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

Section	Objectives
Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Plan scalability and availability strategies 2. Choose relational and non-relational databases 3. Design globally distributed architectures
Managing database solutions	- Deploy and administer databases 1. Manage maintenance and upgrades 2. Configure backups and recovery 3. Implement monitoring and alerting
Securing and ensuring compliance of database solutions	- Implement security best practices 1. Enable encryption and auditing 2. Configure IAM and access controls 3. Ensure compliance and governance
Optimizing database performance	- Improve database efficiency 1. Tune queries and indexes 2. Troubleshoot performance bottlenecks 3. Optimize storage and compute resources
Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Use Database Migration Service 3. Validate migrated workloads

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q41-Q46):

NEW QUESTION # 41
You plan to use Database Migration Service to migrate data from a PostgreSQL on-premises instance to Cloud SQL. You need to identify the prerequisites for creating and automating the task. What should you do? (Choose two.)

A. Drop or disable all users except database administration users.
B. Shut down the database before the Data Migration Service task is started.
C. Ensure that pglogical is installed on the source PostgreSQL database.
D. Ensure that all PostgreSQL tables have a primary key.
E. Disable all foreign key constraints on the source PostgreSQL database.

Answer: C,D

Explanation:
https://cloud.google.com/database-migration/docs/postgres/faq

NEW QUESTION # 42
Your retail company is currently using DynamoDB to store product catalog data. Due to increasing data volumes and the need for better scalability, cost efficiency, and AI features; you have decided to migrate your data to Bigtable. You want a cost-effective migration, with minimal downtime and minimal effort, while ensuring data consistency between the two databases. What should you do-

A. Use Dataproc to export the data from DynamoDB and load it into Bigtable.
B. Develop a custom script using the DynamoDB and Bigtable APIs to directly transfer data between the two databases.
C. Export the DynamoDB data to CSV files, upload them to Cloud Storage, and use the cbtCLI to import the data into Bigtable.
D. Create a Dataflow pipeline using the DynamoDBIO and BigtableIO connectors to stream data from DynamoDB to Bigtable in near real time.

Answer: D

Explanation:
The most efficient, low-downtime migration approach is to use a Dataflow pipeline with DynamoDBIO and BigtableIO connectors. This enables near real-time streaming replication from DynamoDB to Bigtable, ensuring ongoing consistency during migration. Once the pipeline is in place and synchronized, you can cut over with minimal downtime, making it cost-effective and requiring minimal manual effort compared to custom scripts or batch exports.

NEW QUESTION # 43
You have an application that performs numerous reads and writes all day running in a single Bigtable cluster. A new batch analytics job needs to read the same data and you want to make sure that the new job does not affect the existing workload. What should you do-

A. Add a new cluster to the existing instance, and isolate the workloads with two app profiles.
B. Scale up the Bigtable instance by manually adding more nodes.
C. Add a new cluster to the existing instance, and enable multi-cluster routing in the app profile.
D. Scale up the Bigtable instance by enabling Autoscaling.

Answer: A

Explanation:
This is the only way to isolate your analytical reads from the production workload-by adding a second cluster in the same Bigtable instance and creating two app profiles (one bound to the primary cluster for OLTP, and one bound to the new cluster for analytics). This keeps the batch job's heavy scans off your production nodes, while still reading the same underlying data.

NEW QUESTION # 44
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?

A. For the application server, set up a common shared user account.
B. For each application code, set up a common shared user account.
C. For each application code, set up a dedicated user account.
D. For the application server, set up a service account.

Answer: C

NEW QUESTION # 45
You are setting up a new AlloyDB instance and want users to be able to use their existing identity and Access Managemen (IAM) identities to connect to AlloyDB. You have performed the following steps:
Manually enabled IAM authentication on the AlloyDB instance
Granted the allowdb-databaseUser and serviceusage.serviceusageConsumer IAM roles to the users Created new AllowDB database users based on corresponding IAM identities Users are able to connect but are reporting that they are not able to SELECT from application tables. What should you do?

A. Grant the alloydb.client IAM role to each user.
B. Grant the alloydb.alloydbreplica IAM role to each user.
C. Grant the new database users access privileges to the appropriate tables.
D. Grant the alloydb.viewer IAM role to each user.

Answer: C

NEW QUESTION # 46
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