Google Professional Cloud Database Engineer Exam Practice Test Instant Access

Question 1

You want to migrate an on-premises mission-critical PostgreSQL database to Cloud SQL. The database must be able to withstand a zonal failure with less than five minutes of downtime and still not lose any transactions. You want to follow Google-recommended practices for the migration. What should you do?

ATake nightly snapshots of the primary database instance, and restore them in a secondary zone.

BBuild a change data capture (CDC) pipeline to read transactions from the primary instance, and replicate them to a secondary instance.

CCreate a read replica in another region, and promote the read replica if a failure occurs.

DEnable high availability (HA) for the database to make it regional.

Answer : D

Question 2

Your DevOps team is using Terraform to deploy applications and Cloud SQL databases. After every new application change is rolled out, the environment is torn down and recreated, and the persistent database layer is lost. You need to prevent the database from being dropped. What should you do?

ASet Terraform deletion_protection to true.

BRerun terraform apply.

CCreate a read replica.

DUse point-in-time-recovery (PITR) to recover the database.

Answer : A

. From Google's documentation, 'For stateful resources, such as databases, ensure that deletion protection is enabled. The syntax is: lifecycle { prevent_destroy = true } https://cloud.google.com/docs/terraform/best-practices-for-terraform#stateful-resources

Question 3

You are the DBA of an online tutoring application that runs on a Cloud SQL for PostgreSQL database. You are testing the implementation of the cross-regional failover configuration. The database in region R1 fails over successfully to region R2, and the database becomes available for the application to process dat

a. During testing, certain scenarios of the application work as expected in region R2, but a few scenarios fail with database errors. The application-related database queries, when executed in isolation from Cloud SQL for PostgreSQL in region R2, work as expected. The application performs completely as expected when the database fails back to region R1. You need to identify the cause of the database errors in region R2. What should you do?

ADetermine whether the versions of Cloud SQL for PostgreSQL in regions R1 and R2 are different.

BDetermine whether the database patches of Cloud SQI for PostgreSQL in regions R1 and R2 are different.

CDetermine whether the failover of Cloud SQL for PostgreSQL from region R1 to region R2 is in progress or has completed successfully.

DDetermine whether Cloud SQL for PostgreSQL in region R2 is a near-real-time copy of region R1 but not an exact copy.

Answer : D

Verify that the replica has processed all the transactions it has received from the primary. This ensures that when promoted, the replica reflects all transactions that were received before the primary became unavailable. https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#verify_failover_criteria

Question 4

Your organization works with sensitive data that requires you to manage your own encryption keys. You are working on a project that stores that data in a Cloud SQL database. You need to ensure that stored data is encrypted with your keys. What should you do?

AExport data periodically to a Cloud Storage bucket protected by Customer-Supplied Encryption Keys.

BUse Cloud SQL Auth proxy.

CConnect to Cloud SQL using a connection that has SSL encryption.

DUse customer-managed encryption keys with Cloud SQL.

Answer : D

Question 5

You are managing a set of Cloud SQL databases in Google Cloud. Regulations require that database backups reside in the region where the database is created. You want to minimize operational costs and administrative effort. What should you do?

AConfigure the automated backups to use a regional Cloud Storage bucket as a custom location.

BUse the default configuration for the automated backups location.

CDisable automated backups, and create an on-demand backup routine to a regional Cloud Storage bucket.

DDisable automated backups, and configure serverless exports to a regional Cloud Storage bucket.

Answer : A

https://cloud.google.com/sql/docs/mysql/backup-recovery/backing-up#locationbackups You can use a custom location for on-demand and automatic backups. For a complete list of valid location values, see the Instance locations.

Question 6

You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached dat

a. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?

AUse Firestore and ensure that the PersistenceEnabled option is set to true.

BUse Memorystore for Memcached.

CUse Pub/Sub to synchronize the changes from the application to Cloud Spanner.

DUse Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.

Answer : A

https://firebase.google.com/docs/firestore/manage-data/enable-offline

Question 7

Your company is using Cloud SQL for MySQL with an internal (private) IP address and wants to replicate some tables into BigQuery in near-real time for analytics and machine learning. You need to ensure that replication is fast and reliable and uses Google-managed services. What should you do?

ADevelop a custom data replication service to send data into BigQuery.

BUse Cloud SQL federated queries.

CUse Database Migration Service to replicate tables into BigQuery.

DUse Datastream to capture changes, and use Dataflow to write those changes to BigQuery.

Answer : D

''Datastream is a serverless and easy-to-use Change Data Capture (CDC) and replication service that allows you to synchronize data across heterogeneous databases, storage systems, and applications reliably and with minimal latency. Datastream supports change data streaming from Oracle and MySQL databases to Google Cloud Storage (GCS). The service offers streamlined integration with Dataflow templates to power up to date materialized views in BigQuery for analytics, replicate their databases into Cloud SQL or Cloud Spanner for database synchronization, or leverage the event stream directly from GCS to realize event-driven architectures.''