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  • Exam Name: Google Cloud Certified - Professional Cloud Database Engineer
  • Last Update: 24-Apr-2024
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Professional-Cloud-Database-Engineer Questions and Answers

Question # 1

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 Google-managed encryption keys.

B.

Create the database with customer-managed encryption keys.

C.

Create the database persistent disk with Google-managed encryption keys.

D.

Create the database persistent disk with customer-managed encryption keys.

Question # 2

Your company has PostgreSQL databases on-premises and on Amazon Web Services (AWS). You are planning multiple database migrations to Cloud SQL in an effort to reduce costs and downtime. You want to follow Google-recommended practices and use Google native data migration tools. You also want to closely monitor the migrations as part of the cutover strategy. What should you do?

A.

Use Database Migration Service to migrate all databases to Cloud SQL.

B.

Use Database Migration Service for one-time migrations, and use third-party or partner tools for change data capture (CDC) style migrations.

C.

Use data replication tools and CDC tools to enable migration.

D.

Use a combination of Database Migration Service and partner tools to support the data migration strategy.

Question # 3

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.

Create secondary indexes on the replica.

B.

Create additional read replicas, and partition your analytics users to use different read replicas.

C.

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.

D.

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.

E.

Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.

Question # 4

You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.

You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

A.

Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage.

Upload the changes into BigQuery, and merge them with existing tables.

B.

Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.

C.

Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.

D.

Use Database Migration Service to replicate data to a Cloud SQL for MySQL instance. Create federated tables in BigQuery on top of the replicated instances to transform and load the data into your BigQuery database.

Question # 5

Your team recently released a new version of a highly consumed application to accommodate additional user traffic. Shortly after the release, you received an alert from your production monitoring team that there is consistently high replication lag between your primary instance and the read replicas of your Cloud SQL for MySQL instances. You need to resolve the replication lag. What should you do?

A.

Identify and optimize slow running queries, or set parallel replication flags.

B.

Stop all running queries, and re-create the replicas.

C.

Edit the primary instance to upgrade to a larger disk, and increase vCPU count.

D.

Edit the primary instance to add additional memory.

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