2024 Updated Google Professional-Cloud-Database-Engineer Certification Study Guide Pass Professional-Cloud-Database-Engineer Fast
Professional-Cloud-Database-Engineer Dumps PDF 2024 Program Your Preparation EXAM SUCCESS
Google Professional-Cloud-Database-Engineer certification exam is designed to test the knowledge and skills of individuals who want to become certified database engineers. Google Cloud Certified - Professional Cloud Database Engineer certification is offered by Google Cloud and is intended for individuals who have experience in designing, building, and maintaining databases on the Google Cloud Platform.
Google Professional-Cloud-Database-Engineer certification exam is intended for individuals who have experience in database administration, development, and management on the Google Cloud platform. Professionals who pass this certification exam demonstrate their ability to design, develop, and manage highly scalable, secure, and available databases on the Google Cloud Platform.
NEW QUESTION # 36
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?
- A. Fail over to the Cloud SQL for MySQL HA instance. Use that instance to recover the transactions that occurred before the corruption.
- B. Perform a point-in-time recovery of your Cloud SQL for MySQL database, selecting a date and time before the data was corrupted.
- C. 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.
- D. Open the Google Cloud Console, navigate to SQL > Backups, and select the last version of the automated backup before the corruption.
Answer: C
NEW QUESTION # 37
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google-recommended practices to optimize platform costs. What should you do?
- A. Use Query Insights to identify idle instances.
- B. Run the Recommender API to identify overprovisioned instances.
- C. Build indexes on heavily accessed tables.
- D. Remove inactive user accounts.
Answer: B
Explanation:
The Cloud SQL overprovisioned instance recommender helps you detect instances that are unnecessarily large for a given workload. It then provides recommendations on how to resize such instances and reduce cost. This page describes how this recommender works and how to use it. https://cloud.google.com/sql/docs/mysql/recommender-sql-overprovisioned#:~:text=The%20Cloud%20SQL%20overprovisioned%20instance%20recommender%20helps%20you%20detect%20instances%20that%20are%20unnecessarily%20large%20for%20a%20given%20workload.%20It%20then%20provides%20recommendations%20on%20how%20to%20resize%20such%20instances%20and%20reduce%20cost.%20This%20page%20describes%20how%20this%20recommender%20works%20and%20how%20to%20use%20it.
NEW QUESTION # 38
Your organization operates in a highly regulated industry. Separation of concerns (SoC) and security principle of least privilege (PoLP) are critical. The operations team consists of:
Person A is a database administrator.
Person B is an analyst who generates metric reports.
Application C is responsible for automatic backups.
You need to assign roles to team members for Cloud Spanner. Which roles should you assign?
- A. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseReader for Person B
roles/spanner.backupAdmin for Application C - B. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseUser for Person B
roles/spanner databaseReader for Application C - C. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseReader for Person B
roles/spanner.backupWriter for Application C - D. roles/spanner.databaseAdmin for Person A
roles/spanner.databaseUser for Person B
roles/spanner.backupWriter for Application C
Answer: A
NEW QUESTION # 39
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 SQL with cross-region replicas.
- C. Use Cloud Spanner in a multi-region configuration.
- D. Use highly available Cloud SQL with multiple zones.
Answer: A
NEW QUESTION # 40
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. 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
- B. 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.
- C. 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.
- D. 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.
Answer: D
Explanation:
Use Firestore in Datastore mode for new server projects. Firestore in Datastore mode allows you to use established Datastore server architectures while removing fundamental Datastore limitations. Datastore mode can automatically scale to millions of writes per second. Use Firestore in Native mode for new mobile and web apps. Firestore offers mobile and web client libraries with real-time and offline features. Native mode can automatically scale to millions of concurrent clients.
NEW QUESTION # 41
Your project is using Bigtable to store data that should not be accessed from the public internet under any circumstances, even if the requestor has a valid service account key. You need to secure access to this dat a. What should you do?
- A. Use customer-managed encryption keys (CMEK).
- B. Use Identity and Access Management (IAM) for Bigtable access control.
- C. Use Google Cloud Armor to add IP addresses to an allowlist.
- D. Use VPC Service Controls to create a trusted network for the Bigtable service.
Answer: D
NEW QUESTION # 42
Your company is using Cloud SQL for MySQL with an internal (private) IP address and wants to replicate some tables into BigQuery in near-real time for analytics and machine learning. You need to ensure that replication is fast and reliable and uses Google-managed services. What should you do?
- A. Use Cloud SQL federated queries.
- B. Develop a custom data replication service to send data into BigQuery.
- C. Use Database Migration Service to replicate tables into BigQuery.
- D. Use Datastream to capture changes, and use Dataflow to write those changes to BigQuery.
Answer: D
Explanation:
"Datastream is a serverless and easy-to-use Change Data Capture (CDC) and replication service that allows you to synchronize data across heterogeneous databases, storage systems, and applications reliably and with minimal latency. Datastream supports change data streaming from Oracle and MySQL databases to Google Cloud Storage (GCS). The service offers streamlined integration with Dataflow templates to power up to date materialized views in BigQuery for analytics, replicate their databases into Cloud SQL or Cloud Spanner for database synchronization, or leverage the event stream directly from GCS to realize event-driven architectures."
NEW QUESTION # 43
You are building an Android game that needs to store data on a Google Cloud serverless database. The database will log user activity, store user preferences, and receive in-game updates. The target audience resides in developing countries that have intermittent internet connectivity. You need to ensure that the game can synchronize game data to the backend database whenever an internet network is available. What should you do?
- A. Use Cloud SQL with an external (public) IP address.
- B. Use Firestore.
- C. Use Cloud Spanner.
- D. Use an in-app embedded database.
Answer: B
Explanation:
https://firebase.google.com/docs/firestore
NEW QUESTION # 44
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. Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.
- B. 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.
- C. Create additional read replicas, and partition your analytics users to use different read replicas.
- D. Create secondary indexes on the replica.
- E. 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.
Answer: A,C
NEW QUESTION # 45
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 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. - B. 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. - C. 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. - D. 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.
Answer: D
Explanation:
https://cloud.google.com/datastream/docs/overview.
NEW QUESTION # 46
You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached dat a. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?
- A. Use Firestore and ensure that the PersistenceEnabled option is set to true.
- B. Use Memorystore for Memcached.
- C. Use Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.
- D. Use Pub/Sub to synchronize the changes from the application to Cloud Spanner.
Answer: A
Explanation:
https://firebase.google.com/docs/firestore/manage-data/enable-offline
NEW QUESTION # 47
You are choosing a new database backend for an existing application. The current database is running PostgreSQL on an on-premises VM and is managed by a database administrator and operations team. The application data is relational and has light traffic. You want to minimize costs and the migration effort for this application. What should you do?
- A. Migrate the existing database to Cloud SQL for PostgreSQL.
- B. Migrate the existing database to PostgreSQL running on Compute Engine.
- C. Migrate the existing database to Firestore.
- D. Migrate the existing database to Cloud Spanner.
Answer: A
Explanation:
You could migrate to Spanner leveraging the PostgreSQL dialect, but costs need to be minimized so that wouldn't be the cheapest option. Especially since the load doesn't justify Spanner. Again, you could migrate like-for-like to a GCE VM, but that defeats minimizing the migration effort. The cheapest and easiest way to migrate would be Database Migration Service to Cloud SQL for PostgreSQL.
NEW QUESTION # 48
Your company is evaluating Google Cloud database options for a mission-critical global payments gateway application. The application must be available 24/7 to users worldwide, horizontally scalable, and support open source databases. You need to select an automatically shardable, fully managed database with 99.999% availability and strong transactional consistency. What should you do?
- A. Select Cloud Spanner.
- B. Select Bare Metal Solution for Oracle.
- C. Select Bigtable.
- D. Select Cloud SQL.
Answer: A
Explanation:
The application must be available 24/7 to users worldwide, horizontally scalable, and support open source databases.
NEW QUESTION # 49
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. Ensure that the service account has the Storage Admin role.
- B. Close idle connections or restart the instance before beginning the import operation.
- C. Increase the amount of memory allocated to your instance.
- D. Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.
Answer: B
Explanation:
https://cloud.google.com/sql/docs/mysql/import-export#troubleshooting
NEW QUESTION # 50
You are using Compute Engine on Google Cloud and your data center to manage a set of MySQL databases in a hybrid configuration. You need to create replicas to scale reads and to offload part of the management operation. What should you do?
- A. Use Data Migration Service.
- B. Use external server replication.
- C. Use the mysqldump utility and binary logs.
- D. Use Cloud SQL for MySQL external replica.
Answer: A
NEW QUESTION # 51
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?
- A. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .
- B. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance. Check the replication status using pg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.
- C. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.
- D. Restore the Cloud SQL instance from the automatic backups in region 3.
Answer: B
Explanation:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery
NEW QUESTION # 52
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google-recommended practices to optimize platform costs. What should you do?
- A. Use Query Insights to identify idle instances.
- B. Run the Recommender API to identify overprovisioned instances.
- C. Build indexes on heavily accessed tables.
- D. Remove inactive user accounts.
Answer: B
NEW QUESTION # 53
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage. What should you do?
- A. Create two read-write Cloud SQL instances in two different zones with a standby instance in another region.
- B. Create one regional Cloud SQL instance in one zone with a standby instance in another zone in the same region.
- C. Create two read-write Cloud SQL instances in two different regions with a standby instance in another zone.
- D. Create one regional Cloud SQL instance with a read replica in another region.
Answer: B
Explanation:
This answer is correct because it meets the requirements of having an optimal and highly available environment with automatic failover. According to the Google Cloud documentation1, a regional Cloud SQL instance is an instance that has a primary server in one zone and a standby server in another zone within the same region. The primary and standby servers are kept in sync using synchronous replication, which ensures zero data loss and minimal downtime in case of a zonal outage or an instance failure. If the primary server becomes unavailable, Cloud SQL automatically fails over to the standby server, which becomes the new primary server1.
NEW QUESTION # 54
......
Google Professional-Cloud-Database-Engineer certification is an essential credential for professionals seeking to demonstrate their expertise in designing, developing, and managing cloud-based databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification provides candidates with the skills, knowledge, and credibility required to advance their careers in the cloud database industry. If you are interested in becoming a Google Cloud Certified Professional-Cloud-Database-Engineer, start preparing today by reviewing the exam objectives, taking practice exams, and gaining hands-on experience with Google Cloud Platform.
Get Perfect Results with Premium Professional-Cloud-Database-Engineer Dumps Updated 134 Questions: https://www.actualtestsquiz.com/Professional-Cloud-Database-Engineer-test-torrent.html
Free Professional-Cloud-Database-Engineer Exam Study Guide for the NEW Dumps Test Engine: https://drive.google.com/open?id=1kq1hdb4gv5rH0gLYpU0u1b6UGUM2AEdc
