Google Professional-Cloud-Database-Engineer Updated Testkings | Professional-Cloud-Database-Engineer Practice Tests
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The Google Professional-Cloud-Database-Engineer Exam consists of multiple-choice questions and scenarios that test your ability to design, deploy, and manage databases on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam covers a wide range of topics, including database design, data modeling, database deployment, data security, and database optimization. Passing Professional-Cloud-Database-Engineer exam demonstrates your expertise in managing databases on the Google Cloud Platform and can help you advance your career in this field.
To become a Google Cloud Certified Professional-Cloud-Database-Engineer, candidates must pass a two-hour computer-based exam that consists of multiple-choice and multiple-response questions. Professional-Cloud-Database-Engineer exam is designed to test a candidate's ability to design, develop, and manage cloud-based databases on Google Cloud Platform. Candidates must have a strong understanding of database management, database security, and database performance tuning.
Google Cloud Certified - Professional Cloud Database Engineer is an advanced level certification exam offered by Google Cloud. It is designed for IT professionals who are responsible for managing and maintaining cloud-based databases. Google Cloud Certified - Professional Cloud Database Engineer certification is a validation of an individual's expertise in designing, developing, and managing scalable and secure cloud-based databases on Google Cloud Platform.
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q107-Q112):
NEW QUESTION # 107
You want to migrate your on-premises PostgreSQL database to Compute Engine. You need to migrate this database with the minimum downtime possible. What should you do?
- A. Use Database Migration Service to migrate your database.
- B. Create a hot standby on Compute Engine, and use PgBouncer to switch over the connections.
- C. Create a read replica on Cloud SQL, and then promote it to a read/write standalone instance.
- D. Perform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.
Answer: B
Explanation:
PgBouncer maintains a pool for connections for each database and user combination. PgBouncer either creates a new database connection for a client or reuses an existing connection for the same user and database. + PgBouncer is a simple PostgreSQL connection pool that allows for several thousand connections at a time. Using Kubernetes Engine to run a Helm Chart w/ PgBouncer based on the great article from futuretech-industries, we were able to set up an easily deployable system to get the most out of our CloudSQL DBs without breaking the bank. https://medium.com/google-cloud/increasing-cloud-sql-postgresql-max-connections-w-pgbouncer-kubernetes-engine-49b0b2894820#:~:text=That%20is%20where,breaking%20the%20bank.
NEW QUESTION # 108
Your customer has a global chat application that uses a multi-regional Cloud Spanner instance. The application has recently experienced degraded performance after a new version of the application was launched. Your customer asked you for assistance. During initial troubleshooting, you observed high read latency. What should you do?
- A. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.
- B. Use query parameters to speed up frequently executed queries.
- C. Change the Cloud Spanner configuration from multi-region to single region.
- D. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.
Answer: A
Explanation:
To troubleshoot high read latency, you can use SQL statements to analyze the SPANNER_SYS.READ_STATS* tables. These tables contain statistics about read operations in Cloud Spanner, including the number of reads, read latency, and the number of read errors. By analyzing these tables, you can identify the cause of the high read latency and take appropriate action to resolve the issue. Other options, such as using query parameters to speed up frequently executed queries or changing the Cloud Spanner configuration from multi-region to single region, may not be directly related to the issue of high read latency. Similarly, analyzing the SPANNER_SYS.QUERY_STATS* tables, which contain statistics about query operations, may not be relevant to the issue of high read latency.
NEW QUESTION # 109
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 data replication tools and CDC tools to enable migration.
- 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 Database Migration Service to migrate all databases to Cloud SQL.
- D. Use a combination of Database Migration Service and partner tools to support the data migration strategy.
Answer: B
NEW QUESTION # 110
You are designing an augmented reality game for iOS and Android devices. You plan to use Cloud Spanner as the primary backend database for game state storage and player authentication. You want to track in-game rewards that players unlock at every stage of the game. During the testing phase, you discovered that costs are much higher than anticipated, but the query response times are within the SLA.
You want to follow Google-recommended practices. You need the database to be performant and highly available while you keep costs low. What should you do?
- A. Use the Cloud Spanner query optimizer to determine the most efficient way to execute the SQL query.
- B. Manually scale down the number of nodes after the peak period has passed.
- C. Use interleaving to co-locate parent and child rows.
- D. Use granular instance sizing in Cloud Spanner and Autoscaler.
Answer: D
Explanation:
Granular instance is available in Public Preview. With this feature, you can run workloads on Spanner at as low as 1/10th the cost of regular instances, https://cloud.google.com/blog/products/databases/get-more-out-of-spanner-with-granular-instance-sizing
NEW QUESTION # 111
Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic. Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?
- A. Use Cloud Spanner for data storage.
- B. Use Cloud SQL for data storage.
- C. Use Memorystore for data storage.
- D. Use Bigtable for data storage.
Answer: A
Explanation:
google Cloud Spanner is a highly scalable, reliable, and fully managed relational database service that runs on Google's infrastructure. It's designed to handle large amounts of data and provide high availability, even in the face of failures. Spanner can be used to store and manage data for a variety of applications, including e-commerce websites. Spanner is a good choice for this scenario because it can handle high write throughput and provides 99.99% uptime. It's also a good fit for applications that need to be highly available, even in the face of failures.
NEW QUESTION # 112
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