Professional-Cloud-Database-Engineer Exam Dumps - Google Cloud Certified - Professional Cloud Database Engineer

Question # 4

You work in the logistics department. Your data analysis team needs daily extracts from Cloud SQL for MySQL to train a machine learning model. The model will be used to optimize next-day routes. You need to export the data in CSV format. You want to follow Google-recommended practices. What should you do?

Use Cloud Scheduler to trigger a Cloud Function that will run a select * from table(s) query to call the cloudsql.instances.export API.

Use Cloud Scheduler to trigger a Cloud Function through Pub/Sub to call the cloudsql.instances.export API.

Use Cloud Composer to orchestrate an export by calling the cloudsql.instances.export API.

Use Cloud Composer to execute a select * from table(s) query and export results.

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Question # 5

Your organization deployed a new version of a critical application that uses Cloud SQL for MySQL with high availability (HA) and binary logging enabled to store transactional information. The latest release of the application had an error that caused massive data corruption in your Cloud SQL for MySQL database. You need to minimize data loss. What should you do?

Open the Google Cloud Console, navigate to SQL > Backups, and select the last version of the automated backup before the corruption.

Reload the Cloud SQL for MySQL database using the LOAD DATA command to load data from CSV files that were used to initialize the instance.

Perform a point-in-time recovery of your Cloud SQL for MySQL database, selecting a date and time before the data was corrupted.

Fail over to the Cloud SQL for MySQL HA instance. Use that instance to recover the transactions that occurred before the corruption.

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Question # 6

You are configuring the networking of a Cloud SQL instance. The only application that connects to this database resides on a Compute Engine VM in the same project as the Cloud SQL instance. The VM and the Cloud SQL instance both use the same VPC network, and both have an external (public) IP address and an internal (private) IP address. You want to improve network security. What should you do?

Disable and remove the internal IP address assignment.

Disable both the external IP address and the internal IP address, and instead rely on Private Google Access.

Specify an authorized network with the CIDR range of the VM.

Disable and remove the external IP address assignment.

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Question # 7

Your organization is running a MySQL workload in Cloud SQL. Suddenly you see a degradation in database performance. You need to identify the root cause of the performance degradation. What should you do?

Use Logs Explorer to analyze log data.

Use Cloud Monitoring to monitor CPU, memory, and storage utilization metrics.

Use Error Reporting to count, analyze, and aggregate the data.

Use Cloud Debugger to inspect the state of an application.

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Question # 8

Your company wants to migrate an Oracle-based application to Google Cloud. The application team currently uses Oracle Recovery Manager (RMAN) to back up the database to tape for long-term retention (LTR). You need a cost-effective backup and restore solution that meets a 2-hour recovery time objective (RTO) and a 15-minute recovery point objective (RPO). What should you do?

Migrate the Oracle databases to Bare Metal Solution for Oracle, and store backups on tapes on-premises.

Migrate the Oracle databases to Bare Metal Solution for Oracle, and use Actifio to store backup files on Cloud Storage using the Nearline Storage class.

Migrate the Oracle databases to Bare Metal Solution for Oracle, and back up the Oracle databases to Cloud Storage using the Standard Storage class.

Migrate the Oracle databases to Compute Engine, and store backups on tapes on-premises.

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Question # 9

You are designing a payments processing application on Google Cloud. The application must continue to serve requests and avoid any user disruption if a regional failure occurs. You need to use AES-256 to encrypt data in the database, and you want to control where you store the encryption key. What should you do?

Use Cloud Spanner with a customer-managed encryption key (CMEK).

Use Cloud Spanner with default encryption.

Use Cloud SQL with a customer-managed encryption key (CMEK).

Use Bigtable with default encryption.

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Question # 10

Your customer is running a MySQL database on-premises with read replicas. The nightly incremental backups are expensive and add maintenance overhead. You want to follow Google-recommended practices to migrate the database to Google Cloud, and you need to ensure minimal downtime. What should you do?

Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.

Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud SQL.

Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.

Create an external replica, and use Cloud SQL to synchronize the data to the replica.

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Question # 11

You manage a production MySQL database running on Cloud SQL at a retail company. You perform routine maintenance on Sunday at midnight when traffic is slow, but you want to skip routine maintenance during the year-end holiday shopping season. You need to ensure that your production system is available 24/7 during the holidays. What should you do?

Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15.

Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15.

Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and 1AM, and deny maintenance periods between November 1 and January 15.

Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays. Pause the Cloud Scheduler job between November 1 and January 15.

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Question # 12

You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance. During the discovery phase of your project, you notice that your on-premises server peaks at around 25,000 read IOPS. You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?

Create a SQL Server 2019 Standard on Standard machine type with 4 vCPUs, 15 GB of RAM, and 800 GB of solid-state drive (SSD).

Create a SQL Server 2019 Standard on High Memory machine type with at least 16 vCPUs, 104 GB of RAM, and 200 GB of SSD.

Create a SQL Server 2019 Standard on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 4 TB of SSD.

Create a SQL Server 2019 Enterprise on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 500 GB of SSD.

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Question # 13

Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?

Use Bigtable.

Use Firestore.

Use Cloud SQL for MySQL

Use Cloud Spanner.

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Question # 14

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?

Create a read replica for the Sales Reporting application.

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

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

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

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Question # 15

You are migrating your data center to Google Cloud. You plan to migrate your applications to Compute Engine and your Oracle databases to Bare Metal Solution for Oracle. You must ensure that the applications in different projects can communicate securely and efficiently with the Oracle databases. What should you do?

Set up a Shared VPC, configure multiple service projects, and create firewall rules.

Set up Serverless VPC Access.

Set up Private Service Connect.

Set up Traffic Director.

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Question # 16

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?

For each application code, set up a common shared user account.

For each application code, set up a dedicated user account.

For the application server, set up a service account.

For the application server, set up a common shared user account.

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Question # 17

You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?

Use Cloud SQL with read replicas for throughput.

Use Firestore, and rely on automatic serverless scaling.

Use Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.

Use Bigtable, and add nodes as necessary to achieve the required throughput.

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Question # 18

Your organization has a production Cloud SQL for MySQL instance. Your instance is configured with 16 vCPUs and 104 GB of RAM that is running between 90% and 100% CPU utilization for most of the day. You need to scale up the database and add vCPUs with minimal interruption and effort. What should you do?

Issue a gcloud sql instances patch command to increase the number of vCPUs.

Update a MySQL database flag to increase the number of vCPUs.

Issue a gcloud compute instances update command to increase the number of vCPUs.

Back up the database, create an instance with additional vCPUs, and restore the database.

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