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You are managing two different applications: Order Management and Sales Reporting. Both applications interact with the same Cloud SQL for MySQL database. The Order Management application reads and writes to the database 24/7, but the Sales Reporting application is read-only. Both applications need the latest data. You need to ensure that the Performance of the Order Management application is not affected by the Sales Reporting application. What should you do?

A.

Create a read replica for the Sales Reporting application.

B.

Create two separate databases in the instance, and perform dual writes from the Order Management application.

C.

Use a Cloud SQL federated query for the Sales Reporting application.

D.

Queue up all the requested reports in PubSub, and execute the reports at night.

Your organization has a critical business app that is running with a Cloud SQL for MySQL backend database. Your company wants to build the most fault-tolerant and highly available solution possible. You need to ensure that the application database can survive a zonal and regional failure with a primary region of us-central1 and the backup region of us-east1. What should you do?

A.

Provision a Cloud SQL for MySQL instance in us-central1-a.

Create a multiple-zone instance in us-west1-b.

Create a read replica in us-east1-c.

B.

Provision a Cloud SQL for MySQL instance in us-central1-a.

Create a multiple-zone instance in us-central1-b.

Create a read replica in us-east1-b.

C.

Provision a Cloud SQL for MySQL instance in us-central1-a.

Create a multiple-zone instance in us-east-b.

Create a read replica in us-east1-c.

D.

Provision a Cloud SQL for MySQL instance in us-central1-a.

Create a multiple-zone instance in us-east1-b.

Create a read replica in us-central1-b.

You are designing a database strategy for a new web application. You plan to start with a small pilot in one country and eventually expand to millions of users in a global audience. You need to ensure that the application can run 24/7 with minimal downtime for maintenance. What should you do?

A.

Use Cloud Spanner in a regional configuration.

B.

Use Cloud Spanner in a multi-region configuration.

C.

Use Cloud SQL with cross-region replicas.

D.

Use highly available Cloud SQL with multiple zones.

You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?

A.

Define a connection string using your Google username and password to point to the external (public) IP address of your Cloud SQL instance.

B.

Define a connection string using a database username and password to point to the internal (private) IP address of your Cloud SQL instance.

C.

Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the internal (private) IP address of your Cloud SQL instance.

D.

Define a connection string using Cloud SQL Auth proxy configured with a service account to point to the external (public) IP address of your Cloud SQL instance.

You are building an application that allows users to customize their website and mobile experiences. The application will capture user information and preferences. User profiles have a dynamic schema, and users can add or delete information from their profile. You need to ensure that user changes automatically trigger updates to your downstream BigQuery data warehouse. What should you do?

A.

Store your data in Bigtable, and use the user identifier as the key. Use one column family to store user profile data, and use another column family to store user preferences.

B.

Use Cloud SQL, and create different tables for user profile data and user preferences from your recommendations model. Use SQL to join the user profile data and preferences

C.

Use Firestore in Native mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.

D.

Use Firestore in Datastore mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.

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.

You have an application that sends banking events to Bigtable cluster-a in us-east. You decide to add cluster-b in us-central1. Cluster-a replicates data to cluster-b. You need to ensure that Bigtable continues to accept read and write requests if one of the clusters becomes unavailable and that requests are routed automatically to the other cluster. What deployment strategy should you use?

A.

Use the default app profile with single-cluster routing.

B.

Use the default app profile with multi-cluster routing.

C.

Create a custom app profile with multi-cluster routing.

D.

Create a custom app profile with single-cluster routing.

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 anduse 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.

You are starting a large CSV import into a Cloud SQL for MySQL instance that has many open connections. You checked memory and CPU usage, and sufficient resources are available. You want to follow Google-recommended practices to ensure that the import will not time out. What should you do?

A.

Close idle connections or restart the instance before beginning the import operation.

B.

Increase the amount of memory allocated to your instance.

C.

Ensure that the service account has the Storage Admin role.

D.

Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.

Your company is shutting down their data center and migrating several MySQL and PostgreSQL databases to Google Cloud. Your database operations team is severely constrained by ongoing production releases and the lack of capacity for additional on-premises backups. You want to ensure that the scheduled migrations happen with minimal downtime and that the Google Cloud databases stay in sync with the on-premises data changes until the applications can cut over.

What should you do? (Choose two.)

A.

Use an external read replica to migrate the databases to Cloud SQL.

B.

Use a read replica to migrate the databases to Cloud SQL.

C.

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

D.

Use a cross-region read replica to migrate the databases to Cloud SQL.

E.

Use replication from an external server to migrate the databases to Cloud SQL.