare Metal Solution for Oracle. You must ensure that the applications in different projects can communicate securely and efficiently with the Oracle databases. What should you do?

A. Set up Traffic Director.
B. Set up a Shared VPC, configure multiple service projects, and create firewall rules.
C. Set up Private Service Connect.
D. Set up Serverless VPC Access.

Answer: B

Explanation:
https://medium.com/google-cloud/shared-vpc-in-google-cloud-64527e0a409e#:~:text=Unlike%20VPC%20peering%2C%20Shared%20VPC%20connects%20projects%20within%20the%20same%20organization.&text=There%20are%20a%20lot%20of,between%20VPCs%20in%20different%20projects.

NEW QUESTION # 199
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. Use Key Visualizer for Bigtable.
B. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
C. Add more nodes to the Bigtable cluster.
D. Isolate the data analysts and operations user groups to use different Bigtable instances.

Answer: B

NEW QUESTION # 200
Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow.You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)

A. Disable replication on the read replica, and set the flag for parallel replication on the read replica. Re- enable replication and optimize performance by setting flags on the primary instance.
B. Create additional read replicas, and partition your analytics users to use different read replicas.
C. Disable replication on the primary instance, and set the flag for parallel replication on the primary instance. Re-enable replication and optimize performance by setting flags on the read replica.
D. Create secondary indexes on the replica.
E. Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.

Answer: A,B

Explanation:
Replication lag and slow report performance. E is eliminated because using BigQuery would mean changes to the current reports. Report slowness could be the result of poor indexing or just too much read load (or both!).
Since excessive load is mentioned in the question, creating additional read replicas and spreading the analytics workload around makes B correct and eliminates A as a way to speed up reporting. That leaves the replication problem. Cloud SQL enables single threaded replication by default, so it stands to reason enabling parallel replication would help the lag. To do that you disable replication on the replica (not the primary), set flags on the replica and optionally set flags on the primary instance to optimize performance for parallel replication.
That makes C correct and D incorrect.https://cloud.google.com/sql/docs/mysql/replication/manage- replicas#configuring-parallel-replication

NEW QUESTION # 201
Your company is migrating the existing infrastructure for a highly transactional application to Google Cloud. You have several databases in a MySQL database instance and need to decide how to transfer the data to Cloud SQL. You need to minimize the downtime for the migration of your 500 GB instance. What should you do?

A. 1. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
2. Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
3. Continue to dump each database until all the databases are migrated.
4. Update your application connections to the new instance.
B. 1. Create migration job using Database Migration Service.
2. Set the migration job type to One-time, and perform this migration during a maintenance window.
3. Stop all write workloads to the source database and initiate the dump. Wait for the dump to be loaded into the Cloud SQL destination database and the destination database to be promoted to the primary database.
4. Update your application connections to the new instance.
C. 1. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
2. Select the Backfill historical data check box on your stream configuration to initiate Datastream to backfill any data that is out of sync between the source and destination.
3. Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance.
D. 1. Create migration job using Database Migration Service.
2. Set the migration job type to Continuous, and allow the databases to complete the full dump phase and start sending data in change data capture (CDC) mode.
3. Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
4. Update your application connections to the new instance.

Answer: D

NEW QUESTION # 202
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 with Google-managed encryption keys.
D. Create the database persistent disk with Google-managed encryption keys.

Answer: B

NEW QUESTION # 203
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