Hot Professional-Cloud-Database-Engineer Questions, Exam Professional-Cloud-Database-Engineer Questions Answers

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

Section	Objectives
Topic 1: Migrate data solutions to Google Cloud	- Database migration strategies 1. Lift-and-shift vs re-platforming 2. Online vs offline migration tools (e.g., Database Migration Service)
Topic 2: Ensure reliability, performance, and optimization	- Performance optimization 1. Workload tuning across database services 2. Indexing, query optimization, and caching strategies - Security and compliance 1. IAM roles and access control 2. Encryption at rest and in transit
Topic 3: 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
Topic 4: Manage a database solution spanning multiple systems	- Operational database management 1. Monitoring and performance tuning 2. Capacity planning and scaling 3. Backup and restore strategies

>> Hot Professional-Cloud-Database-Engineer Questions <<

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q136-Q141):

NEW QUESTION # 136
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 spanner.databases.select permission.
B. Create a new service account, and grant it the Cloud Spanner Database Admin role.
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:
spanner.database.select is not enough, you also need a spanner.database.read which is included in Cloud Spanner Database Reader role.

NEW QUESTION # 137
Riverton Analytics runs Microsoft SQL Server on premises with two read-only replicas, and the nightly differential backups for 28 databases have become expensive and difficult to manage.
They plan to move to Google Cloud following recommended practices and they must keep the cutover window under 20 minutes with minimal disruption. What should you do?

A. Create a Google Kubernetes Engine cluster, deploy SQL Server, and restore the backup file
B. Configure Cloud SQL for SQL Server as a subscriber to the on premises publisher and replicate continuously until you cut over
C. Take a native SQL Server backup to Cloud Storage and restore it into a new Cloud SQL for SQL Server instance
D. Create a Compute Engine VM, install SQL Server, and import the backup file

Answer: B

Explanation:
This uses transactional replication to keep the managed Cloud SQL instance nearly in sync before the switch so you can meet the under 20 minute cutover and minimize disruption.
With this approach you seed the data and then stream changes continuously so the target stays current. When you are ready to migrate you stop writes on the source if needed, allow the subscriber to catch up, switch the application connection string, and complete the cutover with only a brief outage. This aligns with recommended practices because it leverages a managed service, reduces operational overhead, and avoids the complexity and cost of frequent differential backups across many databases.

NEW QUESTION # 138
Your customer has a global chat application that uses a multi-regional Cloud Spanner instance. The application has recently experienced degraded performance after a new version of the application was launched. Your customer asked you for assistance. During initial troubleshooting, you observed high read latency. What should you do?

A. Change the Cloud Spanner configuration from multi-region to single region.
B. Use query parameters to speed up frequently executed queries.
C. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.
D. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.

Answer: D

Explanation:
To troubleshoot high read latency, you can use SQL statements to analyze the SPANNER_SYS.READ_STATS* tables. These tables contain statistics about read operations in Cloud Spanner, including the number of reads, read latency, and the number of read errors. By analyzing these tables, you can identify the cause of the high read latency and take appropriate action to resolve the issue. Other options, such as using query parameters to speed up frequently executed queries or changing the Cloud Spanner configuration from multi-region to single region, may not be directly related to the issue of high read latency. Similarly, analyzing the SPANNER_SYS.QUERY_STATS* tables, which contain statistics about query operations, may not be relevant to the issue of high read latency.

NEW QUESTION # 139
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. Create migration job using Database Migration Service.
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.
Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
Update your application connections to the new instance.
B. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
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.
Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance.
C. Create migration job using Database Migration Service.
Set the migration job type to One-time, and perform this migration during a maintenance window.
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.
Update your application connections to the new instance.
D. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
Continue to dump each database until all the databases are migrated.
Update your application connections to the new instance.

Answer: C

NEW QUESTION # 140
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?

A. Use Cloud SQL Auth proxy.
B. Use customer-managed encryption keys with Cloud SQL.
C. Connect to Cloud SQL using a connection that has SSL encryption.
D. Export data periodically to a Cloud Storage bucket protected by Customer-Supplied Encryption Keys.

Answer: B

NEW QUESTION # 141
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